Director, Global Product Management – Next Best Action

Gilead Sciences

. Lead and shape Next Best Action product capabilities across multiple countries and one therapy area .

Posted 11/6/2026full-timeUnited StatesLead💰 $226,185 - $292,710 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and managing Next Best Action product capabilities, leveraging advanced machine learning algorithms and recommendation systems to drive business value. Proven ability to collaborate across cross-functional teams and ensure compliance with data ethics standards.

Highest-signal resume keywords

Next Best Action OrchestrationRecommendation Systems DevelopmentAdvanced Machine Learning AlgorithmsStakeholder ManagementOmnichannel Marketing Personalization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningRecommendation AlgorithmsData ScienceFeature EngineeringStatistical AnalysisModel EvaluationCustomer Journey MappingTargeting AlgorithmsData Ethics ComplianceExperimentation and Testing

Soft Skills

Task ManagementPlanningCommunicationTeam LeadershipPresentation Skills

Tools & Technologies

IQVIA LAADIQVIA XPOIQVIA DDDData Analytics ToolsCollaboration Platforms

Industry Keywords

Life SciencesDigital MarketingOmnichannel StrategyMarket ResearchGDPR ComplianceHIPAA Compliance

About the role

Key responsibilities & impact

Lead and shape Next Best Action product capabilities across multiple countries and one therapy area
Liaise with local brand teams to position NBA with marketing and operations teams and deliver incremental business value
Manage stakeholders and align NBA enhancements with business priorities
Co-create and deliver enhancements with cross-functional teams, then drive pull-through with brand and sales teams
Evolve personas, microsegments, recommendation strategies, and customer journeys
Directly manage an offshore team building and maintaining NBA machine learning models and recommendation engines
Develop customer-level targeting, prioritization, and orchestration algorithms across channels and content
Evaluate model performance and recommendation quality using statistical and machine learning methodologies
Conduct experimentation and testing to improve recommendation effectiveness and engagement outcomes
Enhance model logic, feature engineering, and decision frameworks
Support model deployment, refresh cycles, and production execution
Collaborate with brand, IT, Marketing, Sales, and Analytics teams to implement the NBA roadmap
Develop documentation and maintain a knowledge base for business continuity, intellectual property retention, and information sharing
Ensure compliance with GDPR, HIPAA, and data ethics standards
Create inclusion, develop talent, and empower teams as a people leader

Requirements

What you’ll need

Bachelor's Degree and Twelve Years’ Experience OR Masters' Degree and Ten Years’ Experience OR PhD and Eight Years’ Experience
Hands-on experience in design and development of recommendation systems
Extensive experience building and managing next best action orchestration capabilities and technologies
Relevant experience with omnichannel marketing content personalization, analytics, or market research
Good task management skills, planning, prioritization, objective setting, meeting management, and plan execution
History of working and delivering on multiple projects simultaneously with tight deadlines and changing priorities
Exceptional written and verbal communication skills
Experience presenting to senior leadership audiences and simplifying complex materials
Understanding of marketing/digital data sources across personal, non-personal promotions, events, survey, and social data
Experience with advanced ML algorithms, especially CNNs, Genetic Algorithms, Collaborative Filtering, and Reinforcement Learning
Experience using secondary pharma data sources such as IQVIA LAAD, IQVIA XPO, and IQVIA DDD
Experience developing, deploying, and operationalizing data science AI/ML models using Reinforcement Learning and/or Deep Learning algorithms
Life Sciences digital capabilities exposure
Experience working in US and international markets preferred

Benefits

Comp & perks

Discretionary annual bonus
Discretionary stock-based long-term incentives
Paid time off
Company-sponsored medical insurance
Company-sponsored dental insurance
Company-sponsored vision insurance
Company-sponsored life insurance
Reasonable accommodation assistance for applicants who require accommodation