Director, Commercial Data Innovation & Strategy

Description

The Director, Commercial Data Innovation & Strategy will lead the business strategy, governance, and adoption of data and AI-enabled capabilities that improve commercial performance, customer engagement, field effectiveness, and decision-making. This leader will serve as the Commercial Operations business owner for high-value data, CRM, Next Best Action, and AI initiatives, translating business priorities into practical capabilities in partnership with Commercial, Medical Affairs, Market Access, Patient Support, Analytics, IT, Compliance, and external partners.

• Lead the commercial data strategy and roadmap, ensuring priorities are aligned with growth objectives, launch readiness, customer engagement, and field execution.
• Translate Commercial, Medical Affairs, Market Access, and Patient Support priorities into clear data and decision-support needs.
• Create an integrated business view of customer, sales, payer, patient, claims, EMR, lab, specialty pharmacy, digital, and market data to support coordinated decision-making.
• Prioritize initiatives based on business value, customer impact, compliance, feasibility, and organizational readiness.
• Communicate the commercial data vision, priorities, dependencies, risks, and business outcomes to senior leaders and cross-functional stakeholders.
• Represent Commercial Operations and Data Strategy in governance forums, steering committees, and cross-functional working teams.

• Identify and prioritize high-value AI and automation opportunities across Sales, Medical Affairs, Market Access, Patient Support, and Commercial Analytics and Operations.
• Lead the business design and adoption of Next Best Action and recommendation capabilities that help teams determine the right customer, action, message, channel, and timing.
• Define business objectives, success measures, governance expectations, and adoption plans for AI-enabled capabilities in partnership with Analytics, IT, Compliance, and business stakeholders.
• Pilot responsible, compliant, and explainable use of AI while ensuring solutions address meaningful business needs.
• Monitor emerging practices in AI, customer engagement, and commercial excellence and assess their relevance to the organization.

• Lead commercial data governance and stewardship to improve the quality, consistency, usability, and reliability of data used by customer-facing teams and leadership.
• Establish business definitions, ownership, quality standards, hierarchies, and decision rights for customer, account, territory, product, payer, patient, sales, and other commercial data.
• Partner with business stakeholders and enabling functions to identify data issues, clarify business impact, and drive sustainable resolution and process improvement.
• Ensure governance supports accurate reporting, targeting, segmentation, field execution, customer engagement, and leadership decision-making.
• Maintain effective documentation, issue management, controls, and monitoring to support privacy, compliance, and audit readiness.

• Serve as the Commercial Operations business owner for CRM and related customer engagement capabilities, with accountability for business priorities, field usability, adoption, and value realization.
• Guide customer strategy and field processes including targeting, segmentation, affiliations, territory alignment, call planning, engagement tracking, and customer master data.
• Gather and prioritize business requirements, align stakeholders on trade-offs, and guide enhancement roadmaps in partnership with IT and external partners.
• Embed Next Best Action, Customer Insights, and AI-enabled recommendations into practical field and customer-facing workflows.
• Drive adoption through stakeholder engagement, communications, training, change leadership, and ongoing feedback.

• Manage strategic relationships with data, CRM, AI, and commercial operations partners, with clear accountability for business outcomes, service quality, deliverables, and issue resolution.
• Lead business cases, investment prioritization, budget planning, and roadmap decisions for commercial data and innovation initiatives.
• Establish measures for adoption, usability, service quality, operational effectiveness, customer impact, and value delivered.
• Balance competing priorities and focus…