Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionAs 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.DescriptionWe 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 Required10+ years of overall professional experience5+ years of experience as a Product Owner or similar roleStrong expertise in Finance and Commercial domainProven experience in driving projects independentlyKey ResponsibilitiesDefine and own product vision, roadmap, and strategy for data, AI, and automation initiativesCollaborate with Finance and Commercial stakeholders (FP&A, Controllership, Sales, Pricing, Marketing) to identify and prioritize high-impact use casesDrive Finance use cases such as financial planning & forecasting (FP&A), budgeting, variance analysis, profitability analysis, working capital optimization, and financial reporting automationDrive Commercial use cases such as pricing optimization, revenue management, sales performance analytics, customer segmentation, demand forecasting, and campaign effectivenessEnable development of data products that support revenue growth, margin improvement, and cost optimizationLead Agile product development using Scrum, including backlog creation, grooming, and prioritizationDrive sprint planning, execution, and delivery with cross-functional teamsTranslate business requirements into user stories and acceptance criteriaEnsure delivery of scalable, high-quality data and analytics solutionsDefine and track KPIs such as revenue uplift, margin improvement, forecast accuracy, and process efficiency gainsDrive adoption of digital technologies including IoT and digital twins where relevantAct as a bridge between business, data, and technology teamsRequired Skills & QualificationsStrong understanding of Agile and Scrum methodologiesProven expertise in backlog management and working with Scrum teamsExperience with data engineering and ETL/ELT processesBasic understanding of cloud platforms (AWS, Azure) and scalable computingGood understanding of data platforms, data processing, and pipelinesExperience with ERP systems, preferably SAPHands-on experience with:SQLData visualization tools (Power BI, Tableau)Strong analytical and problem-solving skillsExcellent stakeholder management and communication skillsPreferred QualificationsExposure to IoT and digital twin technologiesBasic programming knowledge in Python or RExperience contributing to AI/ML initiativesRelevant professional certifications (e.g., PM/PO, CSPO, SAFe) are a plusDomain certifications in Finance or Commercial areasKnowledge of GxP processes and regulated environmentsKey CompetenciesStrategic thinking and product mindsetStrong business acumen in Finance and Commercial functionsData-driven decision makingAbility to work independently and manage complex initiativesStrong collaboration across cross-functional teamsEducationBachelor’s or Master’s degree in Business, Finance, Engineering, Computer Science, or related fieldWhy Join UsOpportunity to drive data and AI transformation in Finance and Commercial domainsWork on impactful, enterprise-scale initiativesCollaborative and innovation-driven environmentStrong career growth opportunities