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$275k–$300k/yr
Full-time
postgraduate degree
Paid Time Off, Medical Insurance, Dental Insurance, Vision Insurance, 401(k)
Posted 24d ago
~40 hrs/week
Remote in United States
Responsibilities
Define and execute enterprise-wide data and AI strategies to enhance product innovation and commercial value across diagnostic businesses. Act as a senior strategic advisor to the CDO and executive leadership to architect scalable data ecosystems and AI use cases.
Requirements
Requires an advanced degree (PhD preferred) and over 15 years of experience in data/AI strategy within pharma, medtech, or healthcare. Strong preference for candidates with a background in top-tier strategy consulting and a proven track record of architecting enterprise data platforms.
Full job description
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.
The Sr. Director Data & AI Portfolio Manager 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
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
Strong conceptual understanding of:
AI/ML (including multimodal AI and LLMs)
Modern data architectures (cloud, lakehouse, federated data models)
Travel, Motor Vehicle Record & Physical/Environment Requirements:if applicable for role
Ability to travel – 25-35%
It would be a plus if you also possess previous experience in:
Domain expertise in oncology, neurodegenerative disease, and/or infectious disease/acute care
Experience with digital pathology, signal-level analytics, and multimodal data integration
Exposure to HEOR/RWE and claims expansion strategies
Within Danaher Diagnostics, we offer a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
Within Danaher Diagnostics we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working within Danaher Diagnostics can provide.
The annual salary range for this role is $275,000 - $300,000 This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for bonus/incentive pay.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here
We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or [email protected].
Related keywords
Data ScienceBiomedical EngineeringLife SciencesDiagnosticsMedtechPharmaMcKinseyBCGBainTelemetryEHRClaims DataLakehouseFederated Data ModelsOncologyNeurodegenerative Disease