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Open nowPosted today

AVP, Product Strategy

agilent388 open roles

Pay
$211,175 – $329,961 a year
Where
US MA Remote Location Lexington Area
Work mode
Remote
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Your applicationOpen nowAVP, Product Strategyagilent · US MA Remote Location Lexington Area

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. agilent postings stay open a median of 17 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted today

agilent median: 17 days open

The posting

Job Description

Role overview

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.

Key responsibilities

Customer insight and opportunity discovery

  • 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.

Market and technology strategy

  • 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.

Product and portfolio strategy

  • 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.

Business cases and investment recommendations

  • 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.

Customer validation and new value creation

  • 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.

Ecosystem and enterprise alignment

  • 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.

Strategic execution and learning

  • 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.

Measures of success

  • 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.

Qualifications

Required qualifications

  • 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.

Preferred qualifications

  • 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.

Core competencies

  • 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.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least November 18, 2026 or until the job is no longer posted.

The full-time equivalent pay range for this position is $211,175.00 - $329,961.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.

Travel Required:

25% of the Time

Shift:

Day

Duration:

No End Date

Job Function:

Administration

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