Director, Global Product Management, Next Best Action

Key Responsibilities:

• Global role working with multiple countries across one Therapy Area leading and shaping our Next Best Action (NBA) product capabilities to deliver omnichannel marketing resulting in increased ROI.
• Directly liaise with local brand teams to ensure NBA is well positioned with marketing and operations team in country and that NBA is delivering incremental value to the business.
• Effective stakeholder management to align NBA enhancements with business priorities
• Working with cross functional teams to co-create and deliver enhancements in a timely manner, then working with brand and sales teams to drive pull through of enhancements.
• Partner with band teams to evolve personas, microsegments, recommendation strategies, and customer journeys.
• Directly manage offshore team to build and maintain NBA machine learning models and recommendation engines, seeking continual improvements in code to drive run time and cost efficiencies
• Develop customer-level targeting, prioritization, and orchestration algorithms across channels and content.
• Evaluate model performance and recommendation quality using appropriate statistical and machine learning methodologies.
• Conduct experimentation and testing to improve recommendation effectiveness and engagement outcomes.
• Identify opportunities to enhance model logic, feature engineering, and decision frameworks.
• Support model deployment, refresh cycles, and production execution activities.
• Collaborate closely with brand teams, IT, Marketing, Sales and Analytics teams to implement NBA roadmap
• Support​​ the development of comprehensive documentation and maintain a knowledge base to ensure business continuity, retain intellectual property, and facilitate information sharing.
• Ensure compliance with data privacy regulations (such as GDPR and HIPAA) and uphold the highest standards of data ethics.

Basic Qualifications:

Bachelor's Degree and Twelve Years’ Experience

OR

Masters' Degree and Ten Years’ Experience

OR

PhD and Eight Years’ Experience

Preferred Qualifications:

• A technical SME Lead with hands-on experience in design and development of recommendation systems
• A bachelor's Degree with at least 12 years’ experience, a minimum of 10 years' experience with a master’s degree, or a minimum of 8 years' experience with a PhD in quantitative field with extensive experience in building and managing next best action orchestration capabilities and technologies to deliver seamless customer-centric engagement experience
• Relevant experience with Omnichannel Marketing content personalization/Analytics/Market research.
• Experience working in US and international markets is preferred.
• Must possess good task management skills, planning, prioritization, objective setting, and meeting management and plan execution

• History of working and delivering on multiple projects simultaneously, with tight deadlines and changing priorities is required

• Exceptional written and verbal communication skills are required

• Experience in successfully presenting to senior leadership audiences, including simplifying complex materials, educating, and managing audiences with differing viewpoints to get to alignment via clear and compelling storylines

• Understanding of marketing/digital data sources across personal (e.g. in-person / virtual sales rep calls, samples etc.), non-personal promotions (e.g. email, direct mail, banner ads, website, mobile alerts), events (e.g. speaker program, conference), survey (e.g. online questionnaires etc.) and social data (e.g. Twitter, Facebook, Sermo, Doximity etc.)

• Experience with advanced ML algorithms is a plus, especially with CNNs, Genetic Algorithms, Collaborative Filtering and Reinforcement Learning

• Experience using secondary data sources that are extensively used in pharma (e.g. IQVIA LAAD, IQVIA XPO, IQVIA DDD, etc.)

• Work with Gilead IT partners to define specifications for automated campaign data ingestion from marketing agencies into Gilead AWS platform at a pre-defined frequency

• Experience developing, deploying, and operationalizing data science (AI/ML) models to drive next best action using Reinforcement learning and/or Deep learning algorithms

• Life Sciences Digital capabilities exposure (i.e., channels, ecosystem partners)

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 are receiving the 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:

https://www.gilead.com/careers/compensation-benefits-and-wellbeing

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