Product Group Technology Lead - Metadata Management & Data Discovery
Description
This Senior Product Group Technology Lead role at The Toronto-Dominion Bank encompasses the end-to-end technology, product, platform, and engineering strategy, architecture, and delivery for data cataloging, metadata management, data discovery, automated classification and enrichment, and AI for data management. The successful candidate will lead and develop other Product Group Technology Leads, establish the portfolio's strategic vision, ensure cohesive and scalable solutions across multi-cloud and on-premise environments, and translate enterprise priorities into actionable roadmaps to deliver measurable business value through automation and operational excellence.
What We're Looking For
Define and drive the portfolio vision, strategy, OKRs, and success metrics, sequencing epics to maximize value.
Deliver and evolve enterprise data catalog capabilities using the Collibra suite, including platform configuration, metadata ingestion, lineage enablement, workflow development, and persona-centric experiences.
Establish common architecture patterns, guardrails, and SLAs/SLOs for data ingestion, connectors, classification/tagging, and agent orchestration, ensuring interoperability.
Manage roadmap and delivery governance through quarterly planning, portfolio reviews, and dependency management to ensure predictable, evidence-by-design delivery.
Lead, coach, and develop Product Group Technology Leads and their teams, building a high-performing organization with clear roles and growth plans.
Define and track service health (availability, latency, freshness, accuracy), institute observability and incident practices, and own runbooks for portfolio-level events.
Embed safe-AI and data-management practices, ensure policy alignment, transparent decision-making, and manage vendor/third-party risks.
Partner with senior technology and business leaders, representing the portfolio, communicating outcomes and trade-offs, and driving adoption.
Ideal Candidate
Undergraduate degree or Technical Certificate (Graduate degree preferred)
12–15+ years across data/platform engineering, data management/governance, and AI/ML
10+ years building and leading product/platform organizations at enterprise scale
Proven leadership of multiple concurrent Product Groups (or equivalent portfolios) with experience in discovery, classification/enrichment, and AI/agent capabilities
Strong knowledge of Data Catalogs (Collibra knowledge is a plus), Data Management Domain, Metadata Management Principles
Strong and demonstrated knowledge of Collibra Catalog and Collibra Product suites
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) and evidence-by-design approaches for governance
Exceptional stakeholder management, communication, and organizational change leadership
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
Minimum Education
Bachelor's Degree or Technical Certificate (Master's Degree preferred)
Hard Skills
Soft Skills
Work Hours
37.5 hours/week
Benefits
Special Commitments
Commitment to embedding safe-AI and data-management practices Ensure policy alignment and transparent decision-making regarding AI and data governance Manage vendor and third-party risks
About the Company
The Toronto-Dominion Bank
The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group, one of the largest banks in North America. TD provides a wide range of personal, commercial, and investment banking products and services to over 27 million customers globally. Headquartered in Toronto, Canada, the bank operates through key segments including Canadian Retail, U.S. Retail, and Wholesale Banking.
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