AI Product & Delivery Lead
Thermo Fisher
Mississauga, Canada · Posted today · 18 Sept 2026
City
Mississauga
Type
Full-time
Field
Other
Pay
On apply page
Work Schedule
Overview
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
ROLE OPEN REMOTELY TO BOTH US AND CANADA
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join Thermo Fisher Scientific and help transform Human Resources through innovative AI solutions. We are building a new AI capability within HR and are looking for a technically fluent, business-focused leader to drive strategy, requirements, and delivery.
This role is ideal for someone who understands how AI systems work and can translate business needs into scalable AI solutions. You will partner closely with HR stakeholders and AI engineering teams to define use cases, manage delivery, and ensure successful adoption.
In this role, you'll apply your expertise in data analysis, process optimization, and project management to deliver impactful results that support our mission of enabling customers to make the world healthier, cleaner, and safer. You'll partner with stakeholders at all levels to identify opportunities for improvement, develop comprehensive solutions, and ensure successful delivery of business-critical projects.
What You’ll Do
- Partner with HR leaders to identify and prioritize AI opportunities aligned to business goals.
- Lead structured requirements gathering and translate business needs into clear product and technical specifications.
- Define AI use case strategy, roadmaps, KPIs, and success metrics.
- Work directly with AI engineers and data scientists to design and deliver AI solutions (e.g., AI agents, chatbots, workflow automation).
- Own end-to-end project delivery, including planning, risk management, stakeholder communication, testing, deployment, and hypercare support.
- Establish ways of working, governance, and intake processes for a newly forming AI team.
- Drive adoption through documentation, training, and change management.
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