Data & AI Product Owner – Quality

Job description

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 an experienced Data & AI Product Owner to lead digital, data, and automation initiatives within the Quality domain . This role will focus on enabling data-driven quality processes, improving compliance and operational excellence, 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 Quality domain Proven experience in driving projects independently Key Responsibilities Define and own product vision, roadmap, and strategy for data, AI, and automation initiatives Experience with data engineering and ETL/ELT processes Collaborate with Quality stakeholders to identify high-impact use cases (deviations, CAPA, audits, complaints, batch release, quality analytics) 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 Drive adoption of digital technologies including IoT and digital twins where relevant Define KPIs and success metrics to measure product performance and business impact Act as a bridge between business, data, and technology teams Required Skills & Qualifications Strong knowledge and hands-on experience with GxP processes and compliance requirements Proven experience in ensuring regulatory compliance and working in regulated environments Experience with ERP systems, preferably SAP Strong understanding of Agile and Scrum methodologies Proven expertise in backlog management and working with Scrum teams Basic understanding of cloud platforms (AWS, Azure) and scalable computing Good understanding of data platforms, data processing, and pipelines Hands-on experience with: SQL Data visualization tools (Power BI, Tableau) Strong analytical and problem-solving skills Excellent stakeholder management, communication skills and relationship building skills Preferred Qualifications Exposure to IoT and digital twin technologies Basic programming knowledge in Python or R Experience contributing to AI/ML initiatives (quality prediction, anomaly detection, root cause analysis) Relevant professional certifications (e.g., PM/PO, CSPO, SAFe) are a plus Domain certifications in Quality (e.g., Six Sigma, Lean, ASQ) Key Competencies Strategic thinking and product mindset Strong business acumen in Quality processes 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 Engineering, Quality, Life Sciences, Computer Science, or related field Why Join Us Opportunity to drive data and AI transformation in Quality domain Work on impactful, enterprise-scale initiatives Collaborative and innovation-driven environment Strong career growth opportunities