Product Group Technology Lead - Metadata Management & Data Discovery

Work Location:

Hours:

Line of Business:

Pay Details:

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Role Summary

The Senior PGTL owns the end?to?end technology strategy, architecture, and delivery outcomes for a portfolio of Product Groups spanning:

• Data Discovery & Metadata Harvesting
• Automated Classification & Enrichment (ACE)
• AI for Data Management (AI4DM).

This role leads and develops the PGTLs heading each area, sets the North Star for the portfolio, and ensures cohesive, scalable solutions across multi?cloud and highly federated on?prem environments. The Senior PGTL translates enterprise priorities into a sequenced roadmap, harmonizes engineering practices, and drives measurable business value through automation, evidence?by?design, and operational excellence. Funding for this role is in plan.

Portfolio Scope:

• Data Discovery & Metadata Harvesting: Enterprise discovery, source onboarding, lineage/code?scan hooks (read?only), telemetry/log ingestion, and reliable pipelines to produce high?quality metadata at scale.
• ACE (Automated Classification & Enrichment): Automated sensitivity classification, tagging, and business?context enrichment, integrated with catalog/lineage to make data discoverable and governable.
• AI4DM (AI for Data Management): AI methods and agent?based services that augment Data Management lifecycle activities (plan ? build ? run ? optimize), including governance automation, policy?as?code reasoning, delivery workflow assistance, and audit?ready evidence generation.

Accountabilities:

• Product Family Ownership - Set the portfolio vision and strategy; define OKRs and success metrics; sequence epics across the three PGs to maximize value and minimize duplication.
• Architecture & Engineering Excellence - Establish common patterns (data ingestion, connectors, classification/tagging, agent orchestration), guardrails, and SLAs/SLOs; ensure interoperability across platforms and pipelines.
• Roadmap & Delivery Governance - Run quarterly planning (QBRs), portfolio reviews, and dependency management; align cross?PG backlogs; remove impediments; ensure predictable delivery and evidence?by?design.
• People Leadership - Coach and develop PGTLs and their leads; build a high?performing organization with clear roles, growth plans, and succession; set standards for hiring, onboarding, and performance.
• Operational Reliability - Define and track service health (availability, latency, freshness, accuracy); institute observability and incident practices; own runbooks for portfolio?level events and communications.
• Risk, Compliance & Ethics (AI included) - Embed safe?AI and data?management practices (evaluation, guardrails, auditability); ensure policy alignment and transparent decisioning; manage vendor and third?party risks.
• Stakeholder Partnership - Represent the portfolio to senior technology and business leaders; communicate outcomes and trade?offs; drive adoption via enablement, reference architectures, and playbooks.

Key Responsibilities:

• Strategy & Planning
  • Translate enterprise objectives into a unified roadmap across Discovery, ACE, and AI4DM.
  • Prioritize capabilities that increase coverage, quality, and automation while controlling noise and cost.

• Design & Build
  • Standardize connector/collector approaches and metadata pipelines; scale classification and enrichment; stand up AI/agent services that automate lifecycle and governance tasks.
  • Ensure modular, composable services that can be reused across domains and platforms.

• Run & Optimize
  • Operate portfolio services with clear SLOs; drive continuous improvement (noise reduction, accuracy lift, time?to?publish).
  • Implement evaluation harnesses for AI outputs; manage model/version lifecycles and rollback plans.

• Evidence & Reporting
  • Produce audit?ready evidence and executive dashboards for coverage, quality, reliability, and portfolio value.
  • Publish insight packs that inform decision?making and future investments.

• Talent, Budget & Vendor Management
  • Own staffing plans, budgets, and vendor relationships; negotiate scope and performance; ensure enterprise standards and cost transparency.

Qualifications:

• 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 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.
• Strong experience in AI/ML service design (LLM/RAG, agent frameworks, guardrails, evaluation/MLOps); 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.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):