PGTL - Metadata Management & Data Discovery

Lead the development of technical solutions at the Product Family level.,Provide advanced and highly specialized technical leadership and development experience in end-to-end execution of product team solutions.,Partner with business, project management, and technology groups across the enterprise.,Ensure alignment with the organization's Target Operating Model, technology roadmap, and enterprise architecture.,Own the end-to-end technology, product, platform, and engineering strategy, architecture, and delivery outcomes for data cataloging, data management, metadata management, data discovery & metadata harvesting, automated classification & enrichment (ACE), and AI for data management capabilities.,Lead and develop PGTLs in each area, setting the North Star for the portfolio.,Ensure cohesive, scalable solutions across multi-cloud and highly federated on-prem environments.,Translate enterprise priorities into a sequenced roadmap.,Harmonize engineering practices.,Drive measurable business value through automation, evidence-by-design, and operational excellence.,Ensure solutions are consistent with organizational objectives.,Utilize subject matter expertise to introduce new or updated technologies.

Undergraduate degree or Technical Certificate.,Graduate degree preferred.,10+ years of development and technology delivery experience.,Agile Delivery Experience preferred.,Proven leadership of multiple concurrent Product Groups (or equivalent portfolios).,Delivery of discovery, classification/enrichment, and AI/agent capabilities.,Deep architecture expertise across multi-cloud and federated on-prem estates.,Hands-on familiarity with metadata/catalog/lineage platforms, pipeline orchestration, and observability.,Experience in AI/ML service design (LLM/RAG, agent frameworks, guardrails, evaluation/MLOps).,Evidence-by-design approaches for governance.,Background in financial-services data practices.,Familiarity with privacy-preserving techniques, synthetic data for test harnesses, and cost/performance optimization of large-scale scanning workloads.

Undergraduate degree or Technical Certificate (Graduate degree preferred)

Must be willing to travel (Occasional Domestic Travel)