VP Data and Execution, Danaher Diagnostics

Job Description

The family of Diagnostics companies at Danaher work with conviction that every moment matters and realize that behind every test is a patient, waiting for an answer that could change their life. Our 23,000 team members, across 6 operating companies globally, proudly push the boundaries of what’s possible in safeguarding patient health and improving diagnostic confidence. We develop tools and technologies that set the standard for innovation and impact wherever health care happens—from a family physician’s office to leading trauma hospitals and laboratories. Our teams collaborate in an inclusive environment as we connect our people, processes, and expertise, focused on the world’s biggest health challenges such as cardiac disease, infectious disease, and cancer. At the Diagnostics platform at Danaher, you’ll thrive and quickly see the impact of your contribution. 

Join us in working at the pace of change to improve patient lives! 

The VP, Data and Execution, Danaher Diagnostics, will have 2 main responsibilities:

• Build a central group for Data Sciences and AI aiming to integrate solutions into core workflows of the platform establishing efficiency, R&D acceleration as well as value creation for operating companies across lifecycle of discovery, development and launch; and
• Overseeing the buildup of executional excellence of the platform group, thereby focusing on establishment of core governance and communication platforms of L1, cocreating and overseeing the groups executional roadmap, as well as Clinical research teams and process excellence for Research review, budget prioritization as well as  tracking of KPIs

Reporting to the Chief Innovation Officer (CIO), Danaher Diagnostics, this position will be fully remote. 

Specific duties include but are not limited to:

Data:

• Oversee the buildup of a Data competence at platform connecting with DXLT and presidents of operating companies understanding operating models, needs, maturity of data use
• Acts as an effective advocate and catalyst for driving data-driven value across the biomarker innovation value chain by collaborative engagement with internal Danaher stakeholders including Senior Leadership, CSOs, medical affairs, clinical operations, regulatory affairs, HEOR and Market Access and marketing.
• Expert recommending and catalyzing organizational transformation using automation, Data and AI in different use cases, from discovery to development and commercialization.
• Governance and establishing community of practice of Data initiatives across the platform and operating companies elevating agility, establishing organizational learning and suggesting efficient end to end solutions.
• Ability to decide which business process can benefit from data and digital across Danaher Diagnostics OpCos and functional matrix (e.g. HEOR, clinical affairs)
• Build out and operate a data team, that delivers solutions to the Danaher Diagnostics OpCos for data research, data engineering, and clinical investigations; ensure proper change management throughout the process while building organizational talent with stamina and resilience to start-up and sustain the data capabilities. Also, represent Danaher Dx in different data forums.
• Understand needs as well as resources available at operating companies to connect experts, define vison and priorities and execute in tandem with existing businesses.

Execution:

• Act as Chief of Staff to the CIO managing the ambition roadmap as well as L1 exchange choreography in close partnership with the CIO.
• Build and oversee an executional excellence roadmap in close partnership with the VP of Process excellence and Operations reporting to this role
• Establish clinical research review for a community of clinical science and external partnership exchange of the core medical and R&D group
• Oversee finance and build a robust controlling oversight in partnership with Finance aligned with cost center structure and group specific budgets
• Lead the SIR/GIR portfolio prioritization exercises with help of internal forecasting
• Help establish more robust oversight on external Research collaborations incl their prioritization

The essential requirements of the job include:

• Advanced degree(s) (Ph.D. and/or MD) (in mathematics, biostatistics, bioinformatic