Associate Director of Consumer Strategy & Activation
Location : Foster City, California (Hybrid)
As the Associate Director of Consumer Strategy & Activation, you will play a pivotal role in identifying, defining, and targeting the right audiences to drive engagement and meet brand objectives. This role requires a deep understanding of data modeling techniques and a strategic approach to audience segmentation, ensuring that campaigns reach the right people with the right message at the right time.
Key Responsibilities
- Audience Segmentation & Modeling : Develop advanced machine learning models and statistical algorithms to create highly-targeted audience segments, leveraging modeled audience techniques (e.g., 3P LAL, look‑alike modeling) based on consumer behaviors, demographics, and other relevant factors.
- Audience Activation : Work with cross‑functional teams to activate audience segments across digital channels, ensuring that audience strategies align with marketing goals and KPIs.
- Optimization & Campaign Analysis : Continuously monitor and optimize audience performance based on campaign results, using data science techniques to improve targeting accuracy and campaign effectiveness.
- Clean Room / LiveRamp Expertise : Leverage experience with LiveRamp, data clean‑room environments, or similar platforms to manage and enhance consumer data analysis, ensuring seamless data integration and privacy‑compliant collaboration across multiple data sources.
- Data Management & Governance : Ensure data quality and accuracy when leveraging audience data for campaign execution, adhering to best practices in data privacy, governance, and security standards.
- Cross‑functional Collaboration : Work closely with marketing, data analytics, media, and creative teams to align audience targeting with campaign strategies, messaging, and creative direction.
Required Qualifications
Proven experience in audience segmentation, audience creation, and data‑driven marketing, with a focus on modeling techniques such as look‑alike modeling (3P LAL) and predictive modeling.Advanced proficiency in Python for data analysis, modeling, and automation.Strong experience with SQL for data querying and manipulation.Familiarity with integrating and analyzing consumer data from multiple sources (e.g., 1P, 3P claims, SDoH, SFMC).Knowledge of privacy regulations and data protection laws related to consumer and healthcare data.Strong analytical and problem‑solving skills with the ability to uncover insights, solve complex business problems, and improve audience targeting strategies.Basic Qualifications
Bachelor’s degree and 10 years of relevant experience, orMaster’s degree and 8 years of relevant experience, orPhD with 5 years of relevant experiencePreferred Qualifications
Experience with pharma data and familiarity with platforms such as LiveRamp.Experience working with large‑scale consumer data sets and managing audience targeting for media buying and advertising strategies.Expertise in look‑alike modeling (3P LAL) to generate high‑quality, actionable audience insights for campaign activation.People Leader Accountabilities
Create Inclusion : Model inclusion and embed the value of diversity in the way the business is managed.Develop Talent : Understand the skills, experience, aspirations, and potential of employees and coach them on current performance and future potential.Empower Teams : Connect the team to the organization by aligning goals, purpose, and objectives, and removing barriers to enable broader integration.Compensation and Benefits
Salary range : $195,670.00 – $253,220.00.
Benefits include company‑sponsored medical, dental, vision, and life insurance plans; discretionary annual bonus; stock‑based long‑term incentives; paid time off; and a comprehensive benefits package.
Equal Employment Opportunity
Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants. Employment decisions will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information, gender identity, veteran status, or any other protected characteristic.
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