Senior Product Associate - Data Management & Data Governance — Data & Analytics Agent Platform

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. Build and scale agentic workflows on the Data & Analytics Agent Platform, composing agents on top of existing platform APIs and driving the creation of new APIs with platform teams where capability gaps exist. The role is hands-on and delivery-led: translating data management and data governance processes into working agents, tools, and orchestrations rather than documentation. Data management and governance expertise is applied as domain knowledge that shapes what gets built the primary measure of success is agents in production that materially reduce manual effort. Act as the single accountable owner for data management and data governance across the Data & Analytics Agent. As a Senior Product Associate in Data and Analytics Team, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. Builder's instinct with a strong bias to shipping; pragmatic judgement on where agents add value and where deterministic automation is the better answer; clear technical writing for both engineering and control audiences; resilience in ambiguity as the technology and the platform evolve; collaborative influence without direct authority. Success Measures (first 12 months), A defined portfolio of agentic workflows delivered to production, with measured reduction in manual governance effort. Reusable agent patterns and tool library adopted by at least one team beyond your own. New or extended platform APIs delivered jointly with platform teams, unblocking previously infeasible workflows. Evaluation and monitoring in place for every production agent, with published reliability baselines and trends. No material data, privacy, or access incidents attributable to agents you built; governance approvals obtained without extended remediation cycles.

Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery Considers and plans for upstream and downstream implications of new product features on the overall product experience Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle Writes the requirements, epics, and user stories to support product development Serve as the DMDG platform's primary person to work on the Data & Analytics Agentic Platform. Be part of the team to design, build, test, and ship agentic workflows that automate data management and governance activities metadata capture, classification, lineage reconstruction, access-request triage, data quality triage, issue routing, control evidence collection, and policy question answering. Decompose multi-step governance processes into agent-executable task graphs: tool selection, prompt and instruction design, context and retrieval strategy, memory, deterministic versus LLM step boundaries, human-in-the-loop checkpoints, and fallback behavior. Own the full agent lifecycle: prototype, evaluate, harden, release, monitor, and iterate. Define evaluation sets and quality baselines before scaling, and instrument agents for cost, latency, accuracy, and intervention rate. Build reusable patterns, tool libraries, and reference implementations so other teams can compose