Executive Director, Digital Product Management -Research

Amgen•South San Francisco, CA

18d•$249,042 - $336,940

About The Position

The Executive Director, Digital Product Management - Research is the senior digital technology leader for Research and a member of the Research Leadership Team. The role translates Research strategy and portfolio priorities into a coordinated technology, data, and AI agenda to accelerate science, improve scientific data quality and reuse, and support medicine discovery. The leader helps shape investment priorities and advances digital capabilities across the Research portfolio, with the goal of improving scientific decisions and speeding experimental learning. The position owns Research’s technology environment, including benchtop and instrument-adjacent technology, electronic lab notebooks, LIMS, scientific workflows, and the data products and platforms connecting Research disciplines. It leads an organization spanning research informatics, laboratory and benchtop technology, digital products, and scientific data enablement, while partnering with scientific leaders and technology, AI, and data teams to deliver dependable capabilities designed around scientists’ needs.

Requirements

Doctorate degree and 6 years of technology experience, or a master’s degree and 10 years of technology experience, or a bachelor’s degree and 12 years of technology experience.
6 years of managerial experience directly managing people and/or leadership experience leading teams, projects, or programs, or directing resource allocation.
Ability to create a connected, inclusive, and inspiring work environment that empowers talent.
Ability to enable speed and encourage progress over perfection in response to patient needs.
Ability to connect teams and capabilities to drive results for patients, staff, and shareholders.
Ability to lead through change, adapt to an evolving environment, and define a clear course of action.

Nice To Haves

5+ years of progressive leadership experience, including direct leadership of senior leaders and/or responsibility for a substantial, multidisciplinary organization.
Experience leading technology, data, digital, informatics, or computational capabilities in a research-intensive life sciences environment.
Scientific credibility and the ability to earn scientists’ trust and challenge existing assumptions.
Understanding of the drug discovery research lifecycle and credibility with scientists across disciplines such as small molecules, biologics, DELs, ADCs, disease biology, or translational science.
Experience setting multi-year strategy with business functions and leading enterprise-scale changes across laboratory technology, scientific software, data platforms, scientific workflows, or research informatics.
Experience creating and scaling scientific data products, FAIR data practices, metadata and terminology capabilities, and integrated data-to-insight workflows.
Technology and data judgment across cloud platforms, architecture, laboratory systems, data engineering, analytics, and vendor ecosystems.
Ability to influence senior executives, lead through ambiguity, resolve consequential cross-functional trade-offs, and create alignment without relying solely on formal authority.
Executive communication and storytelling skills, including translating complex scientific, technical, and investment choices into clear recommendations and action.
Experience in biotechnology, pharmaceutical research, or another highly regulated, technology-intensive environment is strongly preferred.

Responsibilities

Set and evolve the multi-year Research Technology, Data & AI strategy in partnership with Research, linking investments to scientific priorities, portfolio needs, and measurable outcomes.
Serve as a strategic advisor and decision-maker on the Research Leadership Team, contributing technology and data insight to portfolio choices, operating plans, capital decisions, and risk discussions.
Own portfolio prioritization and investment recommendations, balancing scientific value, urgency, adoption, dependencies, risk, cost, and organizational capacity.
Establish outcomes, OKRs, and value measures; use evidence to redirect investment, retire low-value solutions, and scale solutions that advance science.
Own the technology foundation used by Research scientists, including benchtop and instrument-adjacent technology, electronic lab notebooks, LIMS, and integrated scientific workflows.
Deliver reliable, scalable products that improve scientific workflows and demonstrate measurable value.
Modernize and integrate scientific data workflows from source capture through analysis, reuse, and decision-making, emphasizing data quality, metadata, terminology, and fit-for-purpose governance.
Build governed, reusable data products connecting experiments, observations, models, and knowledge across Research, making data discoverable, trustworthy, and ready for analytical reuse.
Advance digital capabilities across disease understanding, target selection, small molecule discovery, large molecule discovery, DNA-encoded libraries, and antibody-drug conjugates, enabling collaboration across scientific domains.
Design platforms and workflows around scientist needs and continuously improve the end-to-end user experience.
Lead and develop an organization spanning research informatics, laboratory and benchtop technology, digital products, and scientific data enablement.
Build partnerships with Research scientific leaders, Technology and AI & Data organizations, and external collaborators; resolve cross-functional dependencies and material trade-offs.
Apply disciplined technology investment practices across platform rationalization, build-versus-buy decisions, and technical debt management.
Set standards for product and delivery excellence, including problem framing, scientist co-design, architecture, vendor management, reliable operations, adoption, lifecycle management, and realized value.
Create a culture of scientific curiosity and accountability that learns from evidence, anticipates risk, and delivers dependable services to laboratories and research teams.
Communicate strategy, investment decisions, performance, risks, and opportunities to executive audiences, translating complex scientific and technical choices into decisive action.

Benefits

Health and welfare plans for staff and eligible dependents
Retirement and Savings Plan with company contributions
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Flexible spending accounts
Discretionary annual bonus program, or a sales-based incentive plan for field sales representatives
Stock-based long-term incentives
Award-winning time-off plans
Bi-annual company-wide shutdowns
Flexible work models where possible
Career development opportunities