Asset Management - Data Owner - Vice President

You own the product vision and execution for a mission-critical data product, including data services powering client reporting, operations, and investment processes. You push AI-enabled automation and modern data quality, delivering durable products in a fast-paced environment. You will shape the data platform roadmap and collaborate across teams to drive adoption and impact, with a front-row seat to AI reshaping enterprise data.

• Own end-to-end delivery for a critical data domain from intake to outcomes aligned with business value
• Lead governance, domain boundaries, downstream consumption, retention/destruction, and AI readiness
• Translate complex needs into clear product direction with measurable success metrics and user journeys
• Design and drive a modernization roadmap for data platform, quality tooling, metadata/lineage, and scalable processes
• Identify and implement AI opportunities to improve processing and data quality while ensuring safety and governance
• Coordinate with cross-functional partners across Business, Operations, Technology, and Controls to remove blockers and accelerate delivery
• Manage dependencies and sequencing across teams to ensure predictable, high-quality outcomes
• Establish and monitor delivery and outcome metrics (quality, timeliness, adoption, STP lift, defect reduction, cycle time) to refine the roadmap

• Proven track record in data management (system-of-record, lineage, metadata, data quality, controls, stewardship, lifecycle management)
• At least 10 years of Financial Services experience with data, technology, and operations blended with Asset & Wealth Management concepts
• Delivered in agile environments with backlog discipline and outcome-based execution
• Comfortable with SQL and/or Python for validating hypotheses and collaborating with engineering/analytics
• Practical fluency with AI and Agentic AI for data products (automation, anomaly detection, data-issue triage, metadata enrichment, workflow orchestration)
• Ability to evaluate AI in terms of value, risk, scalability, control points, and production readiness
• Strong influence and communication skills for governance forums and senior leadership

• influencing across stakeholders
• strong written and verbal communication
• ambition to operate in ambiguity with agile judgment
• SQL
• Python
• AI tooling and Agentic AI concepts