Head - Data Product Management

Key Responsibilities

 1. Data Ownership & Accountability

• Provide end-to-end ownership of third-party reference data products and associated Critical Data Elements (CDEs).
• Ensure data quality, integrity, and governance standards are consistently met.
• Drive sustainable operating models with strong service delivery and efficiency.

2. Data Product strategy & roadmap

• Define and own the data product strategy, vision, and multi-year roadmap aligned with business priorities and regulatory commitments.
• Prioritize initiatives based on value realization, risk reduction, and regulatory impact.

3. Data Governance & CDE Management

• Establish and maintain governance frameworks for CDEs in line with enterprise data policies.
• Lead implementation of data governance practices across the full data lifecycle.
• Leverage tools such as Collibra to enable transparency, lineage, and control.

4. Data Quality, KPI & Risk Management

• Define and monitor KPIs and KRIs to proactively manage data quality and associated risks.
• Implement robust controls to mitigate risks related to third-party data usage.
• Define and track business value KPIs (e.g., reduction in data incidents, improved reporting accuracy, faster onboarding).

5. Stakeholder Engagement & Advisory

·Establish and lead working groups, and operational committee reporting.

·Define operating model across global teams, BUs, and support units.

• Partner with Business Units (BUs), PCRUs, RISQ, GCOO/DMO, and other stakeholders to ensure effective data product delivery.
• Act as a trusted advisor, providing recommendations to improve data quality and ensure regulatory compliance.
• Promote appropriate and consistent use of third-party data across the organization.

6. Process Improvement & Automation

• Identify optimization opportunities across the data lifecycle and implement enhanced controls.
• Drive automation initiatives to improve efficiency, scalability, and accuracy.
• Support onboarding and integration of enterprise platforms (e.g., TRUST, Collibra) aligned with architecture standards.

7. Market & Regulatory Alignment

• Monitor evolving regulatory requirements (e.g., BCBS 239, Basel standards) and industry practices.
• Ensure data products comply with applicable regulatory expectations and internal policies.

8. Leadership & Team Development

• Lead, mentor, and develop a high-performing data product management team.
• Foster a culture of collaboration, innovation, and continuous improvement.
• Drive engagement and capability building within the team.

9. Operational Excellence & Transformation

• Drive delivery excellence, cost optimization, and process transformation initiatives.
• Oversee department performance with a focus on continuous improvement and value realization.

Required Expertise

• Strong experience in Data Product Management, Data Governance, and Third-Party Data Management
• Deep understanding of financial, risk (RISQ), and regulatory data environments
• Proven leadership experience managing global teams and senior stakeholders
• Hands-on expertise with Collibra and enterprise data platforms
• Strong analytical, problem-solving, and decision-making capabilities
• Demonstrated ability to drive automation, transformation, and operational efficiency initiatives