Data & AI Product Lead

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 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 Required15+ years of overall professional experience8+ years of experience as a Product Owner or in a similar product leadership roleGood experience in leading Product Management / Product Owner teamsKey ResponsibilitiesDefine and own product vision, strategy, and roadmap for data, AI, and automation initiativesCollaborate with cross-functional stakeholders to identify and prioritize digital opportunitiesLead Agile product development (Scrum/SAFe), including backlog management, sprint planning, and prioritizationTranslate business requirements into clear user stories and acceptance criteriaDrive adoption of digital technologies including IoT and digital twins where applicableEnsure delivery of scalable, high-quality data and automation solutionsDefine KPIs and success metrics to measure product performance and business impactAct as a bridge between business stakeholders, engineering teams, and data/analytics teamsDomain ExpertiseCandidates must have expertise in at least two of the following domains:Finance and CommercialSupply ChainQualityManufacturing / OperationsRequired Skills & QualificationsStrong understanding of data platforms, data pipelines, and scalable computing architecturesExperience with cloud infrastructure (AWS and/or Azure)Experience with data engineering and ETL/ELT processesExperience with ERP systems, preferably SAPHands-on experience with:SQLData visualization tools (Power BI, Tableau)Strong understanding of data processing and pipeline designSolid knowledge of Agile methodologiesExcellent stakeholder management and communication skillsStrong analytical and problem-solving abilitiesPreferred QualificationsExposure to IoT and digital twin technologiesExposure in Python and/or RExperience contributing to or supporting AI/ML initiativesKnowledge of GxP processes and regulated environmentsRelevant professional certifications (e.g., PMP, PM/PO, CSPO, SAFe) are a plusDomain certifications in supply chain, manufacturing, quality, or financeKey CompetenciesStrategic thinking and product visionLeadership and team managementData-driven decision makingAbility to operate in complex enterprise environmentsStrong collaboration across cross-functional teamsEducationBachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related fieldWhy Join UsOpportunity to lead enterprise-scale digital and data transformation initiativesWork at the intersection of data, AI, and automationCollaborative and innovation-driven work environmentStrong career growth and leadership opportunities