AVP, AI & Innovation

Line of Business: TD Securities Pay Detail: $200,000 - $280,000 USD 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.

Role mandate: Lead the front office AI products, business transformation, and innovation capability for TD Securities. The role is accountable for identifying, designing, validating, and scaling AI-enabled tools, workflows, and business capabilities that create measurable value, improve decision quality, increase productivity, and strengthen client coverage and execution across front office functions. This role provides business ownership, product strategy, adoption leadership, and value realization for AI-enabled front office capabilities. It partners with Technology, Data, Risk, Compliance, Legal, Information Security, and enterprise AI teams. Strategic leadership and thought leadership: • Develop and execute the vision, strategy, roadmap, and adoption model for AI-enabled business capabilities across TD Securities front office domains. • Act as a senior thought leader on AI, generative AI, agentic workflows, human-agent operating models, decision intelligence, and future-of-work opportunities for the business. • Translate emerging AI capabilities into practical business strategies, use cases, products, operating models, and value creation opportunities. • Educate and influence senior executives and business leaders on AI opportunities, risks, adoption priorities, and investment choices. • Shape business priorities for AI transformation by connecting market trends, client needs, front office workflows, and organizational strategy. Business value creation: • Identify and prioritize AI opportunities, build business cases, value hypotheses, adoption plans, and value realization frameworks for AI-enabled initiatives. • Ensure initiatives are anchored in business outcomes, not technology novelty, including clear measures of impact, adoption, usability, control readiness, and strategic value. • Partner with front office leaders to redesign workflows where AI can augment human judgment, automate routine work, accelerate insight creation, or improve execution quality. • Drive commercialization and operational adoption of AI capabilities so that solutions become embedded in business processes rather than remaining pilots. AI products and capability development: • Lead development of reusable AI products, decision-support capabilities, workflow tools, and agent-enabled business services. • Establish product management disciplines for AI-enabled capabilities, including product vision, roadmaps, lifecycle management, prioritization, adoption, and value tracking. • Design capabilities that reuse trusted data products, semantic business context, approved workflows, and governed AI patterns wherever possible. • Create scalable business capabilities that can be reused across desks, business lines, regions, or functions rather than building isolated one-off solutions. • Partner with Data Products on data readiness, semantic definitions, productized data assets, quality expectations, lineage, and AI-ready information structures. Agentic transformation and future ways of working: • Lead business adoption of agent-enabled workflows and human-agent