Product Owner Advanced Analytics for Commercial Domain
02 April 2026
100%
Permanent position
Basel
About the job
<p><b>Product Owner Advanced Analytics – Commercial</b></p><p></p><p><b>Abbott | Established Pharma Division (EPD), Basel HQ</b></p><p></p><p><b>About Abbott</b></p><p></p><p>At <b>Abbott</b>, we help people live fuller lives through better health. With more than <b>107,000 colleagues across 160+ countries</b>, our work combines science, innovation, and care to improve health at every stage of life.</p><p></p><p>Within our <b>Branded Generics</b> business, we make trusted, high‑quality medicines accessible to more than <b>18 million people every day</b>, particularly in fast‑growing regions such as <b>LATAM, APAC, India, and Emerging Markets</b>. Our broad portfolio spans <b>Women’s Health, Gastroenterology, Cardiometabolic, CNS & Pain, and Respiratory</b>, addressing meaningful and often unmet patient needs worldwide.</p><p></p><p>At Abbott, <b>diverse perspectives strengthen our science, our decisions, and our impact</b>. We are committed to creating an environment where people feel respected, supported, and empowered to contribute and grow.</p><p></p><p><b>The Opportunity</b></p><p></p><p>We are looking for a <b>Product Owner, Advanced Analytics – Commercial</b> to join our central Advanced Analytics team at <b>EPD Headquarters in Basel</b>.</p><p>This role sits at the heart of Abbott EPD’s transformation into a <b>data‑ and AI‑driven organization</b>. As the Product Owner for Commercial Analytics, you will lead AI, Advanced Analytics, and GenAI initiatives that support <b>Commercial Excellence, regional affiliates, and Finance</b>, directly influencing business performance and decision‑making at a global scale.</p><p>You will work closely with senior leaders, data scientists, engineers, and commercial stakeholders in a highly collaborative, international environment — shaping strategy while ensuring solutions are practical, adopted, and impactful.</p><p></p><p><b>Your Impact</b></p><p></p><p>As a core contributor within the <b>Strategy Management Office</b> and a trusted partner to the <b>EPD Senior Leadership Team</b>, you will help translate complex data capabilities into clear business value.</p><p>This is a role for someone who enjoys <b>connecting people, strategy, and technology</b>, and who finds purpose in enabling others to make better, more confident decisions through data.</p><p></p><p><b>What You’ll Do</b></p><p></p><p><b>Drive Commercial Innovation & Transformation</b></p><ul><li><p>Own the <b>commercial advanced analytics portfolio</b>, ensuring AI and analytics initiatives align with strategy and deliver measurable value</p></li><li><p>Partner with business teams, data scientists, and engineers to understand challenges and co‑create analytical solutions</p></li><li><p>Shape and communicate a clear product vision for analytics initiatives, from problem definition through delivery and adoption</p></li><li><p>Help build analytics and data literacy capabilities across the organization, supporting a strong, inclusive data‑driven culture</p></li></ul><p></p><p><b>Build Strong Stakeholder Partnerships</b></p><ul><li><p>Act as the <b>primary point of connection</b> for Commercial stakeholders on all advanced analytics initiatives</p></li><li><p>Facilitate alignment on priorities, scope, and roadmap through structured governance and open dialogue</p></li><li><p>Lead and support workshops, steering committees, and executive discussions</p></li><li><p>Coach and support stakeholders as they navigate AI, machine learning, and data‑driven ways of working</p></li></ul><p></p><p><b>Deliver Impactful AI & Analytics Solutions</b></p><ul><li><p>Lead cross‑functional Data Science and Data Engineering teams using <b>agile ways of working</b></p></li><li><p>Oversee delivery by managing milestones, dependencies, and risks collaboratively</p></li><li><p>Ensure analytics solutions are designed with the end user in mind, including clear user journeys and practical adoption plans</p></li><li><p>Balance technical understanding with business impact, helping teams choose the right analytical approach for each challenge</p></li></ul><p></p><p><b>What You Bring</b></p><p></p><p><b>Experience & Skills</b></p><ul><li><p>A relevant degree in technology, mathematics, science, business, or a related field</p></li><li><p>Around <b>4–5 years of experience as a Product Owner or similar role</b>, working with advanced analytics, AI, or data‑driven solutions</p></li><li><p>Experience delivering machine learning or data science initiatives in medium to large organizations</p></li><li><p>Strong communication skills, with the ability to engage and influence senior stakeholders across functions and regions</p></li><li><p>Comfort working in <b>multicultural, international environments</b>, including with remote teams</p></li></ul><p></p><p><b>What Helps You Thrive</b></p><ul><li><p>You enjoy <b>collaboration and learning</b>, not just execution</p></li><li><p>You can translate complex topics into clear, accessible insights</p></li><li><p>You are organized but flexible, able to adjust priorities as business needs evolve</p></li><li><p>You value teamwork, inclusion, and shared success</p></li></ul><p><i>We recognize that candidates may not meet every requirement listed. If this role aligns with your experience and aspirations, we encourage you to apply.</i></p><p></p><p><b>Why Join Abbott</b></p><ul><li><p>Purpose‑driven work that improves access to healthcare worldwide</p></li><li><p>A culture that values <b>diversity, inclusion, and thoughtful leadership</b></p></li><li><p>Opportunities for international exposure, collaboration, and career growth</p></li><li><p>An environment where <b>your voice, expertise, and perspective matter</b></p></li></ul><p></p><p>Abbott is proud to be an <b>Equal Opportunity Employer</b>, committed to building teams that reflect the patients and communities we serve.</p><p></p><p><b>Ready to Apply?</b></p><p>If this opportunity excites you, we would love to hear from you.<br />Please submit your <b>CV as a PDF</b>.</p><p></p>
