Product Group Technology Lead - Automatic Classification & Enrichment

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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 PGTL for Automated Classification & Enrichment enables and scales capabilities that automatically discover, classify, tag, and enrich data and metadata across the Bank.

The role owns discovery, implementation, and product leadership for the enterprise Auto?Classification solution. The purpose of this function is to provide high quality enriched and trusted metadata to downstream consumers.

Accountabilities:

• Product & Platform Ownership - Define and own the ACE product vision, roadmap, and value stream, including enterprise rollout of DSPM for discovery, automated classification and tagging services, enrichment pipelines, lineage/code?scan hooks (read?only), and telemetry/log ingestion.
• Discovery & Metadata Production - Establish standards and pipelines to continuously discover data assets and produce metadata at scale (sensitivity labels, ownership, glossary mappings, domain taxonomy, criticality, usage, jurisdictions), ensuring quality, completeness, and freshness.
• Business?Context Enrichment - Automate attachment of business context to technical assets so data is governable, searchable, and fit for downstream control design and monitoring.
• Engineering Leadership - Lead cross?disciplinary teams (data platform, privacy, catalog/lineage, DevOps). Set engineering standards, SLAs/SLOs, and automation?first practices for reliable, scalable ACE services.
• Enterprise Integration - Integrate ACE with catalog/metadata lake, lineage harvesting, identity/authorization directories (read?only), data pipelines, and observability platforms to support continuous discovery and enrichment.
• Adoption & Change Enablement - Drive adoption via reference architectures, onboarding kits, and migration patterns; partner with domains and control partners to embed discovery outputs into their control design and operations.

Key Responsibilities

• Implementation & Ownership
  • Lead vendor/tool discovery, evaluation, and selection; define the enterprise deployment approach suitable for multi?cloud and federated on?prem environments.
  • Design scalable onboarding patterns for connectors and collectors (read?only) that accommodate a broad range of data sources and platforms.
  • Establish capacity and performance strategies (scheduling, parallelization, throttling, load management) to achieve high coverage with manageable noise.
  • Plan environment integration (compute, networking, access methods, and runtime placement) consistent with enterprise architecture and separation?of?duties principles.
  • Operate central services for findings classification and routing to control owners; maintain runbooks for hand?offs, not enforcement.

• Automated Classification & Tagging
  • Implement classification models and labeling rules for sensitivity tiers and handling indicators; promote default labeling patterns to reduce unknown assets.
  • Maintain taxonomies and tagging schemes that reflect domains, processes, and critical data elements; manage versioning and change control.

• Metadata & Context Enrichment
  • Generate and curate business metadata (ownership, glossary terms, use?case tags, jurisdictions, retention context, lineage associations).
  • Establish metadata quality controls (completeness, accuracy, timeliness) and resolve duplicates, conflicts, and drift.

• Catalog & Lineage Integration
  • Feed enriched metadata to enterprise catalog and lineage stores; align identifiers to enable asset?level traceability across the data supply chain.

• Observability, Evidence & Reporting
  • Define SLOs for scan frequency, ingestion latency, metadata freshness, and catalog publish; implement dashboards and alerting.
  • Produce audit?ready evidence for discovery and classification activities; publish insight packs that control owners can consume to design, tune, and monitor their controls.

• Stakeholder Leadership
  • Engage Privacy, Security, Records/Information Management, BISOs, Data Owners/Stewards, Platform COEs, and Domain PGTLs.
  • Facilitate QBRs and program reviews; drive consensus on policies, waivers, and data/metadata standards.

Qualifications

• 10+ years across data engineering, data governance/management, privacy engineering, or metadata/catalog platforms; 5+ years leading cross?functional platform/product teams.
• Demonstrated delivery of enterprise discovery, automated classification, and enrichment using DSPM (discovery), catalog, and lineage technologies.
• Infrastructure proficiency deploying discovery platforms at scale in multi?cloud and federated on?prem environments, including:
  • Modern application runtime and automation approaches;
  • Core networking and connectivity concepts relevant to discovery;
  • Extensible connector/collector patterns for diverse data sources;
  • Operational monitoring, alerting, and service?level management.
• Strong architecture skills integrating discovery pipelines with catalog/metadata lake, lineage, identity directories (read?only), data pipelines, and observability stacks.
• Expertise in taxonomy design, glossary management, and metadata quality practices.
• Excellent stakeholder leadership and communication with Privacy, Security, Records, BISOs, Data Owners/Stewards, and Technology partners.
• Experience with progressive rollout strategies, capacity planning, and cost/performance optimization of large?scale scanning workloads.
• Familiarity with financial?services data protection and records requirements.

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

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):