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Added 11 mins ago
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Technology Delivery Lead, Enterprise AI
Marsh
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
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Senior H&B Consultant I
Marsh
Winnipeg, MB
- 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
M
Senior H&B Consultant I
Marsh
Halifax, NS
- 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
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Senior H&B Consultant I
Marsh
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 1 day ago
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Senior Health & Benefits Consultant - Calgary based position
Marsh
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 1 day ago
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Senior H&B Consultant I
Marsh
Vancouver, BC
- 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
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Senior H&B Consultant I
Marsh
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
M
Senior H&B Consultant I
Marsh
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
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SVP, Actuary
Marsh
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 3 days ago
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Conseiller(ère) en rémunération (associé(e) principal(e))
Marsh
Montreal, QC
- Full-time
Ce poste sera basé à Montréal, et il s’agira d’un poste hybride avec l’obligation de travailler au bureau au moins trois jours par semaine
Added 4 days ago
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Marsh Human Resources Manager
Marsh
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
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Conseiller adjoint, Centre d'excellence Santé et Avantages Sociaux
Marsh
Montreal, QC
- Full-time
Added 5 days ago
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Defined Benefit - Pension Administrator
Marsh
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
M
H&B Consultant
Marsh
Montreal, QC
- Full-time
Added 6 days ago
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Client Relationship Management - Lead Specialist
Marsh
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
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R_370948 Gestion des relations avec les clients – Spécialiste principal
Marsh
Montreal, QC
- Full-time
Il s’agit d’un rôle hybride à raison d’au moins trois jours par semaine au bureau
Added 6 days ago
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Support Specialist - AI Applications
Marsh
Toronto, ON
- Full-time
Added 7 days ago
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Senior H&B Consulting Analyst
Marsh
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
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Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027
Marsh
Toronto, ON
- Temporary
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
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Operations and Financial Coordinator
Marsh
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 8 days ago
M
Operations and Financial Coordinator
Marsh
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 11 days ago
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Toronto Health Office Practice Leader
Marsh
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
M
Oracle EPM Analyst
Marsh
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 12 days ago
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Investment Data Solutions Lead
Marsh
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 13 days ago
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IAM RBAC Business Solution Analyst Lead
Marsh
Toronto, ON
- Full-time

Marsh

Technology Delivery Lead, Enterprise AI

Toronto, ON, Canada

Full-time

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Job details

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

Original job 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.

R_368890

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More about this job

Responsibilities

Own the strategy, roadmap, and end-to-end delivery of enterprise AI products, translating business goals into requirements, delivery plans, and measurable outcomes. Lead cross-functional execution, AI proof-of-concepts, responsible AI practices, stakeholder communication, and ongoing product performance and prioritization.

Requirements

Requires 5–8+ years in technology product management, delivery leadership, or a similar role, including at least two years working with AI, machine learning, or data-intensive products. Candidates should bring strong technical knowledge of APIs, cloud platforms, data architecture, and system design, along with experience delivering enterprise software and influencing cross-functional teams.

Skills

Product Strategy
Product Roadmapping
AI Product Delivery
Cross-Functional Leadership
Stakeholder Management
API Architecture
Cloud Platforms
Data Architecture
System Design
Agile Product Development
Proof-of-Concept Development
Responsible AI
AI Governance
KPI and OKR Management
MLOps
Executive Communication

Benefits

Professional Development Opportunities
Career Opportunities
Well-Being Benefits and Rewards

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Natural Language Processing
Computer Vision
Product Strategy
Product Roadmap
Technology Delivery
Proof Of Concept
Data Readiness
APIs
AWS
Azure
Google Cloud Platform
Data Architecture
System Design
Agile
Responsible AI
Model Traceability
Privacy
Bias And Fairness
AI Governance
Model Risk Management
MLOps
MLflow
Kubeflow
Amazon SageMaker
Azure Machine Learning

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