Sr. Director, Data & AI Portfolio Management

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

Within Danaher the work our diagnostic businesses do saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

We're accelerating the development of cutting-edge diagnostics to solve some of the world's most pressing health challenges. Across our diagnostics operating companies we are driving innovation through partnerships with top academic institutions and leading players in biopharma and translational research. We're bringing the best minds together to accelerate innovation and unlock the full potential of the latest scientific advances. Together, we're expanding access to precision diagnostics for millions of people worldwide - and we're using our unmatched global scale and proven playbook to make it happen, from hospital labs to mobile clinics.

By helping providers, patients, and families get faster, more precise diagnostic results, we're improving treatment options and saving lives.

Learn about the Danaher Business System which makes everything possible.

The Sr. Director, Data & AI Portfolio Management is a high-impact, enterprise strategy role, focused on defining and shaping how data and AI enhance product innovation, tailored clinical evidence, and lead to commercial value across the diagnostic businesses. You will assess, analyze, align, architect and guide execution of end-to-end data and AI strategies, connecting instrument data, clinical workflows, real-world data, and AI into scalable, differentiated capabilities across oncology, neurodegenerative disease, and infectious disease/acute care.

The role requires a leader who has developed and operationalized digital and data transformation strategies at scale, able to work hands on, at the same time, able to influence executive stakeholders and reach alignment as well as manage change across a complex, multi-OpCo environment.

This position reports to the Vice President, Chief Data Officer and is part of the Danaher Diagnostics Chief Innovation Office and will be fully remote.

In this role, you will have the opportunity to:

• Act as a senior strategic advisor to the CDO and Chief Innovation Office, as well as Opco presidents and Data and AI leaders in the different businesses shaping enterprise Data & AI priorities.
• Define and cocreate platform-wide data and AI strategies, executional roadmaps and solutions and architectures, spanning instrument telemetry, enterprise data platforms, and clinical/RWD ecosystems.
• Be a leading voice to influence investment decisions, cocreate use case portfolios, and help to form business cases tied to Danaher value drivers.
• Architect scalable, enterprise data ecosystems, including:
  • Instrument and signal-level data to cloud platforms
  • Federated, cross-OpCo data integration (imaging, omics, clinical, claims)
  • Customer data feeds and clinical workflow integration
• Define how AI is applied across:
  • R&D: assay optimization, instrument signal analytics
  • Clinical: biomarker validation, multimodal modeling
  • Commercial: RWE, claims expansion, adoption analytics

The essential requirements of the job include:

• Advanced degree (PhD preferred) in Data Science, Biomedical Engineering, Life Sciences, or related field.
• 15+ years of experience in Data & AI strategy, digital transformation, or advanced analytics within pharma, medtech, diagnostics, or healthcare.

• Strong preference for experience at leading strategy consulting firms (e.g., McKinsey, BCG, Bain) with demonstrated work in:
  • Developing and executing data, digital, and AI transformation strategies
  • Advising senior executives in pharma, medtech, or healthcare organizations
• Proven track record as a strategic architect of enterprise data platforms and AI initiatives, including:
  • Instrument or device data ecosystems and telemetry
  • Clinical and real-world data (EHR, claims, registries) integration
  • Clinical decision support

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