Director, Digital Product Management – Commercial AI & Intelligence

Thermo Fisher Scientific•Pittsburgh, PA

4d•Onsite

About The Position

Thermo Fisher Scientific is seeking an experienced digital product leader to define and drive its commercial technology, data, customer intelligence, and AI capability roadmap. The Director owns product strategy and the integrated roadmap across Commercial AI, Sales and Marketing technology, the Commercial Insights Platform, Salesforce-enabled experiences, and supporting data capabilities. The role connects commercial strategy with product, technology, data, and architecture requirements, partnering with business teams and functions including Sales, Marketing, IT, Data & Analytics, Enterprise Architecture, and external technology partners. This role establishes a North Star for integrating technology, data, customer intelligence, and AI 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 leads investment prioritization, architecture alignment, executive decision-making, product portfolio management, and the development of a high-performing digital product management organization. The role also defines measurable outcomes and mechanisms for assessing adoption, productivity, customer impact, commercial effectiveness, revenue enablement, and cost savings.

Requirements

Bachelor's degree in Business, Marketing, Information Systems, Computer Science, Data & Analytics, Engineering, or a related field.
10 or more 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 with enterprise Sales and CRM technologies.
Demonstrated ability to translate business strategy into product capabilities, architecture requirements, investment priorities, and measurable outcomes.
Experience developing 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 long-term 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 in terms of business implications and executive recommendations.
Strong business-case development, financial analysis, prioritization, and investment decision-making skills.
Ability to build consensus across 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 ability to translate technology trends into practical business opportunities.
Strong leadership, coaching, organizational development, and talent-management capabilities.
Ability to work 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.
Experience with Salesforce; this is strongly preferred.
Experience with Adobe Marketing technology; this 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 and Digital Product North Star, integrating Sales technology, Marketing technology, commercial insights, data, analytics, AI, and digital capabilities.
Own the multi-year integrated product strategy and capability roadmap, including priorities, sequencing, dependencies, and investment requirements.
Set enterprise product principles and decision frameworks that balance business value, scalability, reuse, governance, interoperability, and long-term strategic value.
Define strategies 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 future commercial experience by bringing together AI, customer and commercial data, Salesforce, collaboration technologies, analytics, and commercial insights.
Partner with Sales, Commercial, Marketing, and business teams to understand workflows and translate needs into scalable capabilities.
Embed intelligence, recommendations, and automation in commercial workflows for customer preparation, opportunity identification, collaboration, decision-making, and execution.
Provide strategic product leadership for the Commercial Insights Platform and develop 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 analytics 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 for Commercial AI, commercial technology, and the Commercial Insights Platform, covering relevant 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.
Connect first-party, third-party, digital, analytical, and commercial data investments to prioritized business use cases and measurable outcomes.
Partner with architecture, data, analytics, data science, IT, and engineering teams to define technology and data foundations for the roadmap.
Influence architecture, platform, integration, security, and data decisions to ensure solutions are scalable, reusable, interoperable, and aligned with commercial strategy.
Define the strategic product roadmap for enterprise Sales technology and the vision for Salesforce and the broader commercial technology ecosystem.
Identify opportunities to standardize and scale common enterprise Sales capabilities while accommodating business-specific requirements where they provide meaningful value.
Lead product engagement with strategic partners such as OpenAI, Salesforce, consulting partners, and emerging technology providers; translate partner roadmaps into capability priorities and build, buy, partner, and integration decisions.
Prioritize the Commercial AI and 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.
Build alignment across Commercial, Marketing, Sales, businesses, IT, Data & Analytics, Enterprise Architecture, Data Science, and other functions.
Advise senior leaders by translating complex AI, technology, architecture, and data topics into business implications, recommendations, tradeoffs, and decisions.
Lead executive roadmap, strategy, investment, and prioritization discussions, providing visibility into progress, risks, dependencies, adoption, and value realization.
Build and lead a high-performing digital product management organization, establishing ownership, accountability, decision rights, and product management standards.
Coach and develop product leaders and product management talent across business strategy, technology, data, AI, commercial transformation, and executive stakeholder management.
Monitor developments in AI, agentic technology, CRM, commercial intelligence, analytics, and enterprise data platforms, and translate trends into recommendations for Thermo Fisher.
Define KPIs and outcome measures for product investments and ensure business cases include measurable expected outcomes.
Establish mechanisms to assess post-launch value realization and use performance data, user feedback, and business outcomes to improve capabilities and guide investment.
Perform other duties as assigned.