Data Quality Lead Job Description
Data Quality Lead Duties & Responsibilities
To write an effective data quality lead job description, begin by listing detailed duties, responsibilities and expectations. We have included data quality lead job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Quality Lead Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Quality Lead
List any licenses or certifications required by the position: ITIL, ISACA, CISSP, CCNE, MCSE, MCD, TQM, AWS, PMP
Education for Data Quality Lead
Typically a job would require a certain level of education.
Employers hiring for the data quality lead job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Business, Science, Management, Engineering, Education, Technical, Finance, Graduate, Statistics
Skills for Data Quality Lead
Desired skills for data quality lead include:
Desired experience for data quality lead includes:
Data Quality Lead Examples
Data Quality Lead Job Description
- Drive the overall data quality function of the Global Commercial KPI program to include data profiling, data cleansing, and data enrichment of data required to support the programs goals
- Leverages intermediate data management knowledge to maintain and define data quality and metadata processes, participates in development of data quality rules, thresholds, and standard metrics/quality-expectations for data elements that support critical business processes
- Coordinate with global and regional data stewards, business analysts and business SMEs and data owners to define, develop, and maintain data quality rules and metadata
- Coordinate and collaborate with the Enterprise Data COE Data Quality function to ensure business unit alignment to enterprise data quality program goals
- Works with Enterprise Data Stewards and Councils to define data quality standards and metrics in order to drive continuous improvement Data Asset Value (DAV)
- Co-Lead implementation of active data governance and data quality system controls together with Enterprise Data Governance and Stewardship leads
- Incorporate an automated DQ capability combined with our data platforms, starting with master data management
- Deliver DQ solutions and capabilities to data stewards, including DQ dashboards to measure their business-critical data
- Assist in the definition of governance structure, policies, processes and metrics to improve and maintain the quality and ownership of data (including data owners, stewards and administrators)
- Provide recommendations and best practices for data element, data definitions, business rule writing, and metadata management procedures
- Create automation processes and tools to test multiple areas of our Analytics pipelines
- Proven experience testing complex Analytics and Data Collection pipelines
- Experience with testing web/distributed applications
- Strong passion for automating anything that resembles a checklist
- Experience with Kafka is a plus
- Experience testing systems running in AWS is a plus
Data Quality Lead Job Description
- Leverages intermediate knowledge to implement controls to mitigate data quality risks including monitoring data quality results, reports and dashboards
- Tracking data cleansing processes and assist with training and escalation as necessary to ensure the business is cleansing data in alignment with the programs Agile wave releases
- Data quality subject matter expert (SME), providing quality monitoring and audit support for Enterprise Data Governance Leads
- Responsible for defining and documenting Quality rules for data classification and registration for both structured and unstructured data
- Closely partner with extended RCMO, Capital Data Middle Office, Regulatory Policy & Oversight, Credit Executives, Capital CDO, Technology Teams, Lines of Business and Risk to deliver data quality projects
- Establish clear ownership and accountability for data analytics at an individual level supported by a clearly defined forum for ongoing governance
- Drive the Data Quality Issues root case analysis through using a framework and identification of the SMEs in the many different functions to drive firmwide strategic solutions and timely remediation
- Report key data quality metrics to EIM stakeholders
- Define and implement metadata, ontology, taxonomy standards for structured and unstructured data
- Leads effort for assessment of a Data Governance Workflow Tool/Proof of Concept(POC)
- Experience with EMR and RedShift is a strong plus
- Experience in using vendor DQ tools
- Capacity to think strategically
- Experience working in MDM, CRM, Data Warehousing and analytics information domains
- Previous experience in a financial services context, specifically insurance and wealth management advantageous
- Relevant Business or IT degree or qualification
Data Quality Lead Job Description
- Develop and enhance the Data Control Framework and Development Guide along with the communicating and knowledge transfers of the material across the Commercial Data Development Teams
- Lead the definition, design development of the Data Steward UX integrating with the current set of Data and UX tools
- Data Sprint and Data SWOT
- Provides recommendations to the Data owners, Entity Domain Councils and MDM Centers of Excellence
- Makes system control and solution recommendations to increase efficiencies and streamline data management processes
- Responsible for communicating changes to systems and data models
- The role will require close collaboration with other business units to ensure an understanding of key drivers for data governance capabilities
- Assemble and motivate a team of data quality practitioners as direct and indirect reports
- Create a road map to drive DQ and data management maturity by deploying enterprise DQ services and methodologies
- Lead the effort to create a DQ continuous improvement culture among the data stewards
- APRA CPG 235 desirable
- Any Lean Six Sigma or Six Sigma qualification desirable
- Strong understanding of Relational Databases, Data Warehouses, SQL, Scripting (Shell/Pearl)
- Defines and implements changes to the Enterprise Information Model and ensures projects are executed accordingly
- Establish, communicate, and lead the adoption of DQ standards and best practices across the enterprise, influencing peers to adopt programs and projects to achieve efficiencies
- Works with both business and IT functions to perform root cause analysis and issue mitigation
Data Quality Lead Job Description
- Recommends solutions that require definition of the physical structure and functional capabilities of databases and required data security and data backup/recovery specifications
- Direct data quality analysis and remediation of partner-facing issues to ensure complete, correct and timely partner data processing from input systems to BRM to EDW to MDB
- Work with business stakeholders, application developers, Revenue Assurance, Business Intelligence, Listener Care and Marketing teams to identify potential data anomalies, revenue and/or service leaks and at-risk processes and design the data quality audits and controls to detect and/or prevent them
- Lead data quality assurance through KPI, routine check-ups of pre-existing data fixes and audit reports
- Track stakeholder sign-off of the duplicate identification logic and escalate to the External Parties Data Domain Manager, if necessary
- Own development and execution of a portfolio of Quality data initiatives while leading cross-functional working teams
- Report key data quality metrics to enterprise stakeholders
- Provides recommendations to the Data owners, Entity Domain Councils and Centers of Excellence
- Manager to lead data quality program for the Capital Domain
- Provide governance and management across risk stripes to help support data quality for multiple products within finance
- Demonstrated ability and experience in negotiation, facilitation and consensus-building across heterogeneous teams
- A general understanding of the metadata requirements for analysis results and for datasets
- Ability to collaborate cross-functionally and within Enterprise Data Stewardship to drive forward compliance with standards, processes and training
- Experience as project lead or project manager is a must as this position will require the MDM Capability Lead to drive multiple simultaneous projects involving both IT and business functions
- Ability to develop and maintain strong working relationships with key business stakeholders
- Demonstrated ability to manage others in sometimes when dealing with often abstract problems across business groups
Data Quality Lead Job Description
- Develop DQ Visualizations using Big Data Tools and Techniques
- Work closely with Data Analyst, Architects to achieve DQ objectives
- Collaborate with the Data Delivery technology teams and architects to define and develop solutions
- Gather business requirements for building of the Data Quality Dashboard that will include the full set of functionality from exception identification to remediation
- Lead data quality analysis and remediation of customer-facing issues in the BRM system related to billing, collections, revenue assurance and other similar tasks
- Formulate and actively develop test cases, test scripts, and output report specifications for data remediation projects
- Maintain up to date documentation for the Data quality audits and processes
- Partner with software development product teams to implement quality initiatives and best practices within the Data Protection Division (DPD) and the Infrastructure Solutions Group
- Coordinate with business process stakeholders to ensure that the proper business context and impact are considered in both business entity (ex
- Coordinate on road map for duplicate record remediation
- Ability to think in an ENTERPRISE rather than a siloed or business unit focused fashion
- Must be proficient in the use of personal computers and supporting software in a Windows based environment, including MS Office products (Word, Excel, PowerPoint)
- Must be client service focused with effective ability to empathize
- Proven analytical, research and problem solving skills a must
- Must demonstrate the ability to learn quickly and apply learning to new situations
- Exhibits an energetic, inquisitive, positive approach to problem solving