Data Governance Product Senior Product Associate - Consumer Community Banking

Job Responsibilities

• Pairs with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
• 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.
• Engages users and stakeholders (with guidance as needed) to understand needs, pain points, and workflows; translates insights into user-centric experiences and measurable outcomes.
• Supports market/competitive research to identify opportunities and threats; contributes to product positioning and value propositions for data governance capabilities.
• Contributes customer, market, and performance insights to area-product objectives/OKRs; supports roadmap/backlog prioritization aligned to business goals.
• Helps identify and prioritize use cases; drafts requirements for assigned scope (PRDs/epics/stories, user journeys, acceptance criteria); supports refinement, prioritization, and dependency coordination with partner teams.
• Partners with engineering/design to support end-to-end delivery (planning, testing/UAT support, release readiness, post-launch feedback loops) and continuous improvement based on outcomes.
• Supports alignment to governance and control expectations (policy alignment, auditability, documentation, resiliency/stability) in partnership with risk/control stakeholders.
• Supports communications, demos, and training artifacts; helps drive adoption and stakeholder advocacy across a matrixed environment (including migration/change activities as needed).

Required Qualifications, Capabilities, And Skills

• 3+ years of experience or equivalent expertise in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle.
• Experience in product life cycle activities including discovery and requirements definition.
• Developing knowledge of data analytics and data literacy.
• 3+ years in product management or equivalent experience delivering technology products in an Agile environment, including requirements definition, backlog refinement, and delivery support across the product lifecycle.
• Demonstrated experience supporting structured discovery (interviews/workshops, process mapping, journey definition) and translating findings into epics/user stories, acceptance criteria, and release-ready documentation.
• Experience supporting data governance and/or data platform capabilities (e.g., metadata management, access/policy workflows, stewardship processes, data quality/lineage concepts) across modern platforms (such as Snowflake, Databricks, and AWS).
• Proficiency in product framing and documentation (Word, PowerPoint, Confluence); proven ability to collaborate with engineering teams on solution design and delivery execution; solid working knowledge of analysis tools such as Excel and SQL.
• Able to use qualitative and quantitative inputs to support prioritization and measurement (KPI/OKR support, usage/adoption analytics, cycle-time or workflow metrics).
• Strong written and verbal communication skills; ability to facilitate working sessions, coordinate across teams, and manage stakeholder expectations through ambiguity with appropriate coaching.

Preferred Qualifications, Capabilities, And Skills

• Bachelor's degree or equivalent relevant professional experience (preferred fields include product management, information systems, computer science, or data analytics).
• Experience working in financial services or similarly regulated environments with awareness of risk/control, privacy, and audit considerations.
• Exposure to voice-of-customer methods and product analytics; experience supporting enablement (comms, training, migrations/rollouts).
• CDMP (or similar) and/or exposure to industry-standard data governance/data management tools; interest in learning vendor vs. build evaluation approaches.