Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

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 an experienced Data & AI Product Owner to lead digital, data, and automation initiatives within the Finance and Commercial domain. This role will focus on driving data-driven products, enabling advanced analytics, and delivering business value through AI and automation solutions.

Experience Required

10+ years of overall professional experience
5+ years of experience as a Product Owner or similar role
Strong expertise in Finance and Commercial domain
Proven experience in driving projects independently

Key Responsibilities

Define and own product vision, roadmap, and strategy for data, AI, and automation initiatives
Collaborate with Finance and Commercial stakeholders (FP&A, Controllership, Sales, Pricing, Marketing) to identify and prioritize high-impact use cases
Drive Finance use cases such as financial planning & forecasting (FP&A), budgeting, variance analysis, profitability analysis, working capital optimization, and financial reporting automation
Drive Commercial use cases such as pricing optimization, revenue management, sales performance analytics, customer segmentation, demand forecasting, and campaign effectiveness
Enable development of data products that support revenue growth, margin improvement, and cost optimization
Lead Agile product development using Scrum, including backlog creation, grooming, and prioritization
Drive sprint planning, execution, and delivery with cross-functional teams
Translate business requirements into user stories and acceptance criteria
Ensure delivery of scalable, high-quality data and analytics solutions
Define and track KPIs such as revenue uplift, margin improvement, forecast accuracy, and process efficiency gains
Drive adoption of digital technologies including IoT and digital twins where relevant
Act as a bridge between business, data, and technology teams

Required Skills & Qualifications

Strong understanding of Agile and Scrum methodologies
Proven expertise in backlog management and working with Scrum teams
Experience with data engineering and ETL/ELT processes
Basic understanding of cloud platforms (AWS, Azure) and scalable computing
Good understanding of data platforms, data processing, and pipelines
Experience with ERP systems, preferably SAP
Hands-on experience with:

SQL
Data visualization tools (Power BI, Tableau)

Strong analytical and problem-solving skills
Excellent stakeholder management and communication skills

Preferred Qualifications

Exposure to IoT and digital twin technologies
Basic programming knowledge in Python or R
Experience contributing to AI/ML initiatives
Relevant professional certifications (e.g., PM/PO, CSPO, SAFe) are a plus
Domain certifications in Finance or Commercial areas
Knowledge of GxP processes and regulated environments

Key Competencies

Strategic thinking and product mindset
Strong business acumen in Finance and Commercial functions
Data-driven decision making
Ability to work independently and manage complex initiatives
Strong collaboration across cross-functional teams

Education

Bachelor's or Master's degree in Business, Finance, Engineering, Computer Science, or related field

Why Join Us

Opportunity to drive data and AI transformation in Finance and Commercial domains
Work on impactful, enterprise-scale initiatives
Collaborative and innovation-driven environment
Strong career growth opportunities

Data & AI Product Owner – Finance & Commercial