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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.

Director Digital Manufacturing Innovation

What you will do

Let’s do this. Let’s change the world. In this vital role you will help Amgen strengthen the digital, data, and AI capabilities that support safe, reliable, and efficient manufacturing. We are seeking a leader who understands manufacturing, can turn operational needs into practical solutions, and can help sites adopt those solutions across our global network.

The Director, Digital Manufacturing Innovation (DMI), is the global business leader for digital innovation across Amgen Manufacturing. Based in Global Manufacturing Strategies and Technologies (GMST), you will identify the manufacturing opportunities where digital products, data, analytics, and AI can create the greatest value; set and manage the portfolio; and lead work from idea and pilot through supported deployment, adoption, and expansion across the network. You are accountable for ensuring that each priority has a clear product team, business owner, reliable data, an effective solution, and measurable results.

You will lead a global team and work with manufacturing sites, Digital Site Leaders, product owners, Engineering, Process Development, Quality, Supply Chain, Finance, Technology, AI and Data, and Amgen India delivery teams. DMI sets portfolio direction, business requirements, readiness expectations, and scale decisions. Product and technology teams own technical design and delivery, while sites own local implementation, adoption, and sustained performance. You will bring these groups together, resolve trade-offs, and give leaders clear recommendations on where to invest, scale, improve, or stop.

Innovation strategy and portfolio leadership

• Set and maintain the global DMI roadmap, translating Manufacturing priorities into a focused portfolio of digital, data, analytics, AI, and automation opportunities. Prioritize work based on patient and supply impact, safety, quality, business value, data and site readiness, risk, cost, and the potential for reuse across the network.
• Lead a consistent process from idea intake and discovery through pilot, production, and network expansion. Ensure every initiative has a clear problem statement, business sponsor, accountable owner, resource plan, success measures, and decision points.
• Provide clear recommendations and escalations to senior Manufacturing leaders. Align with Digital Site Leaders on site roadmaps, identify proven site innovations that can be reused, and evaluate emerging technologies through focused tests before broader investment.
  

Digital products and connected manufacturing

• Partner with product owners to define manufacturing needs, expected outcomes, roadmaps, and delivery priorities across connected operations, digital performance management, electronic workflows, workforce tools, production scheduling, and capacity planning.
• Set clear expectations for testing, release readiness, user experience, support, and lifecycle ownership. Ensure products are practical for operators, reliable, secure, integrated, and supported. Promote shared products and standards across the network while allowing local variation when a clear business need justifies it.

Manufacturing data ownership and readiness

• Establish clear business ownership and stewardship for priority Manufacturing data. Work with enterprise data and system owners to define common terms, master and reference data needs, data sources, and measurable data quality standards.
• Assess data readiness early and lead correction of critical gaps before digital or AI solutions advance. Make priority data easy to find, appropriately accessible, compatible across systems, and reusable.
• Build a network of site data champions and connect source-system stewardship to reliable data products. Resolve gaps in ownership, key performance indicator definitions, data quality, and integration with named owners and clear due dates.

AI and analytics in manufacturing

• Set priorities for AI, machine learning, advanced analytics, and generative AI in partnership with Manufacturing and the enterprise Technology and AI and Data team. Translate needs in capacity, productivity, readiness, reliability, and knowledge access into clear problem statements, requirements, baselines, and expected outcomes.
• Focus on practical applications such as daily performance management, monitoring and troubleshooting, equipment health, capacity planning and debottlenecking, knowledge access, and computer vision. Move successful pilots into supported production only when representative testing, data quality, human oversight, monitoring, support, and lifecycle ownership are in place.
• Work with Quality, Cybersecurity, and Technology teams to apply the right validation, data integrity, access, and change controls. Escalate unresolved risks before launch or expansion.

Deployment adoption and value realization

• Plan deployment waves with sites and enterprise partners based on business priority, product maturity, and local readiness. Confirm the people, integration work, training, and support needed before committing to a launch date, and raise unresolved ownership or resource conflicts quickly.
• Require a named site sponsor and business owner, engaged users, and a practical readiness and adoption plan before go-live. Partner with sites on workflow changes, training, launch support, and stabilization, with sites accountable for local implementation, adoption, and sustained results.
• Measure adoption and business impact separately from the number of deployments or users. Establish baselines and work with sites and Finance to confirm benefits in error and defect prevention, workforce productivity, asset performance, throughput, and capacity. Use the evidence to decide whether to expand, improve, or retire a solution.
  

People leadership and enterprise partnership

• Build, lead, and develop a global team of digital product, data, and innovation professionals. Set clear goals and accountability, strengthen product and data skills, and build a strong succession pipeline.
• Create trusted partnerships across Manufacturing, Engineering, Process Development, Quality, Supply Chain, Finance, Technology, AI and Data, and Amgen India. Resolve competing priorities, make trade-offs transparent, and communicate decisions, risks, and progress clearly to senior leaders.

How success will be measured

Success will be measured by whether the DMI portfolio is focused on the most important Manufacturing needs and whether priority capabilities move beyond pilots into reliable, supported use. Measures will include data quality and ownership, site readiness, adoption in daily work, timely portfolio decisions, reuse across the network, and sustained benefits in safety, quality, supply, productivity, asset performance, throughput, and capacity. Benefits and targets will be agreed with sites, Finance, and Manufacturing leadership.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The manufacturing professional we seek is a collaborative leader with these qualifications.

Basic qualifications

• Bachelor’s degree and 9 years of Engineering, Operations, or Digital Technology experience OR
• Master’s degree and 7 years of Engineering, Operations, or Digital Technology experience OR
• Doctorate degree and 4 years of Engineering, Operations, or Digital Technology experience

Preferred qualifications

• Demonstrated ability to apply analytical judgment, lead cross-functional teams, build strong working relationships, and translate complex manufacturing and technology issues into clear, executable plans.
• Experience leading digital, data, or technology transformation across a global biopharmaceutical manufacturing network, with practical knowledge of GxP operations, validation, and data integrity.
• A record of taking digital products or AI and analytics solutions from concept to supported production and multi-site use, with measurable manufacturing results.
• Experience establishing business data ownership and stewardship, common definitions, data quality standards, and integration across manufacturing systems and enterprise platforms.
• Practical experience applying AI, machine learning, generative AI, or predictive analytics to manufacturing, including readiness testing, human oversight, and ongoing monitoring.
• Demonstrated people leadership, talent development, portfolio management, and coordination of work across global teams and delivery partners.
• Strong business and financial judgment, change leadership, and continuous improvement skills, with the ability to prioritize limited resources and manage value across a product’s lifecycle.
• Clear executive communication, negotiation, facilitation, and conflict resolution skills; flexibility to work across regions and time zones and travel as business needs require.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

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Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer. We make all employment decisions without regard to race, color, religion, sex or any other characteristic protected by applicable law.

We provide reasonable accommodations to applicants and employees with disabilities, consistent with legal requirements. Please contact us to request accommodation.

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