Head of Data, Technology & Platforms — US BBU

Head of Data, Technology & Platforms — US BBU

Introduction to role: Are you ready to turn data, AI and platforms into a competitive edge that accelerates our US business and expands patient access? This is a pivotal leadership role where you will define the vision and deliver the US roadmap that powers how we identify opportunity, make decisions, and engage customers across brands and functions.

Reporting to the VP, IBEX, you will lead a high-performing, business-oriented function that translates commercial priorities into integrated data, technology, analytics, AI, and Salesforce Customer Orchestration capabilities. You will bring the best of enterprise technology and AI into the US context, ensuring trusted foundations, scalable platforms, and product ways of working that drive measurable impact. How would you connect enterprise capabilities to what the US business needs to win at speed!

Accountabilities:

Strategic Leadership and Business Technology Vision: Set and lead the US strategy across data, technology, platforms, analytics, and AI, aligned to commercial priorities and long-term goals; act as a strategic partner to senior leaders and represent US priorities in enterprise forums to secure the capabilities, pace, and quality required.

Salesforce Customer Orchestration and Commercial Platforms: Own the US business roadmap for Salesforce Customer Orchestration and adjacent platforms; define how segmentation, targeting, Next Best Action, omnichannel engagement, field execution, and performance measurement come together; simplify and connect platforms across brands to avoid fragmentation; lead portfolio prioritization and investment trade-offs with a user experience attitude.

Data Foundations, Analytics and AI Leadership: Define and implement trusted data products, governance, and quality management that enable segmentation, Source of Business, resourcing, Next Best Action, customer orchestration, performance management, and measurement; partner with Enterprise AI to prioritize, test, and scale AI that changes customer engagement, decision making, and productivity; own enabling capabilities for scalable analytics and decision support while clarifying boundaries with analytical delivery teams.

Product-Oriented Delivery and Value Realization: Establish a product operating model from problem framing through scaled impact; hold product and capability leaders accountable for integrated roadmaps, adoption, and measurable value; co-create with users around real workflows and decision moments; implement mechanisms to test, learn, scale, and continuously improve as needs and technologies evolve.

Stakeholder Partnership and Enterprise Impact: Lead the business-facing US Data, Technology & Platforms function; connect US priorities with Enterprise AI, IT, global teams, and senior leaders; bring forward enterprise capabilities while calling for adaptation, acceleration, or new investment when needed; manage strategic vendor partnerships; create transparency on priorities, progress, adoption, value, and risks.

Risk, Compliance and Responsible Enablement: Partner with IT, cybersecurity, privacy, legal, and compliance to ensure capabilities are secure, compliant, reliable, and responsible by design; balance speed with discipline and regulatory expectations; champion responsible AI and data practices that earn trust from customers, employees, partners, and patients.

People Leadership: Define the operating model, leadership structure, and talent strategy; build a multidisciplinary team with strong commercial orientation and product approach; foster a culture of innovation, collaboration, accountability, continuous learning, and value realization; develop leadership depth and coach teams to simplify experiences and deliver outcomes.

Essential Skills/Experience:

• Bachelor's degree or equivalent experience in Business, Technology, Data, Analytics, Information Systems, Engineering, Computfield, or a related field.

• 8+ yrs experience in commercial transformation, business technology, data management, AI, CRM, customer orchestration, or platform-enabled business change.

• Demonstrated ability to translate commercial opportunities and business problems into technology, data, analytics, AI, and platform capabilities that create measurable value.

• Deep understanding of how data and analytics enable commercial decision making, including segmentation, Source of Business, resourcing, Next Best Action, customer engagement, performance management, and measurement.

• Strong technical and data credibility, including understanding of modern data platforms, data governance, platform architecture, analytics, AI-enabled capabilities, integration, security, and privacy considerations.

• Demonstrated experience shaping AI strategy and driving practical business adoption of AI capabilities across workflows, decision making, customer engagement, and productivity.

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