VP Data Product Owner: AI-Driven Asset Management

Aumni; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

J.P. Morgan is seeking a data owner to drive the vision and execution for a mission-critical data product powering client reporting, operational workflows, and investment processes.

You will shape governance, AI readiness, data quality, and platform modernization while collaborating with Business, Operations, Technology, and Controls to deliver measurable value. This role requires deep data management expertise, executive communication, and a pragmatic, outcome-focused approach across a complex

Qualifications

• Proven track record in data management: system-of-record, lineage, metadata, data quality, controls, stewardship, and lifecycle management.
• At least 10 years of Financial Services experience, with data, technology and operations experience blended with knowledge of Asset & Wealth Management data concepts
• Delivered in agile environments with real backlog discipline, pragmatic scope control, and outcome-based execution
• Comfortable with SQL and/or Python, navigating large datasets to validate hypotheses, investigate issues, and partner credibly with engineering and analytics
• Practical fluency with AI and Agentic AI for data products: automated reconciliations, anomaly detection, data-issue triage, metadata enrichment, exception handling, and workflow orchestration
• Able to evaluate AI honestly — value, risk, scalability, control points, operational readiness — and turn experimentation into production outcomes
• Influence stakeholders at every level, aligning diverse groups around clear priorities and standards
• Excellent written and verbal communication, including materials sharp enough for governance forums and senior leadership.

Responsibilities

• Own delivery end-to-end for a critical data domain—intake through outcomes—ensuring delivery aligns to business priorities and measurable client/user value.
• Run the full data ownership agenda: governance and controls, domain boundaries, downstream consumption from systems-of-record, retention & destruction and AI readiness.
• Translate complex needs into crisp product direction: define problem statements, use cases, success metrics, user journeys, and acceptance criteria that enable delivery teams to move quickly without losing rigor.
• Design and drive a modernization roadmap spanning data platform evolution, quality tooling, metadata/lineage enablement, and scalable operational processes.
• Identify and implement AI opportunities increasing straight-through processing, and improving data quality—while ensuring solutions are safe, explainable, and governable.
• Drive execution with cross-functional partners across Business, Operations, Technology, and Controls—removing blockers, establishing operating models, clarifying decisions, and accelerating delivery.
• Manage dependencies and sequencing across teams, platforms, and release trains to ensure predictable, high-quality outcomes.
• Measure what matters: establish and maintain delivery and outcome metrics (quality, timeliness, adoption, STP lift, defect reduction, cycle time) and use them to refine the roadmap.

Skills

Data governance

Data management

Agile execution

SQL

Python

AI / Agentic AI

Stakeholder influence

Communication

Tools

VS Code

GitHub Copilot

Data quality tooling

Metadata platforms

Lineage frameworks

Job description

J.P. Morgan is seeking a data owner to drive the vision and execution for a mission-critical data product powering client reporting, operational workflows, and investment processes.

You will shape governance, AI readiness, data quality, and platform modernization while collaborating with Business, Operations, Technology, and Controls to deliver measurable value. This role requires deep data management expertise, executive communication, and a pragmatic, outcome-focused approach across a complex