Unstructured Data Management - Product, Executive Director

Embrace the challenge of adapting to shifting priorities and resources while contributing to a dynamic team and applying your expertise, strategic thinking skills, and operational excellence across product lines.

As a Product Director in Consumer & Community Bank Data & Analytics Product team, you will drive the strategy and execution of enterprise capabilities that ingest, govern, enrich, index, retrieve, and activate unstructured content (e.g., documents, emails, chats, PDFs, transcripts, images, audio) using modern techniques.

You will partner closely with engineering, data science, design, risk/compliance, and business stakeholders to deliver scalable, secure, and compliant solutions across the full product development life cycle.

As a leader on the team, you challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that inspires cross-functional teams to create solutions that address customer needs.

The Data & Analytics Product team is responsible for providing the core technical capabilities and strategies for data producers, consumers, and governors to leverage data.

Job responsibilities



* Own the product vision, roadmap, and execution for unstructured data capabilities, including content onboarding, metadata strategy, enrichment, indexing, retrieval, and downstream consumption (analytics, search, RAG, agents).


* Lead unstructured data platform strategy across the lifecycle: acquisition/ingestion, classification, extraction, normalization, entity resolution, taxonomy/ontology alignment, metadata management, and retention/disposition.


* Partner with internal stakeholders (business leaders, data scientists, engineers, designers, operations, and control functions) to define requirements, prioritize use cases, and deliver product increments that are measurable and adopted.


* Oversee the integration and release of unstructured data services into products and workflows, ensuring solutions are scalable, resilient, secure, and compliant (privacy, records, model risk, data governance).


* Define and track KPIs (e.g., content coverage, freshness/latency, retrieval relevance, grounding/answer quality, user adoption, cost-to-serve, operational health) and use insights to drive continuous improvement.


* Establish responsible AI and governance-by-design for unstructured data activation (PII handling, access controls, auditability, explainability/traceability, evaluation, and human-in-the-loop controls).


* Coach and mentor the product team on best practices (discovery, story mapping, prototyping, experimentation, adoption strategies, and delivery), enabling consistent execution against objectives.

Required qualifications, capabilities, and skills



* 8+ years of experience or equivalent expertise delivering products, projects, or technology applications


* Extensive knowledge of the product development life cycle, technical design, and data analytics
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