Senior Product Owner Advanced Analytics

Abbott; Schweiz; On-site; CHF 120,000 - 180,000; Full time

Job summary

Abbott Established Pharmaceuticals Division (EPD) in Basel is seeking a Senior Product Owner for Advanced Analytics to lead the development and adoption of data-driven solutions across the organization.

You will translate complex business challenges into actionable ML and analytics initiatives, collaborating with Market Insights, Finance, Supply Chain, and Commercial Operations to deliver measurable outcomes.

Qualifications

• Senior Product Owner with focus on Advanced Analytics and ML.
• Experience translating business challenges into data-driven solutions.
• Strong collaboration with cross-functional teams and stakeholders.

Responsibilities

• Lead cross-functional teams of data scientists, data engineers, and business stakeholders to deliver Advanced Analytics solutions.
• Own and evolve the Advanced Analytics product portfolio and roadmap in alignment with EPD strategic priorities.
• Translate complex business challenges into scalable analytics solutions with measurable outcomes.
• Lead end-to-end problem definition and recommend appropriate AI/ML/Analytics approaches.
• Maintain a holistic view of the project portfolio, ensuring alignment with the roadmap and business objectives.

Skills

Advanced Analytics

Machine Learning

Stakeholder Management

Agile Delivery

Job description

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

Strategic Analytics Leadership & Innovation

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.

Business Partnership & Transformation

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.

Product Execution & Delivery

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.

Governance, Risk & Value Management

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