Lead and mentor a team of analysts and data practitioners to develop advanced analytics, applied AI, and marketing automation solutions that improve marketing performance and strengthen client relationships.
Compensation
Plan for your future: 401(k) with company match, profit sharing and annual bonus opportunities.
Responsibilities
Lead, mentor, and develop a team of analysts and data practitioners
Develop and execute a comprehensive marketing science strategy
Foster a data-driven culture within the agency
Serve as a senior client advisor translating complex analytics into clear recommendations
Conduct and oversee the analysis of marketing and customer data
Requirements
Master’s degree in Data Science, Statistics, Marketing, Business, or a related field
Lead the design, governance, and optimization of enterprise‑grade AI and data platforms that enable marketing operations and journey activations across omnichannel.
Responsibilities
Define and execute the marketing AI and data platform vision aligned with enterprise and marketing objectives
Lead the development of scalable, secure, and high‑performance AI‑driven data solutions
Partner with IT and engineering teams to embed and integrate scalable AI
Oversee the design and management of modern data architectures (cloud‑native, hybrid, multi‑cloud)
Partner on architectural design and lead business requirements for enterprise‑grade customer data platform (CDP)
Lead global product management for Next Best Action, shaping capabilities across multiple countries to deliver omnichannel marketing and increase ROI.
Compensation
The salary range for this position is:
Bay Area: $226,185.00 - $292,710.00.
Other US Locations: $205,615.00 - $266,090.00.
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.
Responsibilities
Lead global NBA product capabilities across multiple countries
Liaise with local brand teams to position NBA with marketing and operations
Manage offshore team to build and maintain NBA machine learning models
Develop customer-level targeting, prioritization, and orchestration algorithms
Evaluate model performance and recommendation quality
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