b Overview /b p 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. /p b Responsibilities /b ul li Own end-to-end delivery for a critical data domain from intake to outcomes aligned with business value /li li Lead governance, domain boundaries, downstream consumption, retention/destruction, and AI readiness /li li Translate complex needs into clear product direction with measurable success metrics and user journeys /li li Design and drive a modernization roadmap for data platform, quality tooling, metadata/lineage, and scalable processes /li li Identify and implement AI opportunities to improve processing and data quality while ensuring safety and governance /li li Coordinate with cross-functional partners across Business, Operations, Technology, and Controls to remove blockers and accelerate delivery /li li Manage dependencies and sequencing across teams to ensure predictable, high-quality outcomes /li li Establish and monitor delivery and outcome metrics (quality, timeliness, adoption, STP lift, defect reduction, cycle time) to refine the roadmap /li /ul b Key requirements /b ul li Proven track record in data management (system-of-record, lineage, metadata, data quality, controls, stewardship, lifecycle management) /li li At least 10 years of Financial Services experience with data, technology, and operations blended with Asset Wealth Management concepts /li li Delivered in agile environments with backlog discipline and outcome-based execution /li li Comfortable with SQL and/or Python for validating hypotheses and collaborating with engineering/analytics /li li Practical fluency with AI and Agentic AI for data products (automation, anomaly detection, data-issue triage, metadata enrichment, workflow orchestration) /li li Ability to evaluate AI in terms of value, risk, scalability, control points, and production readiness /li li Strong influence and communication skills for governance forums and senior leadership /li /ul ul li influencing across stakeholders /li li strong written and verbal communication /li li ambition to operate in ambiguity with agile judgment /li li SQL /li li Python /li li AI tooling and Agentic AI concepts /li /ul
Asset Management - Data Owner - Vice President employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
