Chief Data Office - Reference Data Product Manager - Vice President

Promote strategic initiatives in corporate and investment banking, boosting innovation, efficiency, and delivering exceptional client outcomes.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As a Reference Data Product Manager, you will own a product domain or portfolio of initiatives, managing the roadmap and backlog against business value, regulatory commitments, data quality, risk, and platform strategy.

Job Responsibilities

• Own a product domain or portfolio of initiatives, managing the roadmap and backlog against business value, regulatory commitments, data quality, risk, and platform strategy.
• Lead discovery and business analysis, translating stakeholder needs into requirements, user stories, acceptance criteria, and measurable outcomes.
• Partner with Technology, Operations, data consumers, and control partners to design solutions that balance business value, delivery speed, resilience, and controls.
• Use data analysis to assess business impact, downstream dependencies, operational changes, and solution risks.
• Lead Agile delivery from planning through testing, release, adoption, and post-release validation, managing milestones, risks, issues, and dependencies.
• Use firm-approved AI tools to accelerate analysis, requirements, documentation, prototyping, and stakeholder communications while maintaining appropriate controls and judgment.
• Provide product expertise and direction to delivery partners and stakeholders, strengthening product discipline across the team.

Required Qualifications, Skills and Capabilities

• 10+ years of experience in product management, product ownership, business analysis, data products, or technology delivery.
• 5+ years of experience in financial services, data management, operations, regulatory delivery, or a related technology-facing environment.
• Strong product management and business analysis skills, including problem framing, requirements, process mapping, data analysis, solution design, and prioritization.
• Ability to influence cross-functional stakeholders, resolve competing priorities, and communicate trade-offs and recommendations to senior audiences.
• Sound judgment, attention to detail, and the ability to translate ambiguity into delivery plans and independently drive complex initiatives to completion.
• Practical experience using firm-approved AI tools to improve analysis, documentation, communication, and product delivery.

Preferred Qualifications

• Experience with reference data platforms, client or party data, governance, data quality, lineage, controls, or downstream data consumption.
• Experience delivering regulatory, compliance, risk, audit, or control-driven initiatives.
• Strong project management skills, including planning, milestone tracking, risk and dependency management, and stakeholder reporting.

Experience managing and developing people through objective setting, coaching, feedback, and career development.