You will define the future of Thermo Fisher's commercial digital experience by establishing an integrated product strategy connecting Sales technology, Marketing Technology, the Commercial Insights Platform, enterprise data, analytics, AI, and emerging agentic capabilities.

You will ensure technology investments are driven by commercial strategy and build toward scalable enterprise capabilities rather than disconnected solutions. Working across businesses and functions, you will translate advances in AI and technology into practical capabilities that improve commercial productivity, customer engagement, opportunity identification, decision-making, and revenue growth.

Commercial AI & Digital Product Strategy

• Establish and communicate the Commercial AI & Digital Product North Star, defining how Sales technology, Marketing technology, commercial insights, data, analytics, AI, and digital capabilities come together to enable the future commercial organization.
• Own the multi-year integrated product strategy and capability roadmap, translating business priorities and emerging technologies into clear priorities, sequencing, dependencies, and investment requirements.
• Establish enterprise product principles and decision frameworks that balance near-term business value with scalability, reuse, governance, interoperability, and long-term strategic value.

Lead Commercial AI Product Strategy

• Define the product strategy for applying generative AI, predictive intelligence, and agentic capabilities across Sales and Commercial workflows.
• Translate advancements in AI into practical capabilities that improve productivity, generate insights, identify opportunities, recommend next-best actions, and increasingly automate commercial work.
• Establish a disciplined approach for identifying, testing, measuring, governing, and scaling the highest-value AI use cases across Thermo Fisher.

Define the Future Commercial Experience

• Develop the product vision for how AI, commercial insights, customer and commercial data, Salesforce, collaboration technologies, and analytics come together to create a differentiated commercial experience.
• Partner directly with Sales, Commercial, Marketing, and business teams to understand workflows and needs and translate them into scalable enterprise capabilities.
• Embed intelligence, recommendations, and automation into the tools and workflows commercial colleagues use to prepare for customers, identify opportunities, collaborate, make decisions, and execute actions.

Commercial Insights Platform

• Provide strategic product leadership for the Commercial Insights Platform, establishing it as the enterprise capability for delivering actionable customer, account, opportunity, market, and commercial intelligence.
• Define how internal and external data, digital activity, customer content, competitive intelligence, and analytical insights come together to support account intelligence, deep research, customer preparation, opportunity intelligence, and next-best actions.
• Guide the evolution of the Commercial Insights Platform toward an integrated AI-enabled experience with shared context, reusable intelligence, enterprise data, and integration into Salesforce and other commercial workflows.

Connect Sales, Commercial Insights & Data Strategy

• Define the data strategy required to support Commercial AI, Commercial technology and the Commercial Insights Platform, including customer, account, contact, interaction, opportunity, intent, product, transaction, and content data.
• Partner with IT, Enterprise Data, Data & Analytics, Data Science, and business teams to prioritize data integration, enrichment, quality, identity, metadata, accessibility, and AI-readiness.
• Ensure first-party, third-party, digital, analytical, and commercial data investments are directly connected to prioritized business use cases and measurable commercial outcomes.

Shape Data & Technology Architecture

• Partner with IT, Enterprise Architecture, Data & Analytics, Data Science, and engineering teams to define the technology and data foundations required to deliver the Commercial AI and digital product roadmap.
• Influence architecture, platform, integration, security, and data decisions to ensure solutions are scalable, reusable, interoperable, and aligned to long-term commercial strategy.
• Bring sufficient technical fluency to architecture discussions to challenge assumptions, understand dependencies and tradeoffs, and advocate for enterprise capabilities rather than disconnected point solutions.

Sales Technology & Salesforce Strategy

• Define the strategic product roadmap for enterprise Sales technology in partnership with Sales, Commercial Operations, IT, and business stakeholders.
• Establish the vision for how Salesforce and the broader commercial technology ecosystem enable customer intelligence, opportunity management, workflow automation, collaboration, next-best actions, and AI-enabled selling.
• Identify opportunities to standardize and scale common enterprise Sales capabilities while accommodating business-specific requirements where they create meaningful value.

Strategic Technology Partnerships

• Serve as a key Thermo Fisher product leader across strategic relationships with OpenAI, Salesforce, consulting partners, and other emerging technology providers.
• Translate partner innovation and technology roadmaps into practical implications, opportunities, and capability priorities for Thermo Fisher.
• Use strategic partnerships to accelerate high-value capabilities while informing build, buy, partner, and integration decisions aligned to enterprise product and architecture strategies.

Product Portfolio & Investment Prioritization

• Own prioritization across the Commercial AI & Digital Product portfolio, balancing business value, customer impact, productivity, revenue potential, strategic importance, cost, risk, and dependencies.
• Develop compelling business cases and recommendations for new capabilities and investments and present them to senior Commercial, business, Finance, and technology leaders.
• Establish clear frameworks for determining where Thermo Fisher should invest in common enterprise capabilities versus business-specific solutions.

Enterprise Alignment & Executive Leadership

• Build alignment across Commercial, Marketing, Sales, businesses, IT, Data & Analytics, Enterprise Architecture, Data Science, and other functions around a common Commercial AI and digital product strategy.
• Serve as a trusted advisor to senior leaders, translating complex AI, technology, architecture, and data topics into clear business implications, recommendations, tradeoffs, and decisions.
• Lead executive roadmap, strategy, investment, and prioritization discussions while creating clear visibility into progress, risks, dependencies, adoption, and value realization.

Product Leadership & Team Development

• Build and lead a high-performing digital product management organization responsible for Commercial AI, Commercial technology, the Commercial Insights Platform, and enabling data capabilities.
• Establish clear ownership, accountability, decision rights, and product management standards while coaching product leaders to independently manage complex products and initiatives.
• Develop product management talent capable of operating effectively across business strategy, technology, data, AI, commercial transformation, and executive stakeholder management.

Thought Leadership & External Orientation

• Maintain a strong external perspective on developments in AI, agentic technology, CRM, commercial intelligence, Commercial technology, analytics, and enterprise data platforms.
• Translate emerging technologies and market trends into clear strategic implications, opportunities, and recommendations for Thermo Fisher leadership.
• Identify opportunities to leverage Thermo Fisher's scale, scientific expertise, customer relationships, data, and commercial capabilities to create differentiated AI-enabled experiences.

Measurement & Value Realization

• Define the KPIs and outcome measures used to evaluate Commercial AI & Digital Product investments, including adoption, productivity, customer impact, commercial effectiveness, revenue enablement, and cost savings.
• Ensure business cases include measurable expected outcomes and establish mechanisms to assess post-launch value realization.
• Use performance data, user feedback, and business outcomes to continuously improve capabilities, adjust priorities, and guide future investments.
• Performs other duties as assigned.

Education

• Bachelor's degree required in Business, Marketing, Information Systems, Computer Science, Data & Analytics, Engineering, or a related field.
• Master's degree in Business, Technology, Data, Analytics, Engineering, or a related discipline preferred.

Experience

• 10+ years of relevant experience across digital product management, commercial technology, enterprise data and analytics, AI, enterprise platforms, customer experience technology, or technology-enabled transformation.
• Demonstrated experience owning product strategy and multi-year roadmaps for complex enterprise capabilities.
• Experience leading large, cross-functional initiatives across business, product, technology, data, architecture, analytics, and engineering teams within a highly matrixed organization.
• Experience working with enterprise Sales and CRM technologies; Salesforce experience strongly preferred.
• Experience working with enterprise Marketing technologies; Adobe technology experience strongly preferred.
• Experience with customer intelligence, enterprise data platforms, analytical products, AI-enabled capabilities, or commercial transformation strongly preferred.
• Demonstrated experience translating business strategy into product capabilities, architecture requirements, investment priorities, and measurable outcomes.
• Experience building business cases and influencing investment decisions with senior business and technology leaders.
• Experience managing strategic relationships with major technology vendors, consulting organizations, or external innovation partners.
• Demonstrated experience influencing technology, architecture, and data decisions without direct organizational authority.
• Experience leading, coaching, and developing product managers or other professional teams preferred.

Skills and Competencies

• Exceptional digital product management and product strategy capabilities.
• Strong understanding of commercial processes, CRM technologies, Marketing technologies, customer intelligence, and enterprise commercial technology ecosystems.
• Strong understanding of generative AI, machine learning, emerging agentic capabilities, and the practical application of AI within enterprise workflows.
• Working knowledge of enterprise data strategy, customer data, data architecture, analytics, identity, integration, and AI-ready data requirements.
• Sufficient technical fluency to participate meaningfully in architecture discussions, challenge assumptions, understand dependencies, evaluate tradeoffs, and ensure technical decisions align to long-term product strategy.
• Ability to define a compelling future-state vision and translate that vision into an executable multi-year roadmap.
• Strong strategic thinking combined with the ability to move from ambiguous business problems to defined capabilities, priorities, and decisions.
• Exceptional communication, presentation, storytelling, and executive presence.
• Ability to simplify complex technology and data topics into clear business implications and executive recommendations.
• Strong business-case development, financial analysis, prioritization, and investment decision-making skills.
• Demonstrated ability to build consensus and alignment across multiple businesses, functions, regions, and leadership teams.
• Strong influence and stakeholder-management skills, including the ability to drive decisions without direct authority.
• Strong external orientation and demonstrated ability to translate technology trends into practical business opportunities.
• Strong leadership, coaching, organizational development, and talent-management capabilities.
• Ability to operate effectively in a large, global, highly matrixed organization and navigate ambiguity and competing priorities.
• Strong analytical mindset with an emphasis on measurable business outcomes and value realization.
• High standards of integrity, accountability, collaboration, and professional judgment.

Preferred Qualifications

• Product leadership experience with Salesforce, OpenAI technologies, enterprise AI platforms, commercial insights solutions, or related commercial technology ecosystems .
• Experience developing or scaling generative AI and agentic AI capabilities within enterprise Sales, Marketing, or Commercial workflows.
• Experience with customer intelligence, account intelligence, next-best-action, opportunity intelligence, sales recommendations, or AI-enabled customer engagement.
• Familiarity with enterprise data platforms, CRM data, digital behavioral data, intent data, customer data, analytical models, and third-party enrichment data.
• Experience creating integrated product strategies that span multiple platforms and organizational owners.
• Experience working with Enterprise Architecture, Data Engineering, Data Science, Cybersecurity, Privacy, and other technology governance organizations.
• Experience leading commercial or digital transformation in a large global enterprise.
• Strong PowerPoint and executive storytelling skills with demonstrated ability to communicate strategy, architecture, investment recommendations, roadmaps, and business impact to senior leadership.