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Ai Program Jobs in Ontario (NOW HIRING)

SUMMARY The Lead, AI Program Management owns the health of Chubb's Global AI program portfolio and the delivery outcomes of one of its highest-priority AI programs. Reporting to the VP, AI Programs ...

Shape AI program delivery as a Program Manager within AI Activation. Lead project teams and ensure effective governance and execution of all AI initiatives. This role, reporting to the AVP of AI ...

New

RBC Borealis is seeking an experienced Director of AI Program Management to lead one of RBC Borealis' AI and Digital transformation programs focused on a single line of business. This strategic ...

Program Manager AI Activation

Toronto, ON · On-site

CA$79K - CA$131K/yr

Program & Portfolio Leadership Own the AI Activation program portfolio, structuring work from Big Rock → Program → Project level. Ensure consistent program design, dependency management, and ...

Program Manager AI Activation

Toronto, ON · On-site

CA$79K - CA$131K/yr

Program & Portfolio Leadership Own the AI Activation program portfolio, structuring work from Big Rock → Program → Project level. Ensure consistent program design, dependency management, and ...

CA$105K - CA$125K/yr

Position Summary We are seeking an experienced and results-driven AI Technical Program Manager / Delivery Manager to lead a centralized AI implementation and delivery organization supporting a ...

Develop measurable KPIs and benefits realization plans to track AI program success. * Create a comprehensive communication and engagement plan to ensure stakeholder awareness and alignment with AI ...

New

CA$100K - CA$115K/yr

Track AI program milestones, dependencies, and adoption metrics. * Ensure alignment between AI initiatives and business objectives. * Work closely with Data Science, Data Engineering, Security ...

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Ai Program information

What careers can I get in AI?

Careers in AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and knowledge of AI frameworks like TensorFlow or PyTorch, often supported by relevant certifications or advanced degrees.

What is an entry-level job in AI?

An entry-level AI program role typically involves assisting with data collection, cleaning, and basic model training under supervision. Candidates often need foundational knowledge of programming languages like Python, understanding of machine learning concepts, and familiarity with tools such as TensorFlow or PyTorch.

What are AI programs?

AI programs are software applications designed to simulate human intelligence processes such as learning, reasoning, problem-solving, and decision-making. They use algorithms, data, and computational power to perform tasks that typically require human intelligence, including language understanding, image recognition, and decision automation. AI programs can be found in various industries, powering technologies like virtual assistants, recommendation systems, and automated customer service. Their capabilities are continually evolving as advancements in machine learning and data processing occur.

What are the key skills and qualifications needed to thrive as an AI Program Manager, and why are they important?

To thrive as an AI Program Manager, you need a solid background in computer science, project management, and a strong understanding of artificial intelligence concepts, often supported by a relevant degree and certifications like PMP or Agile. Familiarity with technical tools such as JIRA, Python, machine learning frameworks, and cloud platforms is typically required. Outstanding communication, leadership, and problem-solving skills help drive cross-functional teams and manage stakeholder expectations. These abilities are essential for successfully delivering AI projects that meet organizational goals and adapt to rapidly evolving technologies.

What jobs can you get from AI?

Jobs related to AI include AI engineer, machine learning engineer, data scientist, AI researcher, and AI product manager. These roles involve developing algorithms, training models, analyzing data, and implementing AI solutions, often requiring skills in programming, statistics, and familiarity with AI frameworks like TensorFlow or PyTorch.

What are some typical challenges faced by professionals working in AI program management, and how can they overcome them?

Professionals in AI program management often face challenges such as ensuring effective communication between technical and non-technical stakeholders, managing rapidly evolving project requirements, and staying updated with the latest advancements in AI technologies. To overcome these hurdles, successful AI program managers focus on fostering collaborative team environments, maintaining flexible project plans, and continuously investing in professional development. Regularly aligning goals with stakeholders and encouraging cross-functional learning are also key strategies for managing complexity and driving project success.

What is the difference between Ai Program vs Data Scientist?

AspectAi ProgramData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, research labs; often collaborative and project-basedBusiness, finance, healthcare sectors; analytical and research-focused
Employer & Industry UsageDeveloping AI models, algorithms, and applicationsAnalyzing data, building predictive models, deriving insights

While both roles require knowledge of machine learning and programming, Ai Programs focus on developing AI systems and algorithms, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within tech and data-driven industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, research scientist, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. Such roles usually involve leadership responsibilities, specialized expertise, and may require advanced degrees or certifications, with compensation reflecting experience and impact.
What are the most commonly searched types of Ai Program jobs in Ontario? The most popular types of Ai Program jobs in Ontario are:
What job categories do people searching Ai Program jobs in Ontario look for? The top searched job categories for Ai Program jobs in Ontario are:
What cities in Ontario are hiring for Ai Program jobs? Cities in Ontario with the most Ai Program job openings:
Infographic showing various Ai Program job openings in Ontario as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Lead, AI Program Management

Chubb

Toronto, ON

Full-time

Posted 13 days ago


Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

136th of 299 rated insurance


Job description

SUMMARY

The Lead, AI Program Management owns the health of Chubb's Global AI program portfolio and the delivery outcomes of one of its highest-priority AI programs.

Reporting to the VP, AI Programs, Strategy & Operations, this role is accountable for staying on top of how every Global AI program is performing, for giving leadership a clear, independent view of status, risk, and value, and for delivery oversight over the Head of Global AI's flagship program. This role owns proactive risk governance and value measurement. They also define how AI programs are governed, delivered, and measured as the Head of Global AI's portfolio scales, and brings AI directly into the practice of program management. The role produces communication that equips leadership to make timely, well-informed decisions.

RESPONSIBILITIES

Portfolio Health & Oversight

  • Maintain an accurate, independent view of status, risk, and value across all programs in the Global AI portfolio at any given time.

  • Establish program status by assessing reported progress against actual delivery, working across program leads, delivery teams, and key IT partners.

  • Run the Global AI Portfolio governance and reporting cadences that keep multiple concurrent programs on track, and bring leadership clear, actionable recommendations.

  • Identify program risks early and design mitigation plans, establishing mitigation ownership with the teams and partners best positioned to act.

  • Build and maintain the portfolio risk framework, including how risks are identified, prioritized, owned, and escalated.

Flagship Program Delivery Oversight

  • Own the delivery outcome of one of Chubb's highest priority AI programs, staying close enough to its progress across data, model, and application layers to assess real status.
  • Own the governance of the program and engage directly on the matters that most affect the outcome: the risks that require negotiation, the issues that require resolution, and the decisions that require senior judgment. Delivery teams manage day-to-day execution; this role is accountable for the program shipping on time and meeting its targets.

Communication & Stakeholder Engagement

  • Produce executive-standard communication that turns complex, cross-program activities into a clear, decision-ready narrative, distinguishing meaningful progress on outcomes and identifying what requires a decision.

  • Deliver reporting, updates, and briefs of a quality that stands on its own before senior leaders.

  • Coordinate across product and engineering teams, aligning stakeholders with competing priorities and holding them to their commitments through influence 

Frameworks, Standards & Continuous Improvement

  • Define and evolve how AI programs are governed, delivered, and measured as the portfolio scales, raising the standard of delivery across the team.

  • Bring AI into the practice of program management, from status synthesis and risk analysis to forecasting and reporting, and grow its use across the team

Mentoring

  • Support the growth of others on the team by sharing expertise and coaching on program management practice

WHAT SUCCESS LOOKS LIKE

  • Leadership has a clear, current, and trusted view of status, risk, and outcomes across every Global AI program, and makes faster, better-informed decisions as a result

  • Risks are identified and addressed before they affect delivery

  • The flagship program ships on time and meets its targets

  • AI programs are governed, delivered, and measured through a stronger, more scalable outcomes-based approach as the portfolio grows

  • AI is embedded in how the team practices program management, raising the speed and quality of the work

QUALIFICATIONS & EXPERIENCE

  • 10+ years of program or portfolio management experience; a strong sense of ownership of outcomes with direct responsibility for driving complex, cross-functional technology programs to delivery 

  • Experience both operating inside a large, matrixed, global enterprise and delivering enterprise-scale programs, with a track record of navigating complexity across functions and markets.

  • A record of owning complex delivery challenges end to end, pairing strong delivery discipline with genuine accountability for outcomes.

  • A record of owning ambiguous, open-ended problems and defining the approach to solve them.

  • Exceptional executive communication skills, with a track record of turning complex, cross-program detail into clear, decision-ready reporting for senior leadership.

  • Demonstrated ability to build governance, risk, and reporting frameworks from the ground up and embed them into how teams work.

  • Hands-on engagement with AI and a track record of actively exploring how to apply it.

  • Mastery of stakeholder engagement, influencing, and alignment across teams and partners outside the reporting line, with the ability to build trust quickly.

  • Sound judgment to operate above the detail and manage the portfolio as a whole while retaining strong execution discipline.

  • Sufficient understanding of the AI delivery lifecycle to govern delivery and assess risk.

  • Experience managing and developing team members.

  • Proficiency with program tracking, collaboration, and business intelligence tools (e.g., JIRA, Confluence, Power BI).

PREFERRED

  • Experience applying AI directly to project or program management, with specific examples of how it has changed the way you manage programs

  • Experience partnering with Finance on budgeting, forecasting, or value measurement.

  • Experience in insurance or financial services.

  • Program or project management certification (e.g. PMP) an asset.

Chubb Canada does not use artificial intelligence (AI) tools to assess, screen, or select applicants.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job.  If you require an accommodation during the hiring process or upon hire, please inform Human Resources.  If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant's accessibility needs.


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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US