Data Quality Lead - AVP

Data team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support:

• Regulatory Support : Execution of business data quality measurements as per regulatory programs like CCAR, AML etc
• Metrics Design : Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules
• Data Governance : Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions.
• DQ Score cards : Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management
• Issue Management : Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA
• Audit Support : Identifying cases on control gaps, policy breaches and providing data evidence for audit completion

Expertise Required:

Analytical / Project management Skills

• Liaison with Business, Operations and Technology stakeholders to identify critical data elements, define data quality rules, and implement data quality measurement and monitoring
• Implement data quality issue management and resolution processes to ensure data quality issues are identified, prioritized and remediated effectively
• Lead efforts to implement or modify necessary policies, procedures and system enhancements to fill current and future Data Governance Gaps
• Directly manage team of DQ analysts and involve very closely in day to day work.
• Help team members in understanding requirements for all DQ profiling/ ad-hoc requests and provide required support to build logic for the same.
• Provide all the support to Data Governance/Data Stewards including Partner / stakeholder management, expectations settings with partners, prioritization of work to team members, and act as Data and functional SME.
• Develop and maintain project management trackers and provide regular updates to managers, senior leadership team and stakeholders.
• Design, Implement and enforce strong processes and framework to efficiently manage end to end Data Quality engagement. Also, support and help team in process re-engineering, optimization and automation.
• Ensuring required controls, checks, governance, process documentation is always upto date and maintained regularly.
• Having productive team meetings, 1-on-1 meetings regularly with all team members.
• Understand concerns, challenges and roadblocks team is facing and provide them all the required support to overcome the same.
• Proficient in formulating analytical methodology, identifying inconsistencies, anomalies & patterns with data
• Generate actionable Business Insights
• Demonstrated ability to identify and leverage AI for process optimization, leading to significant efficiency gains and cost savings.
• Experience with Natural Language Processing (NLP) techniques for analyzing unstructured data to derive qualitative insights.
• Skill in evaluating and recommending AI technologies to enhance data quality, governance, and overall data strategy.

 (Preferred) -

Tools and Platforms      

• Proficient in SAS, SQL, Teradata
• Proficient in MS Excel, PowerPoint  

Domain Skills

Good understanding of

• Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.)
• Audit Framework
• Data quality framework
• Risk & control Metrics

 (Preferred) - Knowledge of Finance Regulations, Understanding of Audit Process

Nice to Have Skills:

• Exposure to BI tools and technologies – example: Tableau or Cognos or SAS BI etc.
• Automation and process re-engineering / optimization skills

Soft Skills

• Ability to identify, clearly articulate and solve complex business problems and present them to the senior management or partners in a structured and simpler form
• Should have excellent communication and inter-personal skills
• Good process/project management skills
• Mentoring junior members in the team
• Ability to work well across multiple functional areas
• Ability to thrive in a dynamic and fast-paced environment
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
• Proactive approach in solving problems and eye for details
• A strong team player

Educational and Experience:

• MBA / Masters Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications
• (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
• 10+ years of hands on experience in people management, delivering data quality, MIS, data management with at least 2-3 years’ experience in Banking Industry