Senior Product Owner Advanced Analytics

JOB DESCRIPTION:

Abbott | Established Pharmaceuticals Division

At Abbott, we believe people can live fuller lives through better health. Every day, our medicines and technologies help millions of people around the world manage health conditions, overcome barriers to care, and achieve better outcomes.

Within our Branded Generics business, we provide trusted, high-quality medicines to more than 18 million people daily across Latin America, Asia-Pacific, India, and other emerging markets. Our portfolio spans areas including Women's Health, Gastroenterology, Cardiometabolic Health, CNS & Pain, and Respiratory Care, helping address some of healthcare's most pressing needs.

Abbott Established Pharmaceutical Division (EPD) is looking for a

Senior Product Owner Advanced Analytics

for its global Pharma Division Headquarter based in Allschwil-Basel.

About the Opportunity

The central Advanced Analytics team at Abbott Established Pharmaceuticals Division's (EPD) headquarters in Basel is a driving force behind our journey to become a data-driven organization. We harness data, Artificial Intelligence (AI), and Advanced Analytics to unlock business value, accelerate innovation, and support sustainable growth across our global organization.

As a Senior Product Owner Advanced Analytics, you will play a pivotal role in driving the successful identification, development, and adoption of Advanced Analytics and Machine Learning solutions across EPD. Working closely with stakeholders across functions such as Market Insights, Market Access, Finance, Supply Chain, and Commercial Operations, you will translate complex business challenges into impactful data-driven solutions that support strategic decision-making and measurable business outcomes.

This role serves as a critical bridge between business strategy and analytics execution, ensuring that Advanced Analytics capabilities are aligned with EPD priorities and deliver sustainable value to the organization.

Core Job Responsibilities

• Own and continuously evolve the Advanced Analytics product portfolio and roadmap in alignment with EPD strategic priorities.
• Identify opportunities where Machine Learning, AI, and Advanced Analytics can drive business value, improve performance, and support organizational transformation.
• Translate complex business challenges into scalable analytics solutions with measurable outcomes.
• Lead end-to-end problem definition and recommend the most appropriate AI, Machine Learning, or Advanced Analytics approach.
• Maintain a holistic view of the project portfolio, ensuring alignment with the overall Advanced Analytics roadmap and business objectives.
• Support budget planning, resource allocation, and prioritization decisions for analytics initiatives.
• Drive awareness and understanding of Advanced Analytics capabilities across the EPD organization.

• Serve as a trusted advisor to business leaders and stakeholders across multiple functions.
• Build and maintain strong partnerships with key stakeholders, subject matter experts, and sponsors to ensure successful project execution and solution adoption.
• Facilitate workshops, stakeholder engagements, and project planning sessions to identify business opportunities and align priorities.
• Coach stakeholders to confidently navigate and leverage Machine Learning and data-driven decision-making.
• Drive adoption of Advanced Analytics solutions through effective change management and communication strategies.
• Champion a culture of innovation, continuous learning, and data-driven decision-making across EPD.

• Lead cross-functional teams consisting of Data Scientists, Data Engineers, and business stakeholders to deliver Advanced Analytics solutions.
• Manage the full product lifecycle from opportunity identification and discovery through deployment, scaling, and continuous improvement.
• Drive agile delivery methodologies, sprint planning, and backlog prioritization.
• Ensure timely execution of projects by actively managing milestones, risks, assumptions, issues, and dependencies.
• Define user journeys and business requirements in collaboration with stakeholders.
• Ensure solutions are scalable, sustainable, and deliver a positive end-user experience.
• Collaborate with internal and external partners to achieve project objectives and maximize business impact.

• Establish and maintain governance structures that ensure transparency, accountability, and alignment with business priorities.
• Monitor solution performance, adoption, and value realization against defined success metrics.
• Ensure compliance with project standards, documentation requirements, and enterprise governance processes.
• Support responsible use of AI and data, including adherence to privacy, security, and compliance requirements.
• Evaluate project outcomes and recommend portfolio adjustments to maximize business value and return on investment.
• Ensure alignment with enterprise technology, data, and analytics standards.

Requirements & Qualifications

• Bachelor's or Master's degree in Technology, Mathematics, Data Science, Statistics, Engineering, Business, Life Sciences, or a related discipline.
• Demonstrated ability to communicate modern data technologies and analytics concepts within complex international organizations.
• 5-7 years of Product Owner or Product Management experience within Advanced Analytics, Data Science, AI, Digital, or Data Transformation environments.
• Proven track record of successfully leading and delivering Machine Learning and Data Science initiatives.
• Strong understanding of the Machine Learning lifecycle, Advanced Analytics methodologies, cloud technologies, and end-to-end data ecosystems.
• Experience managing cross-functional teams and working within agile delivery environments.
• Demonstrated success driving organizational change, capability-building, and solution adoption.
• Exceptional stakeholder management and communication skills, including engagement with senior executives and leadership teams.
• Ability to structure complex business problems into actionable analytics opportunities and business cases.
• Experience with project planning and collaboration tools such as Jira, Confluence, and Microsoft Teams.
• Proven ability to build partnerships across global and remote teams.
• Self-starter with strong organizational skills and the ability to manage multiple priorities in a dynamic environment.
• Strong team player with the ability to influence and align diverse stakeholder groups toward common objectives.
• Fluent in English; additional languages are considered an asset.
• Experience in healthcare, pharmaceuticals, or other highly regulated industries is advantageous.

Working at Abbott

At Abbott, you can do work that matters and help people to live a healthier and full life, grow your career, and learn, be your true self. You will have access to:

• Career development with an international company where you can grow the career you dream of
• Competitive compensations and benefits
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
• A challenging position in a fast-growing crisis independent industry
• To become part of a dynamic, highly educated, highly skilled, and motivated team
• Flat hierarchies, open appreciative mentality, and efficient, constructive lines of communication
• Multi-national environment, where we foster the development of our talents within the enterprise

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on LinkedIn https://www.linkedin.com/company/abbott-/ Facebook at www.facebook.com/Abbott and on X @AbbottNews and @AbbottGlobal.

The base pay for this position is

In specific locations, the pay range may vary from the range posted.

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