Gilead Sciences, Inc.
Director, Business Intelligence – Medical Affairs
Gilead Sciences, Inc., Foster City, California, United States, 94420
Director, Business Intelligence – Medical Affairs
United States - New Jersey - Parsippany, United States - California - Foster City Medical Affairs Regular
Job Description
The Director of Business Intelligence, for Medical Affairs will serve as a player/coach to lead the development and execution of analytics excellence that support strategic decision-making and optimize the performance of medical field teams. In collaboration with cross functional partners, including Medical Excellence, Scientific Communication and MA Technology, this individual will design and implement analytical processes, tools and frameworks to generate trends, patterns, relationships and key insights from real-world data, field activities, and medical operations, ensuring that analytics drive both strategic planning and tactical execution. The ideal candidate brings expertise in decision science, data visualization, business application of descriptive/diagnostic analytics, and field operations, with a strong understanding of medical affairs in the life sciences industry.
Key Responsibilities
Use decision science frameworks to design models, simulations, and optimization tools that guide MA activities and performance such as field engagement, scientific communication, and product launch support.
Identify, define and track key performance indicators and leading and lagging measures to evaluate the effectiveness and impact of medical activities, including field activities, medical education, KOL engagements and patient engagement efforts, in alignment with Medical Affairs’ strategic imperatives.
Lead the team and act as a champion in transforming data into clear, visually engaging, and compelling narratives that drive business actions.
Collaborate and lead the development of field analytics tools that provide actionable insights to field-based medical teams, enabling efficient planning and engagement, and leadership reporting tools to track activities, engagement quality, and the effectiveness of scientific interactions.
Lead performance analytics to optimize territory management, resource allocation, and key opinion leader (KOL) engagement strategies.
Develop and implement best practices, governance and standards for data visualization, dashboard design, and reporting to ensure consistency, quality, accuracy and scalability across global MA analytics initiatives.
Oversee the design, development, and optimization of dashboards, reports, and analytics tools using platforms such as Spotfire, Power BI, or Tableau, to provide a comprehensive view of company performance.
Support the integration of predictive analytics, machine learning, and AI to enable proactive decision-making and scenario planning.
Collaborate with medical affairs, clinical operations, commercial, IT, and other cross-functional teams to align analytics initiatives with business priorities.
Present key insights, models, and analytics tools to senior leadership, translating complex data into actionable recommendations.
Stay ahead of industry trends and emerging technologies in data analytics ensuring solutions remain innovative and competitive.
Qualifications
Bachelor’s degree in Data Science, Business Analytics, Life Sciences, or related field (Master’s or MBA preferred).
10+ years of experience in business intelligence, decision science, or analytics, with at least 5 years in a leadership role.
Strong understanding of medical affairs operations, field team activities, and the pharmaceutical product lifecycle.
Expertise in BI tools such as Spotfire, Power BI, Tableau, or Qlik, and proficiency in data querying languages (e.g., SQL).
Proven ability to manage cross-functional projects and lead high-performing teams.
Strong communication and stakeholder management skills, with the ability to translate complex data into actionable insights.
Knowledge of territory management, KOL engagement strategies, and field team optimization.
Familiarity with cloud platforms (e.g., AWS, Azure) and advanced analytics frameworks.
Experience with predictive analytics, machine learning, and AI in the context of medical affairs.
Certification in project management (PMP, Agile) is a plus.
The salary range for this position is: $221,170.00 - $286,220.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans.
For additional benefits information, visit:
Gilead Benefits .
As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws.
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Job Description
The Director of Business Intelligence, for Medical Affairs will serve as a player/coach to lead the development and execution of analytics excellence that support strategic decision-making and optimize the performance of medical field teams. In collaboration with cross functional partners, including Medical Excellence, Scientific Communication and MA Technology, this individual will design and implement analytical processes, tools and frameworks to generate trends, patterns, relationships and key insights from real-world data, field activities, and medical operations, ensuring that analytics drive both strategic planning and tactical execution. The ideal candidate brings expertise in decision science, data visualization, business application of descriptive/diagnostic analytics, and field operations, with a strong understanding of medical affairs in the life sciences industry.
Key Responsibilities
Use decision science frameworks to design models, simulations, and optimization tools that guide MA activities and performance such as field engagement, scientific communication, and product launch support.
Identify, define and track key performance indicators and leading and lagging measures to evaluate the effectiveness and impact of medical activities, including field activities, medical education, KOL engagements and patient engagement efforts, in alignment with Medical Affairs’ strategic imperatives.
Lead the team and act as a champion in transforming data into clear, visually engaging, and compelling narratives that drive business actions.
Collaborate and lead the development of field analytics tools that provide actionable insights to field-based medical teams, enabling efficient planning and engagement, and leadership reporting tools to track activities, engagement quality, and the effectiveness of scientific interactions.
Lead performance analytics to optimize territory management, resource allocation, and key opinion leader (KOL) engagement strategies.
Develop and implement best practices, governance and standards for data visualization, dashboard design, and reporting to ensure consistency, quality, accuracy and scalability across global MA analytics initiatives.
Oversee the design, development, and optimization of dashboards, reports, and analytics tools using platforms such as Spotfire, Power BI, or Tableau, to provide a comprehensive view of company performance.
Support the integration of predictive analytics, machine learning, and AI to enable proactive decision-making and scenario planning.
Collaborate with medical affairs, clinical operations, commercial, IT, and other cross-functional teams to align analytics initiatives with business priorities.
Present key insights, models, and analytics tools to senior leadership, translating complex data into actionable recommendations.
Stay ahead of industry trends and emerging technologies in data analytics ensuring solutions remain innovative and competitive.
Qualifications
Bachelor’s degree in Data Science, Business Analytics, Life Sciences, or related field (Master’s or MBA preferred).
10+ years of experience in business intelligence, decision science, or analytics, with at least 5 years in a leadership role.
Strong understanding of medical affairs operations, field team activities, and the pharmaceutical product lifecycle.
Expertise in BI tools such as Spotfire, Power BI, Tableau, or Qlik, and proficiency in data querying languages (e.g., SQL).
Proven ability to manage cross-functional projects and lead high-performing teams.
Strong communication and stakeholder management skills, with the ability to translate complex data into actionable insights.
Knowledge of territory management, KOL engagement strategies, and field team optimization.
Familiarity with cloud platforms (e.g., AWS, Azure) and advanced analytics frameworks.
Experience with predictive analytics, machine learning, and AI in the context of medical affairs.
Certification in project management (PMP, Agile) is a plus.
The salary range for this position is: $221,170.00 - $286,220.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans.
For additional benefits information, visit:
Gilead Benefits .
As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws.
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