Director, Digital Product Management – Commercial AI & Intelligence

Thermo Fisher Scientific•Pittsburgh, PA

About The Position

Thermo Fisher Scientific is seeking a strategic digital product leader to define and drive the commercial technology, data, customer intelligence, and AI capability roadmap. The Director owns product strategy and an integrated roadmap spanning Commercial AI, Sales and Marketing technology, the Commercial Insights Platform, Salesforce-enabled commercial experiences, and the data capabilities that enable them. The role connects commercial strategy with product, technology, data, and architecture requirements, partnering with business teams, Sales, Marketing, IT, Data & Analytics, Enterprise Architecture, and external partners. This role establishes a North Star for bringing technology, data, customer intelligence, and AI together to transform commercial work. It defines how commercial colleagues understand customers, identify opportunities, generate insights, determine next-best actions, collaborate, and increasingly execute work through AI-enabled and agentic experiences. The Director operates across business strategy, digital product management, data, AI, and enterprise technology, translating strategy into scalable enterprise capabilities and measurable commercial outcomes. The Director leads product strategy and prioritization across the Commercial AI and digital product portfolio, shapes the Commercial Insights Platform and Sales technology roadmap, influences data and technology architecture, and develops strategic technology partnerships. The role also builds and leads a digital product management organization, aligns senior stakeholders, and establishes measures for adoption, productivity, customer impact, commercial effectiveness, revenue enablement, cost savings, and value realization. Performs other duties as assigned.

Requirements

Bachelor's degree in Business, Marketing, Information Systems, Computer Science, Data & Analytics, Engineering, or a related field.
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 in a highly matrixed organization.
Experience working with enterprise Sales and CRM technologies.
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 ability to influence technology, architecture, and data decisions without direct organizational authority.
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 practical enterprise workflow applications of AI.
Working knowledge of enterprise data strategy, customer data, data architecture, analytics, identity, integration, and AI-ready data requirements.
Technical fluency to participate in architecture discussions, challenge assumptions, understand dependencies, evaluate tradeoffs, and align technical decisions with product strategy.
Ability to define a future-state vision and translate it into an executable multi-year roadmap.
Strong strategic thinking and ability to turn ambiguous business problems into defined capabilities, priorities, and decisions.
Exceptional communication, presentation, storytelling, and executive presence.
Ability to explain complex technology and data topics as clear business implications and executive recommendations.
Strong business-case development, financial analysis, prioritization, and investment decision-making skills.
Ability to build consensus and alignment across businesses, functions, regions, and leadership teams.
Strong influence and stakeholder-management skills, including driving decisions without direct authority.
Strong external orientation and ability to translate technology trends into practical business opportunities.
Ability to operate effectively in a large, global, highly matrixed organization and navigate ambiguity and competing priorities.
Strong analytical mindset focused on measurable business outcomes and value realization.
High standards of integrity, accountability, collaboration, and professional judgment.

Nice To Haves

Master's degree in Business, Technology, Data, Analytics, Engineering, or a related discipline.
Salesforce experience; Salesforce experience is strongly preferred.
Enterprise Marketing technology experience; Adobe technology experience is strongly preferred.
Experience with customer intelligence, enterprise data platforms, analytical products, AI-enabled capabilities, or commercial transformation.
Experience leading, coaching, and developing product managers or other professional teams.
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 spanning 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, including communicating strategy, architecture, investment recommendations, roadmaps, and business impact to senior leadership.

Responsibilities

Establish and communicate the Commercial AI & Digital Product North Star across Sales technology, Marketing technology, commercial insights, data, analytics, AI, and digital capabilities.
Own a multi-year integrated product strategy and capability roadmap, defining priorities, sequencing, dependencies, and investment requirements.
Establish enterprise product principles and decision frameworks that balance business value, scalability, reuse, governance, interoperability, and long-term strategic value.
Define product strategy for generative AI, predictive intelligence, and agentic capabilities across Sales and Commercial workflows.
Identify, test, measure, govern, and scale high-value AI use cases.
Develop the product vision for an integrated commercial experience incorporating AI, commercial insights, customer and commercial data, Salesforce, collaboration technologies, and analytics.
Partner with Sales, Commercial, Marketing, and business teams to understand workflows and translate needs into scalable enterprise capabilities.
Embed intelligence, recommendations, and automation into commercial tools and workflows for customer preparation, opportunity identification, collaboration, decisions, and execution.
Provide strategic product leadership for the Commercial Insights Platform and establish it as an enterprise capability for actionable customer, account, opportunity, market, and commercial intelligence.
Define how internal and external data, digital activity, customer content, competitive intelligence, and analytical insights support account intelligence, research, customer preparation, opportunity intelligence, and next-best actions.
Guide 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.
Define the data strategy required for Commercial AI, commercial technology, and the Commercial Insights Platform.
Partner with IT, Enterprise Data, Data & Analytics, Data Science, and business teams to prioritize data integration, enrichment, quality, identity, metadata, accessibility, and AI-readiness.
Connect first-party, third-party, digital, analytical, and commercial data investments to prioritized business use cases and measurable outcomes.
Partner with IT, Enterprise Architecture, Data & Analytics, Data Science, and engineering teams to define technology and data foundations for the roadmap.
Influence architecture, platform, integration, security, and data decisions to support scalable, reusable, interoperable solutions aligned with commercial strategy.
Define the strategic product roadmap for enterprise Sales technology with Sales, Commercial Operations, IT, and business stakeholders.
Establish how Salesforce and the broader commercial technology ecosystem support 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.
Serve as a Thermo Fisher product leader in strategic relationships with OpenAI, Salesforce, consulting partners, and emerging technology providers.
Translate partner innovation and technology roadmaps into practical implications, opportunities, and capability priorities; inform build, buy, partner, and integration decisions.
Own prioritization across the Commercial AI & Digital Product portfolio, balancing business value, customer impact, productivity, revenue potential, strategic importance, cost, risk, and dependencies.
Develop business cases and investment recommendations and present them to senior Commercial, business, Finance, and technology leaders.
Establish frameworks for deciding between common enterprise capabilities and business-specific solutions.
Build alignment across Commercial, Marketing, Sales, businesses, IT, Data & Analytics, Enterprise Architecture, Data Science, and other functions around a common strategy.
Advise senior leaders by translating AI, technology, architecture, and data topics into business implications, recommendations, tradeoffs, and decisions.
Lead executive roadmap, strategy, investment, and prioritization discussions and provide visibility into progress, risks, dependencies, adoption, and value realization.
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 ownership, accountability, decision rights, and product management standards; coach product leaders to manage complex products and initiatives.
Develop product management talent across business strategy, technology, data, AI, commercial transformation, and executive stakeholder management.
Maintain an external perspective on AI, agentic technology, CRM, commercial intelligence, commercial technology, analytics, and enterprise data platforms, and translate trends into strategic recommendations.
Identify opportunities to leverage Thermo Fisher's scale, scientific expertise, customer relationships, data, and commercial capabilities for differentiated AI-enabled experiences.
Define KPIs and outcome measures for product investments, including adoption, productivity, customer impact, commercial effectiveness, revenue enablement, and cost savings.
Ensure business cases specify measurable expected outcomes and establish mechanisms to assess post-launch value realization.
Use performance data, user feedback, and business outcomes to improve capabilities, adjust priorities, and guide future investments.
Perform other duties as assigned.