Sales & Marketing Operations
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. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.
Let’s do this. Let’s change the world. In this vital role you will serve as a senior enterprise leader responsible for building the technology, operations, data, and applied analytics enablement foundation.
This role combines Technology & Operational Enablement with strategic data partnerships, data purchases, and applied data science. You will define how the Obesity organization identifies, acquires, governs, connects, and activates data across Commercial, Medical, Market Access, Finance, Forecasting, Operations, Digital, IS, AI&D, GCCI, and other enterprise partners. You will also lead a small, high-impact team of data scientists focused on prototyping, validating, and helping deploy decision products, AI-enabled tools, and scalable analytics solutions that convert complex inputs into trusted action.
The successful candidate will operate at the intersection of business strategy, data strategy, technology enablement, operational excellence, applied data science, AI&D partnership, and enterprise execution. This leader will serve as the Obesity business owner for the decision-intelligence roadmap, ensuring data and technology investments translate into faster decisions, stronger adoption, improved operating discipline, and measurable impact.
Operating with a high degree of autonomy, you will partner closely with senior and executive leaders, the enterprise data team, AI&D, IS, and GCCI to build an integrated, governed, AI-ready Obesity data ecosystem and decision-intelligence gateway. You will influence across a complex matrix, lead high-performing teams, and establish the operating model required to support near-term execution and long-term leadership.
This is a Flexible Commuter role based at the Thousand Oaks, CA campus, with an expectation of at least 3 days per week on-site.
Lead the Technology & Operational Enablement agenda for Obesity Intelligence & Analytics, ensuring the organization has the platforms, workflows, operating model, and execution discipline required to scale insights across the enterprise.
Serve as the business owner for the Obesity decision-intelligence roadmap, aligning data assets, analytics products, technology capabilities, applied data science, and operating rhythms to the highest-value needs.
Define Obesity data needs and partner closely with the enterprise data team, AI&D, IS, and GCCI to shape the architecture for the Obesity data ecosystem and decision-intelligence gateway, including governed data models, semantic and knowledge layers, and reusable data products that enable scalable analytics, self-service insights, and deployment of agentic solutions.
Define how Obesity teams request, prioritize, build, validate, deploy, and maintain analytics products, dashboards, decision tools, data assets, and AI-enabled solutions.
Lead development of an integrated Obesity intelligence ecosystem, including governed reporting layers, decision dashboards, self-service analytics, KPI frameworks, risk monitoring, and executive decision support.
Drive standardization of critical business definitions, metrics, methodologies, reporting cadences, and data products across the Obesity organization.
Reduce fragmentation, duplicative reporting, manual workflows, and inconsistent assumptions by building scalable enablement processes across functions.
Establish operating rhythms that improve decision speed, accountability, data transparency, and cross-functional alignment.
Lead the end-to-end data partnership and purchasing strategy for Obesity, ensuring alignment with brand strategy, lifecycle planning, access priorities, medical objectives, forecasting needs, and enterprise data strategy.
Translate priorities into a sequenced data roadmap that identifies the highest-value data assets, supplier partnerships, analytics capabilities, and investment trade-offs required to support Obesity decisions.
Partner with AI&D and enterprise data leaders to ensure external data purchases are fit for analytics, AI-enabled use cases, scalable data products, and long-term decision intelligence needs.
Partner with GCCI to evaluate, prioritize, negotiate, onboard, and renew external data sources, including secondary data, claims, EMR/EHR, consumer, HCP, payer, patient journey, social, digital, and emerging data sources.
Ensure each data purchase has a clear business purpose, decision linkage, ownership model, quality standard, adoption plan, and measurable value expectation.
Provide an objective senior perspective to leadership on data requirements, supplier performance, capability gaps, and implications for brand, access, medical, commercial, forecasting, and lifecycle strategy.
Partner with Legal, Sourcing, Compliance, Privacy, IS, GCCI, AI&D, and business stakeholders to ensure data acquisition and supplier engagement meet appropriate governance, contracting, privacy, regulatory, and operational standards.
Lead a small, high-caliber team of data scientists and applied analytics talent focused on rapid prototyping, business validation, deployment support, and adoption of high-value decision solutions.
Serve as the primary Obesity Intelligence & Analytics partner to AI&D, ensuring enterprise AI capabilities are applied to the highest-value Obesity use cases and embedded into practical business workflows.
Shape and manage the applied analytics and decision-product roadmap, including solutions for insight synthesis, forecasting, segmentation, targeting, performance monitoring, patient journey analytics, competitive sensing, and executive decision support.
Partner with AI&D and IS to assess, prioritize, pilot, validate, scale, and govern AI-enabled solutions in alignment with enterprise standards, model governance, responsible use principles, and business adoption needs.
Build the bridge between Obesity business stakeholders and technical teams by translating ambiguous strategic questions into clear data requirements, analytics methods, solution designs, and decision outputs.
Ensure prototypes are translated into durable, compliant, business-owned capabilities with clear adoption plans, quality controls, support models, and measurable impact.
Establish governance standards for Obesity data assets, analytics products, AI-enabled tools, supplier outputs, prototypes, dashboards, and decision-support materials.
Ensure data quality, integrity, lineage, transparency, and compliance across internal teams, external vendors, and cross-functional users.
Partner with Legal, Sourcing, Compliance, Privacy, IS, AI&D, GCCI, Medical, and Commercial stakeholders to ensure appropriate use of data and analytics across promotional, non-promotional, medical, access, and enterprise contexts.
Ensure AI-enabled solutions developed or deployed for Obesity have appropriate business ownership, validation, documentation, human review, lifecycle management, and adoption controls.
Lead, mentor, and develop a small, high-performing team while influencing across the matrix to align stakeholders around common definitions, priorities, decisions, and operating rhythms.
Serve as a trusted advisor to senior and executive leaders, bringing an enterprise perspective to ambiguous, high-stakes business questions.
We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.
Doctorate degree and 5 years of analytics, data strategy, or related experience OR
Master’s degree and 7 years of analytics, data strategy, or related experience OR
Bachelor’s degree and 9 years of analytics, data strategy, or related experience
Demonstrated experience supporting commercial strategy within General Medicine and/or Obesity
Proven ability to lead large-scale analytics organizations with measurable business impact
Strong expertise in secondary data, analytics, and AI-enabled methodologies
Track record of translating complex insights into clear strategic and tactical actions
Experience acting as a trusted advisor to senior and executive leadership
Strong people leadership capabilities, including experience developing managers and future leaders
Ability to frame and solve ambiguous business problems using structured, data-driven approaches
Excellent stakeholder management skills across functions and leadership levels
Exceptional oral, written, and visual communication skills, with the ability to simplify complex concepts for executive audiences
Ability to influence decisions and outcomes in a highly matrixed environment
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.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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 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 diverse, 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 and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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210,100.45USD -284,253.55 USD
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Amgen is a biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics. The company focuses on addressing serious illnesses through biological science and serves patients globally across therapeutic areas including oncology, cardiovascular disease, and inflammation.
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