Product Delivery Associate - Data Products & Analytics
Product, Data Science · Full-time
London, UK · bournemouth, uk
- Support end-to-end delivery processes: intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting; identify and drive efficiency opportunities.
- Contribute to change management across functional partners; document adherence to firm risk, controls, compliance, and regulatory requirements.
- Document blockers and impediments to support dependency management and resource availability planning.
- Partner with the Product Delivery Manager to engage stakeholders and cross-functional teams to manage dependencies and timelines.
- Document transformation requirements and support enhanced data-product designs.
- Identify opportunities to centralize business logic (shared, reusable calculation rules) across data products.
- Support development of report-focused views and semantic layers (business-friendly data models) to improve consumption and reduce duplication.
- Support launch and adoption of AI-enabled analytics tooling (e.g., Databricks Genie and other prompt-based AI-assisted analytics), including user enablement, curated data rooms, training coordination, and optimizing data views for AI tools.
- Review and triage incoming feature requests and new demand; clarify requirements and route work to the appropriate product and technology partners.
- Maintain and prioritize Jira items with Associate Product Owners and technology teams; assess readiness and sequencing; run and document Agile ceremonies (discovery, sprint planning, sprint review).
- Troubleshoot user inquiries and provide first-line support to data-product users; capture requirement gaps; review draft data contracts for completeness/fit; test enhancements and advise on end-user reporting queries to encourage reuse of centralized logic.
- A Bachelor’s degree in Computer Science, IT, Business, Finance, Data Analytics, or a related field, or equivalent experience in product management, project management, or a relevant domain area
- Demonstrated experience or equivalent expertise in product management, project management, or a relevant domain area
- Exposure to operational management and change readiness workstreams
- Experience in data management, analytics, or product delivery.
- Ability to elicit and write up requirements clearly enough for a developer to build from.
- Comfort working with large data sets, including checking data quality and supporting testing.
- Working familiarity with SQL, Python, or a similar data-analysis language.
- Ability to explain technical topics to non-technical people.
- Experience with Finance and Business Management processes that support technology teams.
- Hands-on use of BI or analytics tools such as Alteryx, Tableau, Databricks, or Sigma.
- Exposure to Agile delivery and Jira-based routines.
- Experience supporting data-product users through triage, guidance, or training.
- Exposure to data contracts, semantic-layer design, or downstream reporting transformation.
- Interest in AI-enabled data consumption, such as prompt-based analytics or curated data rooms.
- Knowledge of cloud-based data or lakehouse platforms such as Databricks.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Promote data product strategy, elevate reporting, and build smart solutions that deliver scalable, consistent, customer focused insights.


