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

• 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.

• 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.

• 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.

• 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.

• 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.

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 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

• Bachelor's degree in a…