About The Position

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. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. 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. Live What you will do Let’s do this. Let’s change the world. The Commercial Decision Sciences team at Amgen serves as a key partner to the Commercial organization by ensuring data-driven insights and recommendations around promotional investments and strategies are provided to the organization to drive actionable insights. As the Executive Director of Commercial Decision Sciences, you will lead a team of Senior Directors and oversee a total team size of over 20 U.S.-based individuals with indirect oversight of an additional 50 individuals located in Portugal and India. The Executive Director of Decision Sciences is a senior commercial leader responsible for advancing data-driven decision-making across marketing, media, and promotional investment. This role leads a critical function within the Commercial organization, delivering advanced analytics, machine learning, and AI-powered modeling to optimize promotional spend and enable effective omnichannel orchestration across the brand lifecycle. Operating with significant autonomy, the role partners closely with senior marketing, brand, sales, and finance leaders to ensure that analytics insights directly inform commercial strategy and in-line optimization for our priority brands. The Executive Director of Decision Sciences translates complex analytical outputs into clear, actionable recommendations that guide investment trade-offs, scenario planning, and performance management across brands and channels. This position establishes and leads a high-performing Decision Sciences team, building scalable capabilities in omnichannel measurement, promotional effectiveness, and optimization. By integrating insights across media, digital engagement, sales activity, and market dynamics, the role helps improve the efficiency and effectiveness of commercial investments while supporting consistent, compliant, and patient- and HCP-centric engagement. As a trusted advisor to Commercial leadership, the Executive Director of Decision Sciences drives the adoption of advanced analytics into routine decision-making, elevates analytical rigor across the organization, and contributes meaningfully to the success of product launches, sustained in-line growth, and long-term commercial performance. Additionally, the Executive Director of Decision Sciences will play a pivotal role within the CD&A leadership team, collaborating closely with colleagues to ensure alignment and synergies across functions. This individual will work hand-in-hand with leaders from market research, analytics, competitive intelligence, field excellence, and other relevant areas to leverage their insights and expertise in developing comprehensive strategies and plans. In summary, this role represents an exciting opportunity to lead a talented team and collaborate with diverse stakeholders across the organization to develop, enhance and maintain robust data strategies and quarterly implementation plans that help fuel the analytical and reporting needs of the business, drive business growth and innovation in the dynamic pharmaceutical industry landscape.This position will report to the AVP of Portfolio Effectiveness and Optimization and will be responsible for the following pillars within the Commercial Decision Science team: Strategic Leadership & Vision Define and execute the long-term vision for Decision Sciences, including data science, media analytics, and investment optimization aligned with overall commercial and enterprise strategy Partner with senior commercial leaders to establish performance goals, success metrics, and analytics roadmaps that support product launches, in-line growth, and lifecycle management Advocate for and influence the company’s data and technology roadmap to ensure adoption of innovative data sources, analytical products, and advanced capabilities that improve investment efficiency and effectiveness Serve as a strategic advisor to leadership on emerging trends in analytics, AI/ML, media measurement, and commercial optimization Commercial Spend Optimization Oversee enterprise frameworks to allocate, track, and optimize brand commercial spend across and within channels Evaluate ROI, incremental impact, and cost-effectiveness of commercial activities to maximize value Lead the development and application of advanced analytical methodologies, including Marketing Mix Modeling (MMM), attribution analysis, uplift modeling, and scenario simulation Enable forward-looking planning through forecasting, optimization engines, and what-if scenario analysis to guide future investment decisions Media Analytics & Campaign Measurement Lead the design and evolution of media measurement methodologies across digital, traditional, and emerging channels Drive cross-channel effectiveness analysis to identify optimal media mix, frequency, and sequencing strategies Deliver actionable insights on audience engagement, reach, conversion, and patient and HCP behavior to improve campaign performance and targeting Ensure consistent measurement standards while adapting approaches to changing privacy regulations and data availability Cross-Functional Collaboration Collaborate closely with marketing, sales, finance, value, and access, medical, technology, and data strategy teams to ensure analytics solutions are aligned with business needs and compliant with regulatory requirements Support commercial teams with data-driven recommendations for launch strategy design, in-line optimization, and lifecycle investment decisions Function as Sponsorship for this role is not guaranteed. the primary liaison with external media agencies, analytics partners, and technology vendors, ensuring high-quality delivery and value realization Influence stakeholders to adopt insights and embed analytics into day-to-day decision-making Team Leadership & Capability Building Recruit, develop, and lead a high-performing team of data scientists, analysts, engineers, and analytics leaders Build scalable internal capabilities in advanced analytics, media measurement, budget optimization, and forecasting Foster a culture of continuous learning, innovation, and experimentation in commercial investments Establish best practices, standards, and governance for analytics development and deployment Reporting & Executive Communication Translate complex analytical findings into clear, compelling insights and recommendations for executive leadership and key stakeholders Deliver regular, concise updates on commercial spend performance, media ROI, optimization opportunities, and risks Support executive decision forums with fact-based perspectives and scenario analyses Additional Contributions Champion the ethical and compliant use of data and advanced analytics in a highly regulated environment Drive standardization and scalability of decision sciences solutions across brands Identify opportunities to leverage AI, machine learning, and automation to accelerate insight generation and decision-making Contribute to enterprise data strategy discussions, including data quality, governance, and architecture

Requirements

  • Doctorate degree & 6 years of decision science experience OR Master’s degree & 10 years of decision science experience OR Bachelor’s degree & 12 years of decision science experience
  • 6 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Nice To Haves

  • Leadership in building and developing high-performing teams, with a focus on fostering a culture of collaboration, innovation, and continuous improvement
  • Ability to quickly establish credibility with and influence senior executives at the SVP/VP level, effectively communicating complex concepts and insights to drive strategic decision-making
  • Alignment with best practices and a commitment to championing new and innovative methodologies and tools to enhance data strategies and solutions to drive business outcomes
  • Business acumen with a deep understanding of the context and dynamics of pharmaceutical markets, particularly within relevant disease areas, allowing for informed decision-making and strategic planning
  • Experience partnering closely with business leaders to deliver high-quality predictions and insights that guide strategic initiatives, optimize resource allocation, and maximize commercial success
  • Oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly to diverse audiences, including senior management and cross-functional stakeholders
  • Project management experience (planning, prioritization, objective setting, meeting management, and plan execution)

Responsibilities

  • Define and execute the long-term vision for Decision Sciences, including data science, media analytics, and investment optimization aligned with overall commercial and enterprise strategy
  • Partner with senior commercial leaders to establish performance goals, success metrics, and analytics roadmaps that support product launches, in-line growth, and lifecycle management
  • Advocate for and influence the company’s data and technology roadmap to ensure adoption of innovative data sources, analytical products, and advanced capabilities that improve investment efficiency and effectiveness
  • Serve as a strategic advisor to leadership on emerging trends in analytics, AI/ML, media measurement, and commercial optimization
  • Oversee enterprise frameworks to allocate, track, and optimize brand commercial spend across and within channels
  • Evaluate ROI, incremental impact, and cost-effectiveness of commercial activities to maximize value
  • Lead the development and application of advanced analytical methodologies, including Marketing Mix Modeling (MMM), attribution analysis, uplift modeling, and scenario simulation
  • Enable forward-looking planning through forecasting, optimization engines, and what-if scenario analysis to guide future investment decisions
  • Lead the design and evolution of media measurement methodologies across digital, traditional, and emerging channels
  • Drive cross-channel effectiveness analysis to identify optimal media mix, frequency, and sequencing strategies
  • Deliver actionable insights on audience engagement, reach, conversion, and patient and HCP behavior to improve campaign performance and targeting
  • Ensure consistent measurement standards while adapting approaches to changing privacy regulations and data availability
  • Collaborate closely with marketing, sales, finance, value, and access, medical, technology, and data strategy teams to ensure analytics solutions are aligned with business needs and compliant with regulatory requirements
  • Support commercial teams with data-driven recommendations for launch strategy design, in-line optimization, and lifecycle investment decisions
  • Function as the primary liaison with external media agencies, analytics partners, and technology vendors, ensuring high-quality delivery and value realization
  • Influence stakeholders to adopt insights and embed analytics into day-to-day decision-making
  • Recruit, develop, and lead a high-performing team of data scientists, analysts, engineers, and analytics leaders
  • Build scalable internal capabilities in advanced analytics, media measurement, budget optimization, and forecasting
  • Foster a culture of continuous learning, innovation, and experimentation in commercial investments
  • Establish best practices, standards, and governance for analytics development and deployment
  • Translate complex analytical findings into clear, compelling insights and recommendations for executive leadership and key stakeholders
  • Deliver regular, concise updates on commercial spend performance, media ROI, optimization opportunities, and risks
  • Support executive decision forums with fact-based perspectives and scenario analyses
  • Champion the ethical and compliant use of data and advanced analytics in a highly regulated environment
  • Drive standardization and scalability of decision sciences solutions across brands
  • Identify opportunities to leverage AI, machine learning, and automation to accelerate insight generation and decision-making
  • Contribute to enterprise data strategy discussions, including data quality, governance, and architecture

Benefits

  • health and welfare plans for staff and eligible dependents
  • financial plans with opportunities to save towards retirement or other goals
  • work/life balance
  • career development opportunities
  • Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • 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 and bi-annual company-wide shutdowns
  • Flexible work models, including remote work arrangements, where possible
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