AVP, Product Strategy

The Lead, Product Strategy will translate customer needs, scientific workflows, market developments, and emerging technologies into actionable product and portfolio strategies for Agilent’s Scientific Intelligence organization.

Working at the intersection of science, technology, customer experience, and business strategy, this senior individual contributor will identify opportunities across AI, automation, robotics, connected instruments, digital workflows, data platforms, and autonomous experimentation.

The role will develop strategic recommendations, product concepts, and investment cases that inform long-term direction and multi-year roadmaps. It will connect evidence from customer engagements with decisions about what Agilent should develop, accelerate, integrate, partner around, or stop pursuing.

Success requires scientific and technical fluency, commercial judgment, and the ability to align stakeholders across Product Management, Engineering, Applications, Design, Commercial, Service, and external partners.

• Engage scientists, laboratory leaders, executives, and strategic customers to understand scientific objectives, operational challenges, and emerging needs.
• Map workflows and customer journeys to identify bottlenecks, fragmented data, manual handoffs, usability challenges, and unmet needs.
• Translate customer requests into validated problem statements, value hypotheses, and strategic opportunities.
• Synthesize insights across customer segments and regions, distinguishing recurring market needs from customer-specific requirements.
• Partner with Customer Solutions & Applications and Product Design and Research to validate assumptions through observation, interviews, prototypes, and customer experiments.

• Assess how AI, automation, robotics, connected instruments, digital workflows, data platforms, and autonomous experimentation could reshape laboratory operations.
• Evaluate competitive offerings, ecosystem developments, customer adoption patterns, and changes in laboratory economics.
• Distinguish durable shifts and commercially relevant opportunities from short-term technology trends.
• Develop scenarios and strategic implications for product differentiation, portfolio evolution, and business models.
• Identify opportunities that connect capabilities across instruments, software, consumables, automation, services, and data.

• Develop and refine product strategy recommendations aligned with Scientific Intelligence’s vision, customer priorities, and growth objectives.
• Contribute to the integrated multi-year roadmap, connecting customer workflows with product, platform, and ecosystem capabilities.
• Identify portfolio gaps, overlapping offerings, dependencies, and opportunities for reuse.
• Recommend priorities across core growth, modernization, and new value creation.
• Translate strategic recommendations into product concepts, roadmap proposals, and clear decision options for accountable product and business leaders.

• Develop strategic and financial cases assessing customer value, market potential, differentiation, feasibility, risk, and economics.
• Evaluate build, buy, partner, configure, and reuse options with relevant stakeholders.
• Define assumptions, evidence requirements, success measures, and decision points for proposed investments.
• Recommend where to accelerate investment, conduct further discovery, redirect resources, or discontinue exploration.
• Contribute to pricing, packaging, monetization, and commercialization assessments with Product Management, Finance, Marketing, and Commercial.

• Shape targeted pilots, proofs of concept, and customer experiments that test strategic assumptions before broader investment.
• Establish learning objectives and measurable outcomes with execution teams.
• Evaluate whether customer-specific solutions can become repeatable offerings, reusable capabilities, or scalable business opportunities.
• Identify new value pools arising from connected workflows, intelligent automation, scientific data, and partner-enabled solutions.
• Convert experimental results into recommendations to advance, revise, scale, or stop an initiative.

• Partner with Ecosystem & Partnerships leaders to assess external capabilities, complementary technologies, and joint solution opportunities.
• Incorporate partner insights and interoperability needs into product strategy recommendations.
• Align stakeholders around customer problems and opportunities that span product and organizational boundaries.
• Maintain feedback loops with Product Management, Engineering, Applications, Commercial, Service, and Customer Adoption & Transformation.
• Communicate strategic findings through concise narratives, opportunity assessments, business cases, and executive recommendations.

• Lead cross-functional strategy initiatives through clear questions, structured analysis, milestones, and decision points.
• Support the transition from approved strategy to accountable product and delivery teams.
• Track whether strategic assumptions remain valid as customer, market, and technical evidence develops.
• Improve the speed and quality of strategic decisions through reusable methods, shared insights, analytics, and AI-assisted research.
• Maintain a continuous cycle of discovery, validation, recommendation, and learning.

• Customer insights translated into clear product and portfolio decisions.
• Quality and timeliness of strategic recommendations and investment cases.
• Validated opportunities incorporated into multi-year roadmaps.
• Faster progression from opportunity identification to evidence-based decisions.
• New value pools supported by credible customer and commercial evidence.
• Improved alignment across product, platform, commercial, and partner priorities.
• Clear handoffs from strategic exploration to product ownership and execution.
• Demonstrated business impact from adopted recommendations.

• Bachelor’s or Master’s degree in engineering, science, computer science, business, or a related discipline, or equivalent practical experience.
• 7+ years of increasing managerial experience in product strategy, product management, laboratory automation, scientific software, informatics, or related technology markets.
• Demonstrated ability to translate customer insight and market evidence into product strategies, roadmap recommendations, and business cases.
• Scientific and technical fluency across laboratory workflows, instruments, software, data, and automation.
• Strong analytical and commercial judgment, including assessment of market opportunities, business models, and investment tradeoffs.
• Experience leading complex cross-functional initiatives through influence.
• Strong written communication, executive presentation, and stakeholder facilitation skills.

• PhD, MBA, or equivalent advanced experience.
• Experience in life sciences, pharmaceuticals, biotechnology, chemical analysis, or regulated laboratory environments.
• A record of translating customer collaborations or emerging technologies into scalable products or business opportunities.
• Experience evaluating technology partnerships, platform ecosystems, or build-versus-buy decisions.
• Familiarity with customer research, product analytics, scenario planning, and experimentation.

• Customer and scientific orientation: Grounds strategy in laboratory realities and meaningful outcomes.
• Strategic and systems thinking: Connects patterns across markets, workflows, technologies, and businesses.
• Product and commercial judgment: Balances customer value, differentiation, feasibility, and economics.
• Analytical rigor: Makes assumptions explicit and uses evidence to guide decisions.
• Enterprise influence: Creates alignment across functions without relying on reporting authority.
• Learning and execution: Converts ambiguity into practical recommendations and sustains follow-through.