Associate Director, Marketing Sciences

At Gilead were creating a healthier world for all people. For more than 35 years weve tackled diseases such as HIV viral hepatitis COVID-19 and cancer working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.

Every member of Gileads team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions and were looking for the next wave of passionate and ambitious people ready to make a direct impact.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future you are the key driver in evolving our culture and creating an environment where every employee feels included developed and empowered to fulfil their aspirations. Join Gilead and help create possible together.

Job Description

AtGileadour pursuit of a healthier world for all people has yielded a cure for hepatitis C revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers.

We set and achieve bold ambitions in our fight against the worlds most devastating diseases united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come.

Associate Director Marketing Sciences at Gilead leads the design development and scaling of advanced omnichannel machine learning (ML) capabilities to enhance datainformed commercial decision making. The role focuses on modeling HCP engagement patterns understanding sales and patientjourney dynamics translating complex commercial questions into rigorous analytical solutions and delivering measurable impact across brand sales and omnichannel initiatives.

This position partners closely with crossfunctional stakeholders across Marketing Commercial Operations Product Management Data Engineering and Digital teams to build reproducible scalable machine learning products. Responsibilities include developing and maintaining predictive models nextbestaction algorithms content processing frameworks and experimentation methodologies; operationalizing these solutions into production environments; and ensuring ongoing model performance and governance while partnering with the measurement team to integrate their insights and feedback into our solutions across markets and therapeutic areas.

The Associate Director is also expected to provide scientific and technical leadershipshaping omnichannel machine learning strategy and influencing senior stakeholders through clear storytelling and actionable recommendations. Success in the role requires deep expertise in machine learning and applied statistics experience working in regulated pharmaceutical commercial environments and the ability to balance innovation with enterprisegrade execution at scale.

Key Responsibilities:

Omnichannel Machine Learning Strategy & Solution Development

• Lead the design development and scaling of omnichannel machinelearning capabilitiesincluding sales content and engagement machine learning models contentranking systems and engagement prediction frameworksto support datainformed commercial decision making.

• Establish sustainable reproducible methodologies for building and deploying ML solutions ensuring longterm maintainability and alignment with enterprise architecture and commercial strategy.

• Partner with Marketing Science measurement teams to incorporate analytical feedback performance insights and validation results into model enhancements and roadmap evolutionwithout owning measurement design itself.

• Conduct technical feasibility assessments for omnichannel solution development and collaborate with IT and Commercial Operations on buyvsbuild decisions.

• Define platform and infrastructure needs in partnership with IT ensuring efficient data pipelines model execution environments and integration into commercial systems (e.g. CRM orchestration platforms).

CrossFunctional Omnichannel & ML Initiatives

• Serve as a commercial point of contact for enterprisewide ML policies model governance and data science integration workstreams ensuring that omnichannel ML use cases adhere to regulatory and compliance requirements.

• Collaborate with global (US and exUS) affiliates to understand marketspecific omnichannel needs and translate them into scalable use cases; act as subjectmatter expert for Omnichannel and MLdriven engagement solutions across regions.

• Partner with GDI Digital and US Commercial teams to plan and operationalize Omnichannel ML rollouts ensuring consistency sustainability and alignment to global standards.

• Introduce industry best practices in data science ML engineering and MLOpsfocusing on omnichannel personalization customer engagement and commercial analytics.

Basic Qualifications:

• Bachelors degree in Data Science Computer Science Statistics Engineering Applied Mathematics or a related quantitative field and ten (10) years of relevant experience

OR

• Masters degree in a relevant quantitative field and eight (8) years of relevant experience

OR

• PhD in a relevant quantitative field and two (2) years of relevant experience

Preferred Qualifications:

• Bachelors degree with 10 years Masters degree with 8 years or PhD with 6 years of experience in data science machine learning engineering analytics computer science or related quantitative fields.

• Proven experience developing deploying and scaling machinelearning solutions in commercial or omnichannel environments (e.g. nextbestaction personalization models engagement prediction).

• Demonstrated success operationalizing ML solutions from pilot to production including data pipeline design MLOps model monitoring and performance optimization.

• Experience collaborating with measurement insights and commercial analytics teams to integrate validation feedback and refine MLdriven recommendations.

• Strong ability to translate complex technical concepts into clear businessfocused narratives tailored for senior commercial stakeholders.

• Deep understanding of omnichannel data structures (HCP engagement CRM digital behaviors) and familiarity with pharmaceutical commercial processes and compliance considerations.

• Ability to influence crossfunctional partners drive alignment and lead enterprisescale technical initiatives in a matrixed organization.

Data and Technical Skills:

• Deep expertise working with pharmaceutical commercial datasets including IQVIA Xponent DDD NPA medical & pharmacy claims formulary/coverage data and HCP reference data; experienced in integrating digital engagement signals (email web CRM field activity) for omnichannel modeling.

• Proven ability to design and engineer machinelearning solutions for nextbestaction HCP engagement prediction customer journey modeling and omnichannel personalization.

• Proficiency with modern cloudbased data and ML platforms (e.g. AWS Databricks Azure ML) including scalable data pipelines and model deployment frameworks.

• Handson experience with containerization and orchestration technologies (e.g. Docker Kubernetes) to support productiongrade ML workflows.

• Strong understanding of regulatory and compliance considerations relevant to commercial analytics and ML including HIPAA GDPR FDA guidance and principles for responsible data use.

• Fluency in modern ML engineering tooling and languages (e.g. Python PySpark MLflow Airflow feature store technologies).

• Experience operationalizing ML solutions into enterprise ecosystems such as CRM systems omnichannel orchestration platforms and customer data platforms (CDPs).

Non-Technical Skills:

• Recognized as a trusted machine learning engineer to Commercial Marketing Digital and crossfunctional teams with the ability to influence omnichannel strategy through machine learning algorithms and datadriven recommendations.

• Exceptional written and verbal communication skills with the ability to translate complex technical concepts into clear narratives tailored for senior business stakeholders.

• Demonstrated experience leading and influencing seniorlevel stakeholders in a matrixed organization driving alignment across technical and commercial functions.

• Proven ability to deliver complex multistakeholder programs with measurable business impact from concept through production deployment.

• Strong capability to evaluate pressuretest and pilot external technologies and vendor solutions relevant to omnichannel engagement machine learning engineering and commercial analytics.

Competencies:

• Structured Problem Solving - Demonstrates the ability to bring clarity to complex challenges by applying structured thinking guiding teams throughambiguity and mobilizing resources to deliver timely and effective solutions.

• Collaborative Influence - Influences without direct authority by building trust demonstrating subject matter expertise and communicating withauthenticity. Listens actively adapts messaging to the audience and uses data-driven persuasion to align stakeholders.

• Results Orientation - Maintains a strong focus on outcomes consistently driving toward ambitious goalseven in the face of adversity. Takes ownership makes informed decisions and ensures accountability to move initiatives forward.

• Strategic - Anticipates evolving business needs and market dynamics. Translates vision into actionable plans identifies growth opportunities and adjusts priorities to align with long-term objectives.

• Measurement-Driven - Champions a culture of evidence-based decision-making. Designs and executes strategies with measurable impact leveraging KPIs and analytics to track performance and optimize results.

• Enterprise Thinking Advocates for decisions and actions that foster cross-functional collaboration and breaking down silos to drive unified outcomes. Encourages a big-picture perspective long-term value creation and a unified approach to business challenges ensuring that decisions promote the overall health and success of the organization.

People Leader Accountabilities:

• Create Inclusion - knowing the business value of diverse teams modeling inclusion and embedding the value of diversity in the way they manage their teams.

• Develop Talent - understand the skills experience aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees receive feedback and insight needed to grow develop and realize their purpose.

• Empower Teams - connect the team to the organization by aligning goals purpose and organizational objectives and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.

The salary range for this position is:

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:

Eligible employees may participate in benefit plans subject to the terms and conditions of the applicable plans.

For jobs in the United States:

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For Current Gilead Employees and Contractors:

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