Executive Director, Digital Product Management -Research
- Location
- South San Francisco, CA
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 137 approvals (FY2023)
- Posted
About this role
Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. Amgen is advancing a broad and deep pipeline and portfolio of medicines to treat heart disease, obesity and obesity-related conditions, rare diseases, inflammatory conditions, and cancer. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
What you will do
Let’s do this. Let’s change the world. In this vital role, the Executive Director, Digital Product Management - Research will be the senior digital technology leader for Research. The Executive Director will translate Research strategy and portfolio priorities into a coherent technology, data and AI agenda that accelerates science, improves the quality and reuse of scientific data, and creates durable advantage in how Amgen discovers medicines. As a member of the Research Leadership Team, the Executive Director will help transform how science is done, and shape investment priorities to ensure that digital technologies are actively moving the portfolio forward from disease understanding and target selection through molecule design and synthesis, and translational safety. Success would include evidence of better scientific decisions and faster experimental learning.The Executive Director will own the technology environment for Research, including benchtop environment, electronic lab notebooks, scientific workflows, and the data products and platforms that connect Research disciplines. The successful candidate will lead a talented organization and serve as a trusted thought partner to scientific leaders, ensuring that Research teams have dependable, well-designed capabilities that enable better and faster science. Responsibilities include: Research strategy, portfolio impact, and executive leadership Set and continuously evolve the multi-year Research Technology, Data & AI strategy in partnership with Research, linking capability investments to the Research portfolio, scientific priorities, and measurable outcomes. Serve on the Research Leadership Team as a strategic advisor and decision-maker; bring technology and data insight to portfolio choices, operating plans, capital decisions, and risk discussions. Own portfolio prioritization and investment recommendations across the function, balancing scientific value, urgency, adoption, technical dependencies, risk, cost, and organizational capacity. Establish clear outcomes, OKRs and value measures; use evidence to redirect investment, retire low-value solutions and scale what demonstrably advances the science. Scientific technology, laboratory workflows, and data products Own the technology foundation that enables Research scientists to do their best work: benchtop and instrument-adjacent technology, electronic lab notebooks, LIMS, and integrated scientific workflows. Deliver reliable, scalable products that scientists want to use, improve workflows, and demonstrate measurable value. Lead the modernization and integration of scientific data workflows from capture at source through analysis, reuse, and decision-making, with a strong emphasis on data quality, metadata, terminology, and fit-for-purpose governance. Build a coherent portfolio of governed, reusable data products that connect experiments, observations, models, and