Digital & Analytics Capability Lead ( Sr. Director)

Data & Analytics Capability Lead (Sr. Director)

Location: Philadelphia, PA or Durham, NC

The Data & Analytics Capability Lead (DACL) is responsible for owning and scaling enterprise-wide data and analytics capabilities across the U.S. Commercial organization. This role serves as the single accountable owner of shared analytics platforms, standards, models, and tools used across therapeutically aligned Business Units (BUs), ensuring consistency, reuse, scalability, and sustained adoption.

The role enables BU Data & Analytics (D&A) teams to deliver high-quality insights efficiently by providing robust, enterprise-grade analytics foundations-including core KPIs, shared data products, and analytics methodologies-while avoiding duplication and bespoke solutions. The DACL operates with a strong product and platform mindset, partnering closely with BU D&A leaders, Technology, Governance, and Shared Services to embed capabilities into real decision workflows.

The incumbent will report directly to the U.S. Commercial VP of Strategy, Insights, Transformation, and Operations (SITO) with a dotted line to the VP, Chief Digital & Technology Officer, US. The partnership between these groups is inherent to the success of GSK's U.S. business. Team members from Digital & Tech will have dotted line remit to the DACL to foster collaboration and change meeting the pace of the business. The DACL will also directly manage a team of nine employees and must demonstrate the following core competencies.

• Enterprise mindset with strong product orientation
• Ability to balance standardization with business flexibility
• Strong influencing and stakeholder management skills
• Clear, structured communicator with senior leaders
• Bias toward scalable, reusable solutions over oneoff delivery

Key Responsibilities:

Enterprise D&A Capability & Product Ownership

• Own the enterprise D&A product and capability portfolio, including shared analytics platforms, tools, standards, and core models used across BUs.
• Define and maintain enterprise analytics standards (e.g., KPIs, methodologies), clearly articulating what is standard, configurable, or BU-specific.
• Establish and manage the enterprise D&A capability roadmap, prioritizing investments based on reuse, scalability, and enterprise value.

Capability Build, Scale, and Adoption

• Lead and develop D&A Capability teams covering shared analytics standards and tooling, data operations & support, marketing and field operations support, and data governance (as in scope).
• Stand up cross-functional capability pods to design, build, and industrialize new enterprise analytics capabilities, transitioning them into stable, scalable platforms.
• Drive adoption and sustained usage of enterprise capabilities by embedding them into BU decision processes and operating rhythms.

Standards, Consistency, and Reuse

• Ensure consistency and comparability of analytics outputs across BUs, particularly in areas such as performance reporting, and omnichannel measurement.
• Increase the reuse rate of shared analytics assets (platforms, models, tools) and reduce bespoke BU solutions.
• Establish clear guardrails to minimize duplication while allowing appropriate BU flexibility where required.

CrossFunctional Partnership

• Partner closely with BU D&A Leads to enable BU decision-making without taking ownership of BU priorities or outcomes.
• Collaborate with Technology to ensure analytics platforms are stable, scalable, and fit for enterprise use.
• Work with Governance to embed data quality, standards, and compliance into enterprise analytics capabilities.
• Coordinate with Shared Services to ensure repeatable analytics work is delivered efficiently using enterprise standards.

People Leadership & Organizational Effectiveness

• Build and lead a high-performing D&A Capability organization, fostering a culture focused on scale, reuse, and enterprise impact.
• Develop talent with strong product thinking, change leadership, and ability to operate effectively in a matrixed environment.
• Establish clear accountability, decision rights, and ways of working across capability teams.

Decision Rights

The DACL has final decision authority on:

• Cross-BU analytics standards, shared platforms, tools, and models
• The enterprise D&A capability roadmap and sequencing of investments
• Decisions related to which capabilities are standardized, federated, or BU-specific
• When to launch, scale, or retire enterprise analytics capabilities

The role does not own BU business priorities or decisions, but enables them through strong, scalable analytics foundations.

Success Measures

Success in this role will be measured by:

• High adoption and sustained usage of enterprise D&A platforms and standards across BUs
• Increased reuse of shared analytics capabilities versus bespoke development
• Improved speed, consistency, and reliability of analytics delivery
• Stable, scalable, and trusted enterprise analytics
• Positive BU D&A feedback on enablement, relevance, and usability of shared tools

Why You?

Basic Qualifications

• Bachelor's degree in a quantitative or relevant field (e.g., Analytics, Statistics, Engineering, Economics, Data Science)
• At least 10 years of experience in analytics, data, or insight roles with increasing leadership responsibility
• Proven experience building and scaling enterprise analytics platforms, standards, or shared capabilities
• Demonstrated success leading teams in a matrixed, crossBU environment
• Strong understanding of analytics product management, capability road mapping, and change adoption
• Demonstrated leadership of people and teams
• Overall 10+ years of professional experience in quantitative analysis in roles of increasing accountability and with at
• Proven experience managing external partners and vendors

Preferred Qualifications

• Advanced degree in a quantitative or relevant field (e.g., Analytics, Statistics, Engineering, Economics, Data Science)
• At least 3 years of 'hands-on' experience in advanced data analysis and statistical modeling
• At least 2 years of experience in pharmaceutical/biotech industry, in support of Commercial/Marketing Analytics
• Experience in large, complex organizations with federated BU models
• Background in commercial, customer, or enterprise analytics environments
• Experience partnering closely with Technology and Data Governance functions
• Demonstrated ability to drive adoption and behavioral change at scale

#LI-GSK

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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