Technology Delivery Lead, Enterprise AI
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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.
- 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.
- 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.
- 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 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
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
Categories
- Technology
- Management & Leadership
- Software
- Data & Analytics
- Consulting
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