Senior Product Owner – Enterprise Finance AI

Work Schedule

Environmental Conditions

Job Description

Thermo Fisher Scientific Inc. is the global leader in scientific solutions generating an annual revenue of around $40 billion. Our Mission is to empower our customers to enhance global health environmental cleanliness and safety. Whether our customers are expediting research in life sciences resolving intricate analytical issues improving laboratory efficiency advancing patient well-being through diagnostics or pioneering life-altering therapies we are committed to providing unwavering support.

Our Automation AI and Data (AAD) team empowers Thermo Fisher colleagues to integrate cutting-edge digital solutions into their daily workflows enhancing innovation and efficiency. Our goal is to democratize automation AI and data remove bottlenecks and to bring clarity to new ways of working that prepare us for the future. By leveraging these advancements we are better equipped to serve our customers and support our mission to make the world healthier cleaner and safer.

• Own the product vision roadmap and backlog for AI solutions supporting Enterprise Finance.
• Partner with FP&A Accounting Controllership Tax Treasury Shared Services and Finance Operations teams to identify high-value AI opportunities.
• Translate business needs into product requirements user stories and acceptance criteria.
• Collaborate with Digital Technology Data & AI Product Management and Engineering teams to deliver enterprise AI solutions.
• Drive adoption through stakeholder engagement change management and value realization.
• Define KPIs and continuously measure business impact and product success.

• 10 years of overall experience in Enterprise scale Digital product development and delivery
• 3 years of experience as a product owner business analyst data analyst technology analyst or agile delivery lead working on data analytics automation or digital products.
• Strong knowledge of Finance processes including Record-to-Report Procure-to-Pay Order-to-Cash FP&A Financial Close Reporting and SOX/Internal Controls.
• Experience with enterprise Finance platforms such as SAP S/4HANA Oracle Workday OneStream Hyperion Anaplan or BlackLine.
• Working knowledge of Generative AI Agentic AI Microsoft Copilot Azure AI APIs and enterprise data platforms.
• Experience working in Agile/Scrum environments with cross-functional teams.
• Comfortable with data and AI concepts: source systems data quality data pipelines semantic layers dashboards APIs LLMs agents prompts human-in-the-loop workflows and responsible AI controls.
• Hands-on experience with tools and platforms such as Jira Power BI SQL Excel process mapping tools or similar product and analytics platforms.
• Excellent stakeholder management communication and business consulting skills.
• Strong facilitation and communication skills; able to synthesize decisions and keep technical and non-technical stakeholders aligned.
• Practical orientation toward measurable outcomes: adoption usability workflow fit value realization and scaling what works.
• Preferred: exposure to cloud data platforms lakehouse/warehouse concepts finance workflows in large Enterprises with global teams

• Bachelors degree in Business Analytics Information Systems Computer Science or a related field; equivalent practical experience will be considered.

• Experience delivering AI within Enterprise Finance.
• Familiarity with Microsoft Fabric Power Platform and Microsoft 365 ecosystem.
• CSPO SAFe Product Owner/Product Manager or similar certification.

Combines deep Finance domain expertise with product ownership and AI knowledge to identify high-impact opportunities and deliver secure scalable AI solutions that create measurable business value for Thermo Fisher Scientific.

Thermo Fisher Scientific Inc. is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veteran status or any other characteristic protected by law.