Protecting the business by conducting thorough due diligence and risk assessments on external suppliers, driving best practices and process improvements.
Responsibilities
Conduct end-to-end third-party risk assessments, minimum due diligence, and control evaluations.
Review and analyze vendor compliance documentation, including control reports, certifications and security policies to validate their cybersecurity and operational resilience postures.
Identify control gaps in vendor controls.
Work directly with vendors to agree on appropriate remediation actions and track them to completion.
Manage a continuous pipeline of vendor assessments, ensuring that reviews are completed efficiently, accurately, and within agreed-upon service level expectations.
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
Support the Compliance and Client Lifecycle Integrity (CLI) departments by simplifying access to data, automating processes and contributing to the development of AI into the tasks of the Compliance and Client Lifecycle Integrity departments.
Responsibilities
Process streamlining and automation
Data Stewardship
Reporting & Regulatory Support
Compliance Analysis
Ad-hoc Projects
Requirements
Master's degree in a Quantitative field, Engineering, Computer Science or Data Science
The role provides analytical support across core cybersecurity risk management processes, including exceptions management, issues management, and the cybersecurity risk register, as well as policies and standards maintenance and risk metrics/KPI reporting.
Responsibilities
Support the end-to-end exceptions lifecycle, including reviewing exception assessments, performing risk analysis, and coordinating with subject matter experts (SMEs) to validate risk ratings
Prepare exception submissions for approval and acceptance, ensuring documentation meets process and audit standards
Track exception status, expirations, and renewals, and follow up with control/process owners as needed
Maintain exceptions management tooling and templates to support consistent intake and processing
Process and risk-rate individual instances of non-compliance identified through audits, assessments, or self-identification
Requirements
Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or Computer Engineering
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