Digital & Analytics Capability Lead ( Sr. Director)

GSK•Durham, NC

About The Position

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 forecasting standards, 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 one‑off delivery

Requirements

Bachelor’s degree in a quantitative or relevant field (e.g., Analytics, Statistics, Engineering, Economics, Data Science); advanced degree preferred
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, cross‑BU 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

Nice To Haves

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

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, forecasting logic), 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, forecasting 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 forecasting, 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.
Cross‑Functional 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.