Vice President Product Manager, Consumer Community Banking Data & Analytics, Data Management

What you'll do

• Develop a product strategy and vision for data management capabilities that align with enterprise standards.
• Conduct market research and discovery efforts to identify customer data needs for the product roadmap.
• Own and maintain the product backlog to support the strategic roadmap and value proposition.
• Establish and track key success metrics including cost, data quality, risk posture, and reliability.
• Partner with engineering and governance teams to meet regulatory, privacy, and metadata requirements.
• Define the product strategy for agentic AI capabilities to automate data discovery and governance workflows.
• Operationalize LLM-based features with AI engineering while establishing guardrails for accuracy and explainability.
• Define success metrics for agentic features such as task automation rates and agent accuracy.

What we're looking for

• 5+ years of experience or equivalent expertise in product management or a relevant domain area.
• Advanced knowledge of the product development life cycle, design, and data analytics.
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
• Working knowledge of data management disciplines such as data governance, metadata, data cataloging, lineage, or data quality.
• Familiarity with generative AI and agentic AI concepts including LLMs, RAG, prompt design, tool-calling, and multi-agent orchestration.
• Experience shipping AI-powered or agent-driven product features, including evaluation, guardrails, and responsible AI considerations.
• Understanding of how agents consume metadata, lineage, and data catalogs to reason over enterprise data.
• Demonstrated prior experience working in a highly matrixed, complex organization (preferred).
• Familiarity with data platforms, cataloging tools, or data governance frameworks (preferred).