This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.
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:
Department Overview
The Pricing technology team is seeking an experienced IT Manager to lead the design and delivery of an AI-enabled capability that integrates with existing models and creates a scalable, business-facing layer for scenario forecasting, A/B testing, model output review, and production workflow integration. This role will be accountable for providing hands-on technical leadership across Python-based model integration, API/service design, data and model orchestration, validation workflows, user interaction design, and enterprise-ready implementation.
Job Accountabilities – What You'll Do
Lead the technical design and implementation of an AI capability that integrates with existing enterprise models and enables business users to interact with model outputs in a controlled, intuitive, and scalable manner.
Design and develop a Python wrapper layer to standardize model integration, manage inputs and outputs, support reusable interfaces, and simplify future onboarding of additional models.
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Build or guide the development of APIs, services, orchestration workflows, and integration patterns that connect models with business applications and production systems.
Develop an interactive business layer that enables scenario forecasting, what-if analysis, A/B testing, model output review, and validation before downstream execution.
Partner with business stakeholders, product owners, data science teams, architects, QE, DevOps, risk, security, and operations teams to translate business outcomes into executable technical solutions.
Define technical requirements, solution options, delivery milestones, dependencies, risks, controls, and acceptance criteria for AI-enabled capabilities.
Establish validation workflows to ensure model outputs are reviewed, explainable, traceable, and approved before integration into production processes.
Ensure the solution aligns with enterprise architecture, data governance, security, privacy, responsible AI, model governance, release management, and operational readiness standards.
Provide technical guidance to engineering teams on clean Python design, modular architecture, API-first integration, automated testing, observability, resiliency, and production supportability.
Drive issue resolution, performance tuning, defect triage, release readiness, and post-implementation stabilization for AI-enabled workflows.
Prepare clear technical documentation, implementation plans, executive updates, and stakeholder communications to support delivery transparency and decision-making.
Mentor developers and analysts, promote engineering excellence, and foster a culture of innovation, accountability, and responsible adoption of AI capabilities.
Where You'll Work
You’ll be expected to work Primarily onsite at a TD location for meetings, team events and experiences. The hiring manager will provide more information about how this works for their team.
Job Requirements – What Yon Need to Succeed
Post-secondary degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
Strong hands-on experience with Python, including reusable package design, API integration, automation, data processing, orchestration, and production-quality coding practices.
Proven experience designing and delivering integration layers for models, analytics engines, APIs, microservices, data pipelines, or workflow automation solutions.
Practical understanding of AI/ML solution patterns, including model consumption, input/output handling, evaluation, monitoring, validation, explainability, and responsible AI controls.
Experience translating business needs into technical designs, user stories, integration patterns, acceptance criteria, and delivery plans.
Strong knowledge of enterprise technology delivery practices, including Agile delivery, SDLC, DevOps, CI/CD, testing automation, release management, monitoring, resiliency, and production support.
Ability to assess architecture options, technical trade-offs, risks, dependencies, data requirements, scalability considerations, and downstream operational impacts.
Demonstrated ability to lead cross-functional teams and influence stakeholders across technology, business, data, architecture, risk, security, compliance, and operations.
Excellent communication skills with the ability to explain complex AI and integration concepts to both technical and non-technical audiences.
Preferred
Experience in banking, financial services, pricing, forecasting, analytics, or decisioning platforms.
Familiarity with cloud-enabled AI services, Azure AI, Azure OpenAI, Databricks, SQL, REST APIs, Git, CI/CD pipelines, monitoring tools, Jira, Confluence, and enterprise data platforms.
Experience building business-facing tools for scenario analysis, simulation, experimentation, dashboarding, workflow review, or decision support.
Understanding of model governance, auditability, privacy, data lineage, access controls, and regulated production environments.
Ability to operate with ambiguity, structure complex delivery work, remove blockers, and drive measurable business and technology outcomes.
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 em
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