Product Delivery Associate – Data Products & Analytics

Overview

In this role you help turn ideas into usable products within a corporate finance context, driving end-to-end delivery and releasing features while navigating complex dependencies. You will work across functions to ensure timely value delivery and support growth in your career through hands-on learning. You’ll engage with data teams to operationalize products, manage risks, and enable AI-enabled analytics capabilities that enhance decision-making. This position combines delivery discipline with stakeholder collaboration to shape scalable data products.

Responsibilities

• 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

Key requirements

• 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

• Clear written communication of requirements
• Cross-functional collaboration
• Problem solving and stakeholder management
• SQL
• Python
• Databricks Genie

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