Lead Product Manager - Data, AI and Automation

Data & AI Product Lead

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

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

We are seeking a highly experienced Lead Product Owner to drive data, AI, and automation initiatives across enterprise functions. This role will be responsible for defining product strategy, delivering scalable data-driven solutions, and enabling digital transformation through advanced analytics and automation.

Experience Required

• 15+ years of overall professional experience
• 8+ years of experience as a Product Owner or in a similar product leadership role
• Good experience in leading Product Management / Product Owner teams

Key Responsibilities

• Define and own product vision, strategy, and roadmap for data, AI, and automation initiatives
• Collaborate with cross-functional stakeholders to identify and prioritize digital opportunities
• Lead Agile product development (Scrum/SAFe), including backlog management, sprint planning, and prioritization
• Translate business requirements into clear user stories and acceptance criteria
• Drive adoption of digital technologies including IoT and digital twins where applicable
• Ensure delivery of scalable, high-quality data and automation solutions
• Define KPIs and success metrics to measure product performance and business impact
• Act as a bridge between business stakeholders, engineering teams, and data/analytics teams

Domain Expertise

Candidates must have expertise in at least two of the following domains:

• Finance and Commercial
• Supply Chain
• Quality
• Manufacturing / Operations

Required Skills & Qualifications

• Strong understanding of data platforms, data pipelines, and scalable computing architectures
• Experience with cloud infrastructure (AWS and/or Azure)
• Experience with data engineering and ETL/ELT processes
• Experience with ERP systems, preferably SAP
• Hands-on experience with:
  • SQL
  • Data visualization tools (Power BI, Tableau)
• Strong understanding of data processing and pipeline design
• Solid knowledge of Agile methodologies
• Excellent stakeholder management and communication skills
• Strong analytical and problem-solving abilities

Preferred Qualifications

• Exposure to IoT and digital twin technologies
• Exposure in Python and/or R
• Experience contributing to or supporting AI/ML initiatives
• Knowledge of GxP processes and regulated environments
• Relevant professional certifications (e.g., PMP, PM/PO, CSPO, SAFe) are a plus
• Domain certifications in supply chain, manufacturing, quality, or finance

Key Competencies

• Strategic thinking and product vision
• Leadership and team management
• Data-driven decision making
• Ability to operate in complex enterprise environments
• Strong collaboration across cross-functional teams

Education

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related field

Why Join Us

• Opportunity to lead enterprise-scale digital and data transformation initiatives
• Work at the intersection of data, AI, and automation
• Collaborative and innovation-driven work environment
• Strong career growth and leadership opportunities

Experience Level

Senior Level