Product Group Technology Lead Metadata Management & Data Discovery

TD Bank

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

149500 - 183500 CAD

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 candidates 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 endtoend 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 multicloud and highly federated onprem environments. The Senior PGTL translates enterprise priorities into a sequenced roadmap harmonizes engineering practices and drives measurable business value through automation evidencebydesign and operational excellence. Funding for this role is in plan.

Portfolio Scope:

  • Data Discovery & Metadata Harvesting: Enterprise discovery source onboarding lineage/codescan hooks (readonly) telemetry/log ingestion and reliable pipelines to produce highquality metadata at scale.
  • ACE (Automated Classification & Enrichment): Automated sensitivity classification tagging and businesscontext enrichment integrated with catalog/lineage to make data discoverable and governable.
  • AI4DM (AI for Data Management): AI methods and agentbased services that augment Data Management lifecycle activities (plan build run optimize) including governance automation policyascode reasoning delivery workflow assistance and auditready 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 crossPG backlogs; remove impediments; ensure predictable delivery and evidencebydesign.
  • People Leadership - Coach and develop PGTLs and their leads; build a highperforming 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 portfoliolevel events and communications.
  • Risk Compliance & Ethics (AI included) - Embed safeAI and datamanagement practices (evaluation guardrails auditability); ensure policy alignment and transparent decisioning; manage vendor and thirdparty risks.
  • Stakeholder Partnership - Represent the portfolio to senior technology and business leaders; communicate outcomes and tradeoffs; 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 timetopublish).
    • Implement evaluation harnesses for AI outputs; manage model/version lifecycles and rollback plans.

  • Evidence & Reporting
    • Produce auditready evidence and executive dashboards for coverage quality reliability and portfolio value.
    • Publish insight packs that inform decisionmaking 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:

  • 1215 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 multicloud and federated onprem estates; handson familiarity with metadata/catalog/lineage platforms pipeline orchestration and observability.
  • Strong experience in AI/ML service design (LLM/RAG agent frameworks guardrails evaluation/MLOps); evidencebydesign approaches for governance.
  • Exceptional stakeholder management communication and organizational change leadership.
  • Background in financialservices data practices; familiarity with privacypreserving techniques synthetic data for test harnesses and cost/performance optimization of largescale scanning workloads.

Who We Are:

TD is one of the worlds 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 95000 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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 youre 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.

Were 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 youve got everything you need to succeed in your new role.

Interview Process
Well 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 youd 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):

Sans Objet
Work Location:Toronto Ontario CanadaHours:37.5Line of Business:Technology SolutionsPay Details:149500 - 183500 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience...
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Key Skills

  • JSP
  • Access
  • Account Management
  • Corporate Risk Management
  • KYC
  • Administrative Services

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