Director Commercial Analytics

About the role

As the Director of Commercial Analytics, you will play a critical role in leading and guiding the overall analytics strategy for TEPEZZA in the U.S., working to accelerate business growth and speed up commercial decision-making processes. You will manage and mentor a high-performing team, delivering actionable insights that support brand strategy development and measurement, while driving data-driven decision-making across key business functions. This leader will be the primary point of contact between Executives, Marketing/Field Leaders, and cross-functional teams. You will oversee the development and delivery of robust secondary analytics, including National and Subnational insights, a KPI measurement framework, and other strategic recommendations that provide a clear and holistic understanding of business performance. By identifying risks, opportunities, and key growth drivers, you will help unlock barriers, optimize efficiencies, and guide business strategies toward accelerated growth.

Flexible Commuter role to Deerfield, IL or Thousand Oaks, CA Amgen office. You will work on-site a minimum of 2-3 days a week.

Key Skills & Competencies

• Leadership: Proven ability to lead, mentor, and develop a team of analysts while driving high performance.
• Analytics Strategy: Expertise in shaping and executing analytics strategies that align with business goals.
• Cross-functional Collaboration: Strong ability to work with a variety of stakeholders across sales, marketing, finance, and IT to drive alignment and action.
• Advanced Data Analysis: Strong proficiency in using tools like SQL, VBA, and Python to analyze complex commercial data.
• Commercial Acumen: Deep understanding of pharmaceutical business analytics, with experience in driving sales, marketing strategies, and market positioning.
• Communication: Ability to translate complex data into clear, actionable insights and present them to senior executives.
• Business Insights: Ability to identify trends and opportunities in commercial data that drive business growth and optimization.

Basic Qualifications

• Doctorate degree and 4 years of analytics and/or reporting experience OR Masters degree and 8 years of analytics and/or reporting experience OR Bachelors degree and 10 years of analytics and/or reporting experience
• In addition to meeting at least one of the above requirements, you must have at least 4 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above.

Preferred Qualifications

• Proven ability to engage with Executives and translate data into actionable insights
• Strong experience in designing dashboards and reporting on strategic business needs
• Expertise in analytics tools (e.g., Tableau) and integrating solutions across systems
• Ability to identify business problems and drive process optimization
• Track record of transforming raw data into meaningful business intelligence
• Strong communication skills for presenting complex data to executive audiences
• Experience leading teams and developing top talent in a matrixed organization
• Passion for data-driven storytelling and strategic decision-making
• Track record in identifying, retaining, and developing top talent required to build and sustain a diverse, hard-working team

Benefits

• 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
• Comprehensive employee benefits package, including a 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
• Flexible work models where possible