Data Management Consultant Resume Samples

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M Grimes

Marcelo

Grimes

97261 Davion Shoal

Los Angeles

+1 (555) 879 8773

97261 Davion Shoal

Los Angeles

Phone

p +1 (555) 879 8773

Experience Experience

Los Angeles, CA

Data Management Consultant

Los Angeles, CA

West-Feest

Los Angeles, CA

Data Management Consultant

Advise clients in the financial services industry in Luxembourg, mainly for the Banking and Investment Fund industries
Conduct market analyses
Design, assess and optimize operating models
Analyze and optimize processes
Conduct data management projects
Help in the day-to-day management of the engagements
Identify opportunities and contribute to our business development activities

Philadelphia, PA

Technical Consultant Data Management

Philadelphia, PA

Glover LLC

Philadelphia, PA

Technical Consultant Data Management

Support the sales organization during pursuit phases developing solutions and conducting presentations
Good knowledge of IT Infrastructure related topics (Network, Server OS, IIS, MS SQL Server, etc.)
Domain knowledge of engineering, and the use commercial Data Management and PLM tools
Contribute to Autodesk IP and assets through methods development and sales collateral
Establishes credibility at all levels with clients and builds problem-solving partnerships with clients and colleagues
Microsoft IIS: knowledge of IIS environment and WEB Services
Autodesk CAD & DM application knowledge (Autodesk Inventor, AutoCAD Mechanical, Vault Professional)

present

Philadelphia, PA

Senior Consultant Data Management

Philadelphia, PA

Kulas LLC

present

Philadelphia, PA

Senior Consultant Data Management

present

Proven track record of establishing and leading organizations or significant Enterprise Programs/ Processes
10+ Years in Application or Data Management
Establish on going governance for maintaining consensus and test usage
Coordinate with Domain Governance and EDIM teams to provide inputs into their respective processes
Strong Project Planning/Management
Work cross organizationally to drive consensus on data quality dimensions and standardized tests
Contribute to defining the domain test model

Education Education

Bachelor’s Degree in Mechanical Engineering

Georgetown University

Bachelor’s Degree in Mechanical Engineering

Skills Skills

Detail oriented with the ability to multi-task across both business and technical deliverables
Able to work independently and provide updates to management
Ability to multitask in a fast-paced dynamic workforce
Ability to work independently as well as in a team environment
Ability to drive projects from concept to deployment
Excellent leadership, communication (written and oral) and interpersonal skills
Strong analytical and problem solving capabilities
Solid communication, interpersonal and presentation skills to work effectively among all levels of internal/external partners/clients
Self-starter, with a keen interest in technology and highly motivated towards success
Detailed understanding of both the ‘traditional’ data context and the ‘new’ data possibilities with big data solutions

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15 Data Management Consultant resume templates

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Technical Consultant Data Management Resume Examples & Samples

Bachelors degree in mechanical engineering (masters degree strongly desired)
Very good domain knowledge of Data management and PLM within the MCAD/ mechanical engineering/ manufacturing industry is a must
5 years’ experience in the Data Management and PLM domain
Work with customers to determine breadth and depth of Data Management and PLM needs (see below)
Analyze Customer requirements and contribute to the design of Autodesk products accordingly
Deliver customized and configured solutions on top of Autodesk core products in the manufacturing domain
Act as technical lead of a team of internal and 3rd party engineering resources (as the project requires) working to develop a solution for a customer
Familiarity with other non-Autodesk applications such as Bentley Projectwise, Matrix One, Enovia, Team Center and Smart Team would be a plus
Demonstrated ability to define and specify custom configured Data Management and PLM solutions
SQL Server: Installation, Instance configuration, Backup & Recovery
Microsoft IIS: knowledge of IIS environment and WEB Services
VB, .NET an JAVA language for custom script would be a plus
Autodesk CAD & DM application knowledge (Autodesk Inventor, AutoCAD Mechanical, Vault Professional)
Proven experience with integration to ERP and MRP
Good understanding of Enterprise Customer Business processes
Proven ability to work across cross-cultural barriers and relate to the customer
Languages: Native Italian, English is a must, additional language appreciated

Technical Consultant Data Management Resume Examples & Samples

Work with customers to determine breadth and depth of BIM Based Collaboration and Data Management requirements
Support the sales organization during pursuit phases developing solutions and conducting presentations
Strong interaction and collaboration with the consulting disciplines before and during implementation phases within projects to ensure appropriate architectures and solutions
Deliver customized and configured solutions on top of Autodesk core products in the AEC domain
Act as technical lead for Collaboration and Data Management solutions for the delivery team for both internal and 3rd party engineering resources (as the project requires)
Contribute to Autodesk IP and assets through methods development and sales collateral
Ensure Autodesk’s` credibility to build and maintain the strategic partnership with the customers
Hands-on domain knowledge of AEC industry
Hands-on Collaboration and Data Management Solutions product knowledge (preferred Autodesk solutions)
Good knowledge of IT Infrastructure related topics (Network, Server OS, IIS, MS SQL Server, etc.)
Project and Enterprise level technical implementation experience
Familiarity with other non-Autodesk Collaboration, Data Management and Document Management applications such as Bentley ProjectWise, Aconex and other project control systems
Bachelor’s degree in civil engineering/ architecture / computer science / information technology (master’s degree strongly desired)
Knowledge of BIM requirements within the AEC industry for Collaboration & Data Management domain
Strong Leadership, communication (verbal and written), and interpersonal skills as well as strong planning and organization skill
Understanding of Business Process Analysis methods
Understanding of enterprise customer business processes
Excellent spoken and written English language is a must
Experience in working with Autodesk Vault, Autodesk Revit Server, Autodesk Buzzsaw, Autodesk Navisworks, BIM 360, A360, AutoCAD, AutoCAD Civil 3D
Knowledge of database technologies (SQL Server, Oracle ...)
Knowledge of programming languages, especially VB, VBA, .NET, C++ and Java
5 years’ experience in the BIM and Collaboration related AEC domain

Collaboration & Data Management Leadtechnical Consultant Resume Examples & Samples

Bachelor’s degree in engineering/ computer science/ information technology (master’s degree strongly desired)
Domain knowledge of Data management and PLM within the MCAD/ mechanical engineering/ manufacturing industry strongly desired
5+ years’ experience in the Data Management and PLM domain
Experienced in remote managing international teams
Participate in all phases of implementation projects
Leading a team of Technical Consultants and managing
Domain knowledge of engineering, and the use commercial Data Management and PLM tools
Experience with the AEC/ENI industry would be a plus
Familiarity with other non-Autodesk applications such as Bentley Projectwise, Matrix One, Enovia, Team Center and Smart Team a plus
Strong working knowledge of software development practices required
SQL expertise would be a plus
Good understanding of Business Process Analysis methods
Good understanding of enterprise customer business processes
Good remote people management skills for a team of international technical consultants
Demonstrated/ proven/ excellent customer service skills working with multinational key customers
English is a must, additional language appreciated

Data Management Consultant Resume Examples & Samples

Advise clients in the financial services industry in Luxembourg, mainly for the Banking and Investment Fund industries
Conduct market analyses
Design, assess and optimize operating models
Analyze and optimize processes
Conduct data management projects
Help in the day-to-day management of the engagements
Identify opportunities and contribute to our business development activities

Data Management & Architecture Senior Consultant Resume Examples & Samples

Engagement Management: Manage a small team or a component of the project; develop work plansfor components of the engagement, determine the client needs by selecting andapplying appropriate approaches, tools and techniques to assess the client’sbusiness
Client Management: Manage day to day interactions with client teams and staff; communicateclearly and consistently on components objectives and activities; work closelywith client to understand engagement changes implications and facilitateimplementation
Business Development: Participate in aspects of the proposaldevelopment cycle; contribute to the development of proposal technical content;participate in the development of sales presentation or market positioningmaterial
Practice Development & Eminence: Participate in the development of market-valued intellectual capital;contribute to the development of practical solutions and methodologies,"thoughtware" and "point-of-view" documents; participate inthird parties and partners relationship building
People Development: Perform role of counselor and coach
4+ years of relevant data management consulting (master data, metadata,data architecture, data governance, data quality, data modeling) or industryexperience
2+ years of IM/DM&A project experience through all phases ofthe project lifecycle from scoping and planning, requirements gathering,design, development, testing, and go live. This effort can be within amanagement consulting environment or industry
Strongimplementation experience and deep knowledge in any one of the following threeareas and knowledge of the other 2 areas at a minimum. Implementationexperience in all the 3 areas preferred
Consultingor Industry experience in developing roadmap for an overarching data managementand strategy initiative at an enterprise level
Possess strong understanding of software development methodologies(RUP, Agile or other SDLC)
Ability to work independently, manage components of largeengagements
Strong oral and written communication skills, includingpresentation skills (MS Visio, MS PowerPoint)
Strong problem solving and troubleshooting skills with the abilityto exercise mature judgment

Data Management & Architecture Senior Consultant Resume Examples & Samples

SAP Package Technologies
Oracle Package Technologies
Engagement Management: Manage a small team or a component of the project; develop work plans for components of the engagement, determine the client needs by selecting and applying appropriate approaches, tools and techniques to assess the client’s business
Client Management: Manage day to day interactions with client teams and staff; communicate clearly and consistently on components objectives and activities; work closely with client to understand engagement changes implications and facilitate implementation
Practice Development & Eminence: Participate in the development of market-valued intellectual capital; contribute to the development of practical solutions and methodologies, "thoughtware" and "point-of-view" documents; participate in third parties and partners relationship building
4+ years of relevant data management consulting (master data, metadata, data architecture, data governance, data quality, data modeling) or industry experience
Knowledge of one or more DM&A MDM tools: Informatica MDM and/or Cloud MDM (ie: Reltio, TIBCO, Informatica, etc.)
2+ years of AIM/DM&A project experience through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and go live. This effort can be within a management consulting environment or industry
Strong implementation experience and deep knowledge in any one of the following three areas and knowledge of the other 2 areas at a minimum. Implementation experience in all the 3 areas preferred
Consulting or Industry experience in developing roadmap for an overarching data management and strategy initiative at an enterprise level
Possess strong understanding of software development methodologies (RUP, Agile or other SDLC)
Ability to work independently, manage components of large engagements

Master Data Management Consultant Resume Examples & Samples

Minimum of 3 years implementation experience on any one of the following technologies: IBM InfoSphere Master Data Management Server, IBM InfoSphere Product Information Management, Infomatica MDM (formerly Siperian), SAP MDM 7.x, SAP MDG, Oracle Product Hub, Oracle Customer Hub, TIBCO Collaborative Information Manager, D&B Purisma
Functional design and delivery experience for master data domains in an MDM technology (SAP ECC, SAP MDM / MDG, Informatica MDM etc.) Domains can be Customer, Vendor, Material, Assets etc
Strong project management and delivery experience leading large scale Information Management / Enterprise Data Management engagements through all phases of the project lifecycle including: requirements gathering, business case development, estimating, planning, application and architecture design, application and architecture development and all phases of testing
Business process design for managing Master Data throughout the lifecycle, including data quality, metadata and workflow technologies
Data and hierarchy design for the conceptual, logical and physical data model of the master, conditional and reference data
Experience in architecting Master Data solutions that integrate multiple systems and data through application consolidation/ migration / conversion, application integration and data integration
Executing current state assessments, documenting business process and identifying data quality KPI’s
Experience in defining data conversion and cleansing strategies that includes defining industry / function specific (Oil & Gas / Customer) data quality business rules
Bachelor Degree required
Experience with preparing and implementing technology requirements for the development processes in multiple architecture styles
Deep knowledge of Data Quality toolsets such as: Informatica IDE / IDQ, Trillium, SAP Data Services (BODS), IBM QualityStage and SAS/DataFlux
Experience in performing data quality analysis and discovering data quality issues, this includes coordinating with technology partners to gather source data and loading into an integrated database
Organization design for Data Governance and Master Data Organizations including, establishing Data Governance processes, roles and responsibilities across multiple business units
Expertise in Data Modeling & Data Administration Tools (Erwin, Designer/2000, Rational Rose, Power Designer, Embarcadero, System Architect
Oil & Gas functional knowledge a plus (Upstream, Downstream and Oil Field Services)
Integrating and deploying third-party data enrichment services (D&B, Experian, Ariba, IHS, Axion etc.)
Develop business cases for an MDM solution and the value it brings to an organization
Good understanding of data governance design and implementation and how data quality is a key component for the management of master data
Full Life Cycle Development
Team Lead skills
Previous experience in a consulting environment

Data Management Consultant Resume Examples & Samples

Collect, explore, evaluate and transform data from databases, flat files, spreadsheets, and other data sources
Conduct deep research & ad hoc analyses using analytical best practices on clinical data, ensure HIPAA compliance, and prepare various styles of reports and visualizations required by internal and external customers
Ability to translate complex analytical and data related concepts into a simplified consumable manner. Can create statistical tests to prove value of new products or business hypotheses
Ability to understand database architecture and design principles to define cardinality and entity relationships across systems. Demonstrates advanced knowledge of database design principles and data administration standards
Demonstrates advanced knowledge of database design and support tools
Can quickly interpret and adapt to logical data models using both relational and dimensional modeling techniques
Design advanced reports from queried data using SSRS, Excel, PowerPoint, SAS and R Visualizations
Ability to write SQL queries and build SSRS reports and code in R and SAS (previous data mining and predictive analytics experience a plus)
Able to define methodology and analytics approach as required for each specific data analysis project and document all assumptions
Act as a subject matter expert on medical device data
Has in-depth experience, knowledge and skills in own job family
Applies knowledge and skills to a wide range of standard and non-standard situations,, uses creativity to solve problems and improve processes
Aligns work priorities with organizational goals, sets customer expectations on scope and deliverable schedules
Acts as a resource for colleagues with less experience
Bachelor's (BS) in Computer Science, Business or related field preferred or equivalent work experience, advanced degree preferred
Minimum 5 years experience required
Strong math, statistics, and data mining backgrounds, experience with predictive analytics a plus
Strong analytical, problem solving, organizational, and planning skills
Proficient PC skills; including working knowledge of Microsoft Office products, SQL Server, R, SAS
Proven database experience with the ability to write ad-hoc queries and test accuracy of results
LI-FH1

Data Management Consultant Resume Examples & Samples

Demonstrates advanced knowledge of database design principles and data administration standards
Demonstrates advanced knowledge of at least one database platform
Develops logical and physical data models for medium projects using both relational and dimensional modeling techniques
Administers moderately complex databases on at least one database platform
Bachelor of Science (BS) in Computer Science, Business or related field preferred or equivalent work experience
Proficient PC skills including working knowledge of Microsoft Office products

Data Analytics & Knowledge Management Consultant Resume Examples & Samples

SHIFT ASEAN has been established in 2014 with initial funding from the Australian Government and focuses on ASEAN’s frontier economies of Cambodia, Lao PDR, Myanmar and Viet Nam (CLMV)
Analyse, consolidate and communicate data and research on supply, demand and case-study innovations in financial markets to strengthen the evidence base. The consultant will implement SHIFT and Clean Start’s strategic approach to data analysis and usage, regularly produce, analyze and disseminate data on financial inclusion, with focus on sex, gender and household disaggregation and analysis, and support the work of programme stakeholders in undertaking such tasks
Conduct deep-dive research and analysis on financial inclusion with specific reference to gendered financial inclusion, digital financial services, remittances, loans and savings mobilization, energy finance. Help drive financial inclusion policy and practice by analyzing regional trends and market segments at local, provincial and national levels
Knowledge Management: Produce and coordinate easy-to-use presentations and communication material including data dashboards, maps, graphs, charts, info-graphics, blogs and other presentation material
Identify areas where data-sharing can enhance (digital) financial inclusion and generate partnerships, both within the UN system as well with our external partners. Represent UNCDF at conferences, forums and workshops. Conduct trainings on data analysis and usage for customer journey action research, if requested
Synthesize existing research findings and lessons and proactively disseminating this into formats tailored to government, DFS providers, private sector and donors. Promote and advocate the importance of data usage to help steer customer-centric product development, banking operations, financial inclusion practice and policy
Periodically curate, and disseminate available data sources on financial inclusion and digital financial services with particular reference to Findex, Financial Inclusion Insight, Mix Market data, World Development Indicators, Global Gender Report, Financial diaries and other datasets. Identifying data gaps and information needs among DFS regulators, DFS providers, MNOs and meso level organizations; identify digital financial services priorities for gender
(Co-)author working papers and focus notes with particular reference to gendered financial inclusion and big data, digital finance, and off-grid energy finance
Support in other activities, upon request
Contract duration: The Long Term Agreement shall be signed for an initial period of two years with extension for a third year based on satisfactory performance
Knowledge of UNCDF programmes would be an advantage
Strong analytical and writing skills and track record in producing relevant reports and other material
A strong interest and affiliation with data analysis, big data, capacity building, innovation, organizational design and process improvement and change management and financial inclusion policy and practice
An innovative mindset with a capacity to learn, undertake new research and understand knowledge dissemination methods
Minimum 5 years relevant professional experience in undertaking research with expertise in financial inclusion and/or development finance (digital finance and gendered financial inclusion advantageous)
Demonstrated experience in analyzing and interpreting data to produce recommendations to support related areas such as capacity building, innovation, financial inclusion practice and policy
Proven experience in producing and disseminating research papers
Proven quantitative and qualitative research and problem solving skills with the ability to think strategically and rapidly analyze, interpret and integrate data information from various data sets into clear conclusions and recommendations
Able to curate and mine large datasets and information, while keeping data outputs simple and digestible
Advanced knowledge of statistical database software’s such as R-studio, STATA, Excel and/or qualitative analysis software (e.g. Nvivo)
Advanced presentation skills (including proficiency with for example PowerPoint, webinar software, Prezi, Tablue Public)
A one-page letter indicating why the candidate considers himself/herself suitable for the required consultancy. This could be indicated online
Filled in and duly signed letter of Intent including a financial proposal which can be downloaded from the following link: https://jobs-admin.undp.org/cj_job_screening_rights.cfm?job_id=68476
Two signed references or three references contact details
Sample or detailed summary of similar works – that you consider to be the best and most relevant example to this ToR (1 sample needed)
Masters or PhD in Development, Economics, Econometrics, Data Science, Business Administration, or similar studies
Minimum of 5 years of experience with expertise in financial inclusion, development finance, Big data research, or digital and energy finance
A letter indicating why the candidate considers himself/herself suitable for the required consultancy
Submission of a detailed updated CV or P11 with two signed references or three references contacts
Submission of Letter of Intent and Financial Offer as per attached form on the following link http://procurement-notices.undp.org/view_file.cfm?doc_id=68718
Sample of your work that you consider to be the best and most relevant example to this ToR (1 sample needed)
Advanced knowledge and experience of statistical database software’s such as R-studio, STATA, Excel and/or qualitative analysis software (e.g. Nvivo)
Level of relevancy of working experience in financial inclusion, development finance, or digital and energy finance (20 points)
Functional competencies for assignment (research, analytical and presentation skills) - (50 points)
Level of Expertise and knowledge in data management related to financial inclusion (30 points)
Demonstrated ability to use data to drive financial inclusion practice and policies

Principal Data Management Consultant Resume Examples & Samples

Data management and data quality solution design
Working with real time integration of IoT data with our Event Stream Processing engine
Implementing data integration and data quality solutions for use in sales situations and customer site visits
Working within a Master Data Management and / or Data Governance framework where appropriate
Developing, testing and implementing software applications for internal and external customers
Working closely with a technical lead, project manager and other team members
Reviewing and editing documentation for consulting projects and other divisions as needed
Providing reliable delivery of targeted project results through the role as an expert in the application of specific SAS methodologies, products and technologies
Assisting in the scoping and defining of projected work effort, resource plans and estimating costs on phases / projects
Participating in gathering and documenting project requirements
Preparing, documentation and presenting materials for site visits, project work and training services

Consumer Data Management Consultant Resume Examples & Samples

Auditing daily processing activities, managing data acquisition, database enhancement and system development projects
Participates in requirements definition, benefits analysis, technical strategy, research and development, technical analysis and design and supports the definition, testing and final roll - out of marketing database solutions
Ability to help project manage team members to meet project related goals and support on - going maintenance
Bachelor degree in business, technology, related field or equivalent combination of education and relevant experience
3+ years of consumer marketing experience
Experience with relational databases, database structures and design, systems design, data management, data warehouse
Must be proficient in SQL / Oracle
Must be proficient with Microsoft Office
Must be proficient in Microsoft Access
Must be self - motivated, goal oriented, and able to work with ambiguity and confidentiality
Excellent organizational, verbal, and written communication skills
Healthcare experience; understanding of the Federal Medicare and Retirement program
SDLC Experience
Digital marketing experience, with knowledge of Real-Time Offer Management, API

Impact Measurement & Data Management Consultant Resume Examples & Samples

Advanced skills in Microsoft Excel and PowerPoint
Understanding of inclusive business models, inclusive market development, and business sustainability
Understanding of the latest impact measurement methodologies
Understanding of the latest mobile-enabled data collection methodologies
Ability to coordinate and manage complex projects
Produce high quality analytical outputs in a timely manner
Ability to work independently, flexibly and under pressure utilizing initiative
Sound judgment, strategic thinking and the ability to manage competing priorities
Flexibility in responding to changing priorities in a fast-paced environment
Strong analytical, research and writing skills and demonstrated ability to think strategically
Strong inter-personal, communications, negotiation and liaison skills
Excellent written and spoken communication skills in English
A Master’s degree in Business, Public Policy, International Affairs or other relevant fields such as Economics, Social Science
Minimum of 3 years of professional experience in the areas of monitoring of evaluation, impact measurement, data analytics in private/public/non-profit sectors
Demonstrated experience with inclusive business/social business/impact investing/market-based approaches to development
Demonstrated experience in implementing impact measurement of inclusive business/social business
Demonstrated experience with data collection, database management and knowledge of the latest mobile-enabled data collection methodologies
Experience with coordinating complex projects involving multiple stakeholders
Experience with private sector initiatives in developing countries considered an asset
Experience working with the UN or similar organizations considered an asset
Experience working or conducting research in developing countries strongly preferred
Fluency in English is required (written and verbal). Working knowledge of other UN official language(s) is desirable
Criteria A: Demonstrated knowledge of inclusive business/social business/impact investing/market-based approaches to development – max. 5 points
Criteria B: Demonstrated experience in implementing impact measurement of inclusive business/social business; - max. 10 points
Criteria C: Demonstrated experience with data collection, database management, and knowledge of the latest mobile-enabled data collection methodologies – max. 9 points
Criteria D: Desk review of writing sample requested in the application procedure below which demonstrates strong research, analytical and writing skills in the impact measurement field – max. 5 points
Criteria E: Experience working with the UN or similar organizations (1 point)
Criteria F: (Interview): Competencies –
Filled P11 form including past experience in similar projects and contact details of referees

Data Management Consultant Resume Examples & Samples

Support the Enterprise Data Strategy, fully understand and communicate/evangelize the business value of data quality within the organization
Become proficient in the Data Management Policy, Enterprise Business Data Standards, Business Data Naming Standards and the Data Management Operating Model to help support and assist Data Stewards
Liaise with business segment stakeholders and project managers to ensure data is managed as a corporate asset. Build relationships with Domain Data Stewards and others in technical and business areas to ensure collaboration between project team members
Create a strong focus and understanding of how our data models fit in our overall metadata strategy and how they help us create a more comprehensive documentation view for our data assets in general
Develop an expert understanding of the Data Dictionary and Data Quality Business Requirements Artifacts; understand how information is gathered, used, stored, interpreted, and how it is integrated into the metadata repository
Explore ways to optimize the data collection and load process in coordination with our Metadata Maintenance teams. Propose changes to the load process to gain efficiencies while ensuring quality of metadata is still achieved
Research and analyze data, including data profiling. Assist with data definition, data quality rule creation, and monitoring process
Become proficient in the use of the metadata tool and assist in populating or updating metadata as needed
Coordinate activities with offshore data modeling resource(s) and work with data modeling practice in EDO Data Asset Management organization to ensure data modeling efforts for Content Creation are supported
Learn and stay up to date on industry trends and changes in governance/stewardship, data quality and metadata disciplines and how trends and changes could be applied to the current processes and practices
Support and promote efforts to communicate and assist with training on data standards, policy, processes and tools
Conduct audits of metadata loads for Data Dictionaries and Data Quality Business Requirements to ensure quality in metadata captured
Promote the social collaboration functionality of the metadata repository and establish ways to monitor and leverage user feedback and comments, in conjunction with the metadata lead/support team as necessary
When issues are identified, ensure appropriate escalation process is followed to document outcomes
Develop an understanding of the Data Management Scorecard; assist with metric collection, population and communication. Specific focus on ensuring all data models are documented and loaded in IGC in coordination with the data modeling practice in EDO Data Asset Management organization
Solid understanding of data modeling concepts, structures and database design for operational as well as analytical systems. Advanced or expert knowledge preferred
Knowledge of dimensional database structure
Strong knowledge and experience with data warehouse concepts, data management tools, metrics gathering, tracking, and reporting
Experience or familiarity with data extraction/manipulation tools and technologies (e.g. Toad, SQL, Oracle, SAS, Business Objects, Excel (including Power Pivots), Power View, JMP, Tableau, MSBI
Ability to quickly learn new technical data and data management concepts (Big Data, etc.)
Ability to research and analyze data for quality and document issues to have them brought to resolution
Strong proficiency and proven experience using Microsoft Office products, including Excel, PowerPoint and SharePoint; particularly strong proficiency with Excel, possessing familiarity with VBA macros, tables and formulas
Solid understanding of data management, metadata and data quality, including familiarity with data governance best practices desired, or ability to quickly learn these concepts
Understand business data stewardship needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to stewardship processes throughout the organization
Ability to work with cross-functional teams to identify, evaluate, implement, and communicate enterprise practices and standards for data management across systems
Strong verbal and written communication skills, time management and organizational skills required. Able to multitask and adapt quickly to change and coordinate activities with others
Demonstrated ability to create and maintain clear documentation, including but not limited to: training documentation and instructions, forms, surveys, Frequently Asked Questions (FAQ) and email communications
Business knowledge of the insurance industry
Politically astute and diplomatic
Self-motivated, strong sense of ownership and accountability, results-oriented individual with the ability to manage time and schedules effectively. Ensures deliverables are met on time and with high quality output

Finance & Risk-data Management Consultant Innovation Center for Data & Analytics Resume Examples & Samples

Work with System and Data Owners to identify business data lineage across integration layers
Document business data, data lineage and data quality information and integrate into final deliverables
Participate on workshops with key stakeholders from our clients to document data flows and processes
Bring domain and data knowledge to identify gaps and opportunities for driving efficiencies
Contribute to development of Accenture Points-of-View on a variety of Risk Analytics topics
Maintain an understanding of advancements in technology and innovations which are happening across Data Management and broader financial services marketplace
Experience with large-scale risk and/or finance infrastructure transformations
Excellent communication (verbal and written), facilitation and interpersonal skills
Demonstrated leadership and time management skills
Ability to work independently and manage multiple projects, assignments and/or responsibilities

Enterprise Master Data Management Consultant Resume Examples & Samples

Define data governance for big data/modern data architecture environments
Design/migrate MDM solutions in cloud environment
Conduct data management maturity assessments and identify pain points for capabilities, including data quality, governance, architecture, analytics, metadata management, master data management, etc. and build future state governance strategy and roadmap
Establish data governance capabilities, including ability to audit and to define data governance councils, business rules, and standards
Define information workflows and provide information maturity model assessments
Demonstrate a rigorous and analytical problem-solving approach, lead information gathering sessions, and prepare and deliver client presentations and work products/prototypes
Design business processes for managing Master Data throughout the data lifecycle, including data quality, metadata, and workflow technologies
Provide data and hierarchy design for the conceptual, logical and physical data model of the master, conditional, and reference data
Execute current state assessments, document business processes, and identify data quality KPIs
Architect Master Data solutions that integrate multiple systems and data through application consolidation / migration / conversion, application integration, and data integration
Four years of business, technology, or analytics strategy experience, preferably in a consulting environment
In-depth knowledge of data management/data governance concepts, approaches, and tools, and keen understanding of the role of data governance in successful implementation of data strategy
Strong written/oral communication and presentation skills and the ability to explain value of data management to both business and technical stakeholders
Ability to analyze complex environments, distill concepts and present to clients and strong interpersonal skills
Minimum of 3 years implementation experience with at least one of the following technologies: IBM InfoSphere Master Data Management Server, IBM InfoSphere Product Information Management, Infomatica MDM (formerly Siperian), SAP MDM 7.x, SAP MDG, Oracle Product Hub, Oracle Customer Hub, TIBCO Collaborative Information Manager, D&B Purisma
Functional design and delivery experience for Master Data domains in an MDM technology, such as SAP ECC, SAP MDM / MDG, Informatica MDM, etc. (domains can be Customer, Vendor, Material, Assets, etc.)
Strong project management and delivery experience leading large scale Information Management / Enterprise Data Management engagements through all phases of the project lifecycle including: requirements gathering, business case development, estimating, planning, application and architecture design, application and architecture development, and all phases of testing
Hands-on experience with self-service analytics
Enterprise taxonomy design

Data Management Consultant Resume Examples & Samples

Analyzes, develops specifications and executes allocation and other automated configurations
Collaborates with management, technical staff and subject matter advisors to understand business issues, troubleshoot problems and develop and recommend cost-effective data solutions for data anomalies
Ensures data integrity by developing and executing necessary processes and controls around the flow of data
Verifies accuracy of automation configurations. Test changes prior to deployment as appropriate
Leads or participates in financial system automation projects
Utilizes technology to analyze data and/or metrics from applicable systems to review data processes, identify issues, determine actions to resolve or escalate problems that require data, system or process improvements
Performs data related research and root cause analysis activities, provides correction specifications, and escalates issues as appropriate
Provides input to data architecture discussions and decisions on request
Solid communication, interpersonal and presentation skills to work effectively among all levels of internal/external partners/clients
Ability to multitask in a fast-paced dynamic workforce
Ability to drive projects from concept to deployment
Possesses some influence management skills
Skillful at learning new system applications/functions
Readily adapts to change
Relationships with business partners in IT, Finance, Actuarial and Data Stewards helpful in resolution of issue, root cause analysis, and driving result - oriented change
Typically a minimum of five to seven years of experience in data management, accounting, systems development, data analysis or systems/business analysis as required
Typically a minimum of three to five years of project management experience preferred
Advanced computing skills including, but not limited to: MS Office Suite, , PeopleSoft, and Business Objects. Basic SQL knowledge helpful, but not required
LI-MR1*TMJ-MR1

Data Management Consultant Resume Examples & Samples

Serve as a Data Management Consultant with demonstrated technical knowledge of databases, ERP systems, data migration processes, and data warehouses and reports
Analyze and manipulate unstructured financial, procurement, and asset management data
Identify data anomalies and issues in financial data and define approaches to correct errors through scripts, business process re-engineering, or other resolution activity
Contribute to developing a data hosting / staging model
Contribute to and execute the data management plan
Develop or review SQL scripts to transform data from the current system to the new system format
Participate and/or lead data working group sessions by planning, facilitating, and creating materials to timely accomplish activities
Support the financial system migration project by attending and contributing to Discovery and Configuration sessions identifying gaps between requirements and system capabilities
Contribute to and execute the data warehouse plan
Develop business intelligence reports using various tools as requested
Identify project risks and the need for configuration management, as needed
Participate in and provide recommendations for data cleanup, migration, quality, or migration activities
Ability to obtain/maintain a US Security Clearance - US Citizenship is Required
Bachelor of Science or Arts Degree in Accounting, Finance, Mathematics, or Management with 5+ years of experience
Ability to obtain a U.S. Secret level security clearance (requires US Citizenship)
Knowledge of system implementations and system development lifecycle including data migration
Advanced MS Excel and MS Access Skills
Knowledge and experience in writing or reviewing SQL scripts
Ability to analyze complex financial data sets, identify data anomalies and issues and define approaches to resolve discrepancies
Experience with business intelligence tools, i.e. DHS Analysis, Discoverer, and Oracle Business Intelligence for Enterprise Edition (OBIEE)
Ability to translate business requirements to technical solutions while identifying gaps
Detail oriented with the ability to multi-task across both business and technical deliverables
Possess knowledge of how data transposes through enterprise resource planning (ERP) systems to manipulate data into a structure that aligns to a new environment for system migration
Experience with ACL data analytics software
Experience with a shared service provider

Data Management & Architecture Senior Consultant Resume Examples & Samples

4+ years of relevant data management consulting: master data, data architecture, data governance and/or data quality
Knowledge of one or more of the DM&A MDM tools such as IBM MDM, Oracle MDM, Cloud MDM (ie: Reltio, TIBCO, Informatica)
Knowledge of one or more DM&A Metadata and/or Data Quality tools such as SAP Business Objects, Oracle DataHub tools, IBM WebSphere tools, Tibco, Kalido, Informatica, i2, SAS/DataFlux, Data Advantage Group / MetaCenter , Embarcadero Technologies, Global IDs / Metadata Crawler, Microsoft, Teradata, InfoLibrarian, LogicLibrary, and/or SchemaLogic
2+ years of experience leading workstreams with significant experience leading components of data management engagements and team sizes ranging from 3 to 10 resources
Bachelor’s Degree or equivalent professional experience

Master Data Management Consultant Resume Examples & Samples

Collaborate with business users and analyze user requirements
Collaborate in the creation/enhancement of data platform solutions (Data Marts, Cubes) to facilitate decision making
Collaborate with client DW/BI/Reporting team to standardize reporting and analytics implementation(s) across a variety of business teams/users/constituents
3-10+ years of experience, specializing in Master Data Management solution architecture, design, and development; consulting experience required
Technical Specialization in: SQL Server Analysis Services, SQL Server Reporting Services, SQL Server Integration Services, SQL Server MDM,Informatica MDM, DQS and other related technologies, SharePoint and SharePoint integration with PerformancePoint Services, PowerView and Reporting Services, PowerPivot
Familiarity with database centric applications, elegantly engineered data warehouse solutions
Architecture: How to define non-functional requirements and ensure they are achieved

Finance & Risk Data Management Consultant Innovation Center for Finance & Risk Resume Examples & Samples

Manage analysis data quality reporting and recommendations
Coordinate data lineage/mapping efforts with offshore teams and communicate progress to project managers
Prior experience should include
Dealing with large data sets, change initiatives, and capturing current state/target state design in functional and/or technical capacity
Extracting, aggregating and structuring large volumes of data in the context of analytics
Knowledge of risk data-related regulatory requirements and trends, such as Basel, BCBS239, CCAR
Demonstrated knowledge of Financial Risk Management concepts (Credit, Market, Liquidity)
Strong understanding of front, middle and back office operations
Familiarity with Risk Technology and Master Data Management Vendor
Strong understanding of Statistics
Solid project management experience including: defining scope, setting project timelines and milestone, driving deliverables, identifying risks, handling issues, project economics and client relationship management)
Demonstrated ability to clearly communicate with clients, lead key requirement workshops, document and understand requirements
Strong competence in developing presentations required (MS Office - Word, PowerPoint, Excel)
Minimum of a Bachelor's Degree in a quantitative discipline such as: Mathematics, Statistics, Econometrics, Economics, Engineering, Quantitative Finance or other quantitative discipline. An Advanced Degree in one or more of these disciplines is highly desirable
Prior experience in data lineage, data mapping, data engineering and/or data quality engagements is highly desirable
Prior experience in Data Governance engagements and knowledge of third-party data management tools a plus
Demonstrated ability to interface effectively with clients individually and as a member of an engagement team
Ability to work independently and lead multiple projects, assignments and/or responsibilities
Highly motivated and ability to thrive in a fast-paced, high energy and demanding team-oriented environment (both with clients and within the organization)
Demonstrated ability to work creatively and analytically in a problem-solving environment

Data Management Consultant Resume Examples & Samples

Help define a company in the vision and strategy definition for Data Management
Define the business use case and business case development for program/project implementation
Evaluate the clients’ IT landscape and help define the target architecture providing Data Management services
Define the solution architecture (including role of conventional data & information management platforms)
Delivery of end to end data management solutions (including Data Quality, Master Data, Data Governance, Data Architecture and Data Security solutions)
Addressing critical data issues and burning platforms in a broader context of analytical capabilities deployment, platform integration or rationalization, …
Understands multiple data modeling strategies (conceptual, logical, technical /relational, dimensional, data vault) and can articulate, to diverse audiences, the purpose and reason of various data modeling techniques
Hands-on experience with data management or data transformation tools, languages, or libraries
Hands-on experience in solving client challenges for master data management, data quality problems or complex data integration
Knowledge of data security practices and the latest evolutions in data privacy and personal data protection is an advantage
Detailed understanding of both the ‘traditional’ data context and the ‘new’ data possibilities with big data solutions
Must be proactive and be prepared to address meetings
Must show initiative and desire to learn business and technical subjects
Able to work independently and provide updates to management
Strong analytical and problem solving capabilities
Proven teamwork and communication skills
Bilingual: English and Dutch or French

Enterprise Data Incident Management Consultant Resume Examples & Samples

Experience in data incident management (Data Defects, Data Enhancements, Authorized Data Source Adoption Gaps, Undocumented Lineage, Data Dictionary Interpretation, Controls Gaps, Process Gaps (Operations), Production Issues, Data Breach etc. – Capital “I” incidents. Not just data quality)
Risk mindset with exposure to audit, regulators, operational risk, or compliance
Proven ability to lead by example with independent thought leadership
Solution oriented with ability to make assumptions and validate them through successful navigation of a matrixed environment (exercise influence)
Excellent oral/written communication and highly refined listening skills
Work independently as well as in a team environment
Prior QA experience highly preferred
Awareness/knowledge of Business Data Domains within the Bank of America
Experience writing and reviewing risk statements with quantification of impact
Data lineage and Control environment evaluation
Data governance and QA review

Enterprise Data Incident Management Senior Consultant Resume Examples & Samples

Experience defining metrics for focus of executive reporting
Ability to work in a very detailed manner as well as to look broadly across a population and develop connections and themes identifying risk and concerns
Foster collaborative relationships within and across business units
Analytical thinking skills
Self-motivated, operates with a sense of urgency and strong attention to detail
Strong time management and task prioritization skills
Own tasks from start through completion
Excellent interpersonal skills with organization and partnering skills
Broad knowledge of Bank of America Front Line Units, Control Functions, and products
Regulatory reporting, risk, compliance, or audit background helpful to evaluate risk and remediation
Data quality management and dashboard reporting
Metric definition and management in context of use for dashboard heatmap reporting
Prioritization, action planning, and risk acceptance justification
Stakeholder management and audience awareness for executive communications

Technical Data Management Workflow Consultant Resume Examples & Samples

Landmark workflow support and troubleshooting focusing on key TDM applications: OpenWorks, SeisWorks, Recall, PowerExplorer, CDS, WOW, & LogEdit
Integration linkage between OpenWorks with Petrel, ArcGIS, GeoSigns/nDI (Shell proprietary)
End-user workflow support, training, and mentoring
A four year BS degree in a Subsurface Discipline (ie: Geoscience, Geophysics, Computer Science/IT) is strongly preferred
5 years’ of Technical Data Management Petroleum Experience, including experience with the following
Data Quality Management

Senior Data Management Technical Consultant Resume Examples & Samples

SAS Data Integration Studio 4.2+
Understanding of of SAS Architecture: SAS Platform Administration
Excellent Base SAS and SAS Marco programming
Understanding of Project Planning and estimation (DM components fitting within broader solutions)

Senior Consultant Data Management Resume Examples & Samples

Gain buy in on the foundational concept from internal and external partners from all three lines of defense (including external audit)
Work cross organizationally to drive consensus on data quality dimensions and standardized tests
Establish on going governance for maintaining consensus and test usage
Coordinate the collection of large volumes of test results and normalize/standardize for common comparison
Mine existing test results to identify unmapped coverage from EIT (or potentially FLU/CF SIT and UAT) testing
Determine appropriate and defendable conclusions for test efforts based on test type, sampling and scope
Create consolidated coverage map that is maintainable, scalable and consumable(with the ability to report off it at a variety of levels)
Coordinate with Domain Governance and EDIM teams to provide inputs into their respective processes
Coordinate with EDMG test teams as a risk/trigger input for testing efforts
Contribute to defining the domain test model
10+ Years in Application or Data Management
10+ Years of test management experience (focus on sampling, test objectives/ conclusions, test results interpretation, etc)
Proven track record of establishing and leading organizations or significant Enterprise Programs/ Processes
Significant experience as part of an Audit organization or a deep history of interactions with Audit (Internal and External)
Strong data quality knowledge (Accuracy, completeness, timeliness dimensions, data risk mitigation, etc)
Strong analytical skills including excel skills (vlookup, pivot and other excel analytics features) and SQL
Strong Verbal/ Written communication and executive presence
Strong Project Planning/Management
Bank Domain Knowledge
Strong understanding of database concepts like (views, primary keys, table joins)
Technical: ETL, DB development, SQL, Teradata, Quality Center, Macros, Excel/Access, PowerPoint, Perforce
Process development
Familiarity with Data Related Laws, Rules, Regulations
Test Automation Understanding and Experience