Vice President, Commercial Technology

Danaher•Round Rock, TX

21h•Remote

About The Position

The Vice President, Commercial Technology is a newly established role for a strategic and dynamic leader to drive a groundbreaking transformation across our Commercial and Services function. This role will be responsible for (1) modernizing customer success through AI and data, (2) driving Enterprise-wide alignment and execution across a heterogeneous ecosystem of operating companies, and (3) integrating the technology platform, AI and data strategy and execution of Commercial and Services into a unified, high-performing function. This position is part of the Danaher AI leadership team and reports to the Chief Technology & AI Officer, and will be located Remote.

Requirements

Advanced degree in a relevant area (e.g. Computer Science, Physics, Applied Math, Machine Learning, Biological Sciences) or background in Strategy, Economics, Commercial operations etc. and demonstrated experience successfully applying this in the high-tech/digital domain.
15+ years of experience in technology-driven service and commercial operations, business process optimization, and similar areas.
Deep familiarity with Salesforce and other tools, including modern features such as AgentForce or similar stacks.
Outstanding technical understanding of machine learning, AI, generative AI, and proven ability to bring those technologies to business impact.
Experience driving business transformation and organizational change through data and technology.
Outstanding communication and negotiation ability, including to influence and align multiple stakeholders.
Strong executive presence, and excellent ability to communicate horizontally across disciplines and vertically both with technical individual contributors as well as Executives, ability to reduce ambiguity effectively and arrive at high clarity on product goals and project roadmaps with stakeholder alignment.

Nice To Haves

Experience managing a P&L or a cost center
Experience in consulting, and/or an MBA is a plus
Experience in the healthcare and life sciences sector
Digital transformation, ideally in large Enterprise/Conglomerate structures
Cultural transformation, including change management to modernize workflows

Responsibilities

Define and execute an AI-centric strategy to modernize customer engagement, service delivery, and commercial effectiveness. This includes sales and marketing, remote and onsite customer support, predictive maintenance and device analytics, and related areas.
Develop and implement a cohesive and scalable strategy for Commercial and Service across Danaher with a Hub & Spoke approach, centralizing shared components and decentralizing specialized requirements at Groups and Operating Companies.
Own the technology platform for Commercial and Service operations and eCommerce technology across Danaher, including Customer Relationship Management (CRM), Content Management System (CMS), Product Information Management (PIM), Search Engine Optimization (SEO) and other key systems. Drive the alignment across Danaher operating companies towards a homogeneous technology stack that leverages scale yet provides sector specificity as needed.
Build and drive the vision for bringing modern technology such as machine learning, generative AI, and agentic workflows into existing functions, inform the technical requirements and roadmap to fully leverage those technologies. Stay abreast of the rapidly developing technology landscape, inform build vs buy vs partner decisions, and help Danaher to stay in a leading position for using modern technology for business success.
Drive alignment in a complex, multi-stakeholder environment with differing priorities – including across stakeholders in commercial functions and service functions and business leaders at Operating Companies, to participate in this transformation towards the global optimum for Danaher.
Manage Danaher's investments of talent, capital, and other resources to maximize the ROI of this initiative across Danaher. Build and refine KPI and ROI frameworks to forecast impact, track progress, and make data-driven decisions about strategy changes and project portfolio rebalancing – including the balance of incremental changes versus high-risk transformational bets.
Drive cross-functional collaboration to eliminate silos and foster a culture of shared success. Manage change and organizational adoption of data and technology towards long-term sustained success.
Work with peers in the AI function and beyond in a highly collaborative way to share technology, learnings, and data across adjacent areas and leverage synergies.