Product Strategy, Autonomous Laboratories

Key Responsibilities

• Assess how AI, automation, robotics, connected instruments, digital workflows, data platforms, and autonomous experimentation could change laboratory work.
• Identify practical applications in scientific productivity, instrument operation, workflow optimization, decision support, and service; distinguish durable shifts from short-term technology cycles.
• Evaluate new products, solutions, partnerships, and business models.
• Develop strategic and financial cases that assess customer value, differentiation, and feasibility; recommend when to build, partner, invest, acquire, or apply existing capabilities differently.
• Develop and continually refine Agilent’s view of Autonomous Labs.
• Synthesize scientific, technological, economic, and operational trends, including changing workforce models and productivity pressures, into scenarios and implications for our portfolio, business models, and investments.
• Engage scientists, laboratory leaders, executives, key opinion leaders, and strategic customers to understand current operations and emerging needs.
• Identify workflow bottlenecks, fragmented data, automation gaps, usability challenges, and inefficiencies that span individual instruments or product categories.
• Synthesize customer feedback across markets and businesses into clear problem statements, strategic requirements, opportunity areas, and investment recommendations.
• Connect market direction, competitive developments, technology adoption, and laboratory economics to customer value and business opportunity.
• Partner with individual business and product groups to translate enterprise insight into specific decisions about what to develop, accelerate, integrate, redesign, partner around, or stop pursuing.
• Convert recommendations into product concepts, roadmap changes, customer experiments, and investment cases.
• Lead initiatives across product management, R&D, commercial, digital, service, and business leadership.
• Align teams around customer problems that cross organizational boundaries and opportunities to combine instruments, software, consumables, automation, services, and data into more complete solutions.

Qualifications

• Bachelor’s or Master’s degree in a scientific, engineering, business, or related discipline, or equivalent experience.
• A PhD, MBA, or equivalent advanced experience is strongly preferred.
• Typically 12+ years of relevant combined experience across product strategy, product management, scientific research, strategy consulting, operations, technology, business development, or related fields.
• Experience in life sciences, analytical instrumentation, diagnostics, biotechnology, pharmaceuticals, laboratory technology, or adjacent markets is strongly preferred.
• Demonstrated ability to understand complex markets, translate trends into business strategy, and turn customer insight into product, portfolio, or organizational action.
• A record of delivering results across functions and working credibly with senior business leaders, scientists, engineers, and product teams.

Skills and Competencies

• Strategic and systems thinking, with the ability to recognize patterns across markets, customers, technologies, and businesses.
• Scientific and technical fluency, curiosity about AI and automation, and sound product judgment grounded in customer needs.
• Structured problem solving and analytical rigor; ability to turn ambiguous information into concrete decisions and priorities.
• Executive communication, facilitation, and influence across organizational boundaries without direct authority.
• Ability to move between long-range strategy and practical execution, aligning stakeholders and sustaining follow-through.