Product Group Technology Lead AI 4 Data Management (AI4DM)

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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 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 PGTL for AI for Data Management is accountable for designing building and scaling AI methods and agentbased services that automate and augment every aspect of Data Management discovery classification cataloging lineage data products and quality to governance workflows evidence generation and delivery lifecycle orchestration. This role owns the vision implementation and product leadership for AI and AI Agents that turn metadata policies and operational signals into actionable automation and continuous intelligence across cloud and onprem environments.

Accountabilities:

• Product & Platform Ownership - Define and own the AI4DM product vision roadmap and value stream. Prioritize capabilities such as agent orchestration LLMpowered assistants policyascode reasoning and intelligent workflow automation.
• AI Methods & Agent Fabric - Establish reusable AI building blocks (LLMs retrieval guardrails prompt/tooling frameworks evaluators) and an agent fabric that can be composed to serve multiple Data Management capabilities.
• Lifecycle Coverage - Apply AI/Agents across the Data Management Delivery Lifecycle (plan build run optimize) and governance activities (standards procedures attestations evidence packs) ensuring repeatable and auditready outcomes.
• Engineering Leadership - Lead crossdisciplinary squads (data platform catalog/lineage governance DevOps/MLOps). Set engineering standards SLAs/SLOs and automationfirst practices for reliable scalable AI services.
• Enterprise Integration - Integrate AI services with catalog lineage metadata lake pipelines ticketing/ITSM workflow engines and observability platforms to enable closedloop automation and continuous improvement.
• Adoption & Change Enablement - Drive adoption via reference architectures onboarding kits playbooks and reusable patterns; enable segments and domains to consume and extend AI capabilities safely and consistently.

Key Responsibilities:

• Design & Build AI Capabilities
  • Architect LLM/RAG services toolusing agents and rulelearning components that perform discovery classification tagging enrichment lineage extraction and dataquality assistance.
  • Implement guardrails prompt standards evaluation harnesses and safety policies for reliable outputs and traceable decisions.

• Agentized Delivery Lifecycle
  • Create delivery agents that assist with backlog curation acceptance criteria policy mapping and evidence generation across Data Management initiatives.
  • Orchestrate runtime agents for monitoring metadata freshness control evidence assembly exception triage and remediation workflow handoffs.

• Governance Automation
  • Codify standards and procedures into policyascode libraries that agents can interpret and apply; generate dashboards and attestations that are auditready by design.
  • Automate glossary alignment role/ownership attribution and lifecycle checkpoints to reduce manual governance effort.

• Data Quality & Intelligence
  • Use AI to recommend dataquality rules detect drift and anomalies and prioritize highvalue exceptions; enable autohealing patterns where appropriate and safe.
  • Provide insight packs that summarize posture coverage and improvement opportunities across domains and platforms.

• MLOps & Reliability
  • Establish environments pipelines and telemetry for model lifecycle management (versioning evaluation rollback observability).
  • Define service SLOs (latency accuracy freshness) and implement monitoring/alerting for agent reliability and output quality.

• Stakeholder Leadership
  • Partner with Data Governance Privacy Records & Information Management Platform COEs and domain teams to align policies waivers and technical design decisions.
  • Facilitate QBRs and program reviews; report outcomes risks and nextbest actions.

Qualifications:

• 10 years across data engineering data governance/management; 5 years leading platform/product teams at enterprise scale.
• 10 years in AI/ML engineering and Data Science
• Demonstrated delivery of AI/agentbased services for Data Management (e.g. catalog/metadata enrichment lineage extraction dataquality assistance governance automation).
• Strong architecture skills with LLMs retrieval systems agent frameworks event/workflow orchestration and integration with catalog/lineage/metadata platforms.
• Proficiency in MLOps (model versioning evaluation telemetry rollback) observability for AI services and policyascode patterns.
• Expertise in taxonomy/glossary design metadata quality and lifecycle governance practices.
• Excellent stakeholder leadership and communication across governance platform and delivery teams.
• Experience with multicloud and federated onprem environments; privacypreserving techniques; synthetic data generation for test harnesses; reinforcement learning from feedback to improve agent performance.

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 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):