Open jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 20 mins ago
MM
Technology Delivery Lead, Enterprise AI
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 22 hours ago
MM
Affinity Leader, Canada
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 1 day ago
MM
National Complex Liability Technical Claims Lead
Marsh McLennan
Montreal, QC
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 1 day ago
MM
Senior H&B Consultant I
Marsh McLennan
Winnipeg, MB · Toronto, ON · Montreal, QC · Vancouver, BC · Halifax, NS · Calgary, AB
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 3 days ago
MM
Talent & Rewards Consulting Analyst
Marsh McLennan
Toronto, ON
- Full-time
Added 4 days ago
MM
Marsh Human Resources Manager
Marsh McLennan
Toronto, ON
- Full-time
This role will be based in Toronto and offers a hybrid work arrangement, requiring a minimum of three days per week in the office · All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 4 days ago
MM
NERA Co-op Intern (Toronto)
Marsh McLennan
Toronto, ON
- $40 CAD / hour
- Full-time
Added 4 days ago
MM
H&B Consultant
Marsh McLennan
Montreal, QC
- Full-time
Added 4 days ago
MM
Cyber Team Leader
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 4 days ago
MM
Defined Benefit - Pension Administrator
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 4 days ago
MM
Oliver Wyman Actuarial - Consultant - Life Practice
Marsh McLennan
Toronto, ON
- Full-time
Added 4 days ago
MM
Senior Health & Benefits Consultant
Marsh McLennan
Calgary, AB · Ottawa, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 5 days ago
MM
Oliver Wyman Actuarial - Manager - Life Practice
Marsh McLennan
Toronto, ON
- Full-time
Added 5 days ago
MM
Oliver Wyman -Private Capital – Consultant (Toronto)
Marsh McLennan
Toronto, ON
- Full-time
Added 5 days ago
MM
Senior Administrative Assistant
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 5 days ago
MM
Client Relationship Management - Lead Specialist
Marsh McLennan
Montreal, QC
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 6 days ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
Added 6 days ago
MM
Support Specialist - AI Applications
Marsh McLennan
Toronto, ON
- Full-time
Added 7 days ago
MM
Senior H&B Consulting Analyst
Marsh McLennan
Calgary, AB
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 8 days ago
MM
Operations and Financial Coordinator
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 8 days ago
MM
Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 10 days ago
MM
Communication Consultant Senior Principal
Marsh McLennan
Montreal, QC
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 10 days ago
MM
Oracle EPM Analyst
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 11 days ago
MM
Toronto Health Office Practice Leader
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 11 days ago
MM
Global Financial Crime Screening Operations Manager
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week

Marsh McLennan

Technology Delivery Lead, Enterprise AI

Toronto, ON, Canada

Full-time

Apply on mmc.wd1.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 10, 2026

Original job description

Company:

Marsh

Description:

We are seeking a Technology Delivery Lead to join our AI Program, embedded within a dynamic technology portfolio delivery organization. In this role, you will own the end-to-end product strategy, roadmap, and execution for solutions that drive meaningful business outcomes across the enterprise.

You will partner closely with Technology teams (engineers, architects, analysts) and business stakeholders to translate business needs into innovative AI capabilities within well-defined, deliverable products. This is a highly visible, cross-functional role that demands both technical depth and strategic business acumen.

We will count on you to:

Define and drive the product vision, strategy, and multi-quarter roadmap in partnership with business, technology, and portfolio stakeholders.
Translate organizational goals into actionable product requirements, delivery plans, success metrics, and measurable business outcomes.
Serve as the technical voice of the product, partnering with engineers and architects across model development, data pipelines, APIs, cloud platforms, and AI infrastructure.
Lead rapid AI proof-of-concepts by framing business problems, assessing data readiness, defining evaluation approaches, and recommending next steps.
Drive delivery across cross-functional teams by managing risks, dependencies, trade-offs, vendor deliverables, and delivery cadence.
Embed responsible AI practices - including model traceability, privacy, bias and fairness, quality, and governance - throughout the product lifecycle.
Build strong relationships with senior stakeholders by translating complex technical and AI concepts into clear value propositions and business cases.
Define and monitor KPIs, OKRs, adoption measures, and product health metrics; use insights to guide prioritization and continuous improvement.
Present product outcomes, progress, and roadmap updates to executive and portfolio leadership.

What you need to have:

5–8+ years of experience as a Technology Product Manager, Technology Delivery Lead, or similar role, including at least two years working with AI, machine learning, or data-intensive products.
Demonstrated success defining and executing product strategy in complex, fast-moving, cross-functional technology environments.
Strong technical foundation, including an understanding of APIs, cloud platforms such as AWS, Azure, or GCP, data architecture, and system design.
Experience partnering directly with engineers, architects, and other technical teams in an agile product development environment.
Proven ability to deliver enterprise-grade software products from concept through launch, adoption, and ongoing iteration.
Exceptional written and verbal communication skills, with the ability to influence stakeholders and drive decisions without direct authority.

What makes you stand out:

Experience working within a portfolio delivery, program management office, or similar structure in a large organization.
Familiarity with large language models, generative AI, natural language processing, computer vision, or other advanced AI technologies.
Background in software engineering, data science, systems architecture, or a related technical discipline.
Experience with enterprise AI governance, model risk management, responsible AI frameworks, or related controls.
Experience with MLOps tools and platforms such as MLflow, Kubeflow, Amazon SageMaker, Azure Machine Learning, or equivalent solutions.
An MBA or advanced degree in computer science, engineering, data science, or a related technical field.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005, Marsh will provide a reasonable accommodation to employees and prospective employees to the point of undue hardship upon request and as required in respect of the individual’s particular restrictions and limitations. If you require a specific accommodation because of a disability or medical need, please contact reasonableaccommodations@marsh.com.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.This is a New position.

Apply on mmc.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

The Technology Delivery Lead will own the end-to-end product strategy, roadmap, and execution for enterprise AI solutions. They will partner with cross-functional teams to translate business needs into innovative AI capabilities while ensuring responsible AI practices and governance.

Requirements

Candidates must have 5–8+ years of experience in technology product management or delivery, with at least two years focused on AI, machine learning, or data-intensive products. A strong technical foundation in cloud platforms, APIs, and system design is required, along with the ability to influence senior stakeholders.

Skills

Product strategy
AI program management
Roadmap definition
Stakeholder management
Cloud platforms
Data architecture
Agile methodology
Machine learning
Generative AI
MLOps
System design
Product lifecycle management
Risk management
Technical leadership
Business case development

Benefits

Professional development opportunities
Supportive leaders
Inclusive culture
Career opportunities
Well-being rewards

Visa sponsorship

Not detected in the job text

Keywords

Technology Delivery Lead
Enterprise AI
Product Strategy
Roadmap
Machine Learning
Data Pipelines
APIs
Cloud Platforms
AWS
Azure
GCP
AI Infrastructure
Proof-of-concepts
Responsible AI
Governance
KPIs
OKRs
Generative AI
Natural Language Processing
Computer Vision
Software Engineering
Data Science
MLOps
MLflow
Kubeflow
Amazon SageMaker
Azure Machine Learning
Agile
MBA
Risk Management

Report this job