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Job Description

Description :


RESPONSIBILITIES :


Product Strategy & Roadmap :


- Define and own the product vision and roadmap for AI-enabled metadata management under the CDOs enterprise data strategy.


- Align metadata initiatives with CDO objectives : data quality, governance, lineage, regulatory compliance, and data democratization.


- Prioritize features that enhance transparency of Critical Data Elements (CDEs) and Critical Risk Measures (CRMs) across risk and finance reporting.


Functional Leadership :


- Translate business and regulatory requirements into functional specifications for metadata platforms and AI-driven solutions.


- Define use cases for AI/ML (e.g., Business term to Physical mapping, automated lineage, duplicate detection) in metadata management.


- Partner with Business and function team to define standards for metadata capture and enrichment.


Stakeholder Engagement :


- Serve as the CDOs point of contact for metadata management with senior stakeholders across the three lines of defense.


- Facilitate workshops to capture regulatory-driven requirements (e.g., BCBS 239 lineage, ownership traceability).


- Promote adoption of metadata practices across business lines, ensuring consistent governance and accountability.


Qualifications :


- Education Bachelors degree in Business, Risk, Finance, Information Systems, or related field (Masters preferred).


- Certifications Project Management accreditation i.e.- PMI / PMP/ PgMP/ PfMP (AE / HM to update required certification).


- Experience Overall 10+ years with 7+ years in metadata management, data governance, or risk data aggregation in banking or financial services.


- Experience as a Product Owner, Business Analyst, or Data Governance Lead within a Chief Data Office or equivalent function.


Role Specific Technical Competencies :


- Project Management


- Metadata Management Fundamentals


- AI-Enabled Metadata Capabilities


- Risk & Issue Management


- Agile Product Delivery


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