AVP, Analytics, Insights and AI, AI Product

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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:

The AVP AI Product leads a material enterprise AI product area or AI transformation initiative within Layer 6. This role is accountable for translating TDs AI priorities into trusted scalable products and measurable outcomes - from opportunity selection and AI product strategy through delivery production adoption day 2 management and controlled retirement. They will lead a team of AI product owners and partners with multidisciplinary teams across business design technology and risk to create AI powered experiences that are remarkably human and refreshingly simple.

Role Accountabilities:

• Set product direction: Collaborate with business and technology partners to help shape the target state vision develop AI roadmap align on business outcomes and set investment priorities for the assigned AI product area or portfolio.
• Select the right opportunities: Assess client or colleague needs strategic fit AI suitability feasibility economics risk and reuse potential; Surface and facilitate stop or pivot decisions as needed.
• Own AI delivery end to end. Lead discovery design build / blend evaluation control readiness launch adoption production operation scaling and retirement of AI capabilities.
• Support realization of measurable value. Set baselines and success measures; track adoption financial and non-financial benefits product economics and sustained outcomes with business owners.
• Apply technical product judgment on model data retrieval agentic design evaluation architecture integration human oversight reliability latency scalability and cost decisions.
• Embed Responsible AI and controls. Ensure model risk privacy security compliance data governance operational resilience and Responsible AI requirements are addressed through appropriate evidence monitoring escalation and remediation. Operate within TD risk appetite and governance.
• Own production health. Establish quality service and risk thresholds; oversee monitoring incidents change rollback issue management and controlled decommissioning.
• Scale through reuse. Drive adoption of reusable capabilities control artifacts evaluation assets reference patterns and playbooks to simplify delivery and reduce duplication.
• Lead adoption and change. Embed AI into business workflows clarify accountable use enable users gather feedback and sustain client and colleague outcomes.
• Build and lead a high performing team. Hire coach develop and performance-manage direct reports; build succession; align senior business technology and control partners; remove barriers and raise product standards

REQUIRED QUALIFICATIONS

• Bachelors degree or equivalent practical experience in a relevant discipline.
• 10 years of progressive experience across product management technology delivery AI/data/analytics platformleadershipor transformation including significant leadership of complex products from discovery through production and sustained operation.
• Demonstratedpeopleleadership including hiring coaching performance managementdevelopmentand succession of direct reports.
• Strong product and commercial judgment: strategy roadmaps prioritization business cases metricsadoptionand value realization.
• Practical fluency in predictive AI GenAI and agentic systems including LLMs RAG evaluation orchestration/tool use human oversight model/datalifecycleand observability.
• Ability to constructively challenge architecture integration cloud/platform API reliabilitysecurityand cost trade-offs without being the principal engineer or model developer.
• Experience influencing senior executives and leadingacross business technologyoperationsand control functions in a regulated environment.

PREFERRED QUALIFICATIONS

• Masters degree in computer science engineering data science businessfinanceora relatedfield.
• Financial-services experience and familiarity with model risk Responsible AI privacy cybersecurity data governance third-partyriskand operational resilience.
• Experience scaling enterprise AI platforms reusable AI capabilitiesMLOps/LLMOps evaluation tooling or production observability across multiple teams or businesses.
• Experience with vendor evaluation build/reuse/buydecisionsand AI-enabled organizational change

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):