VP, Data Strategy & Insight

Job Description

The Vice President (VP) of Data Strategy and Insights will serve as a leader in the Strategy and Insights offerings of Snow Companies. The VP, Data Strategy and Insights must be able to exercise independent judgment, process complicated situations quickly with discernment, prioritize and complete multiple tasks with deadlines that may overlap, and identify issues and implement solutions in a fast-paced environment.

The VP, Data Strategy and Insights must be up-to-date and comfortable with changes in pharmaceutical and FDA legal, regulatory and compliance landscape, data management and analytics platforms, program management tools, and social media management and production tools.

Snow

Data and Analytics

Data Strategy and Governance

The Vice President (VP) of Data Strategy and Insights will serve as a leader in the Strategy and Insights offerings of Snow Companies. The VP, Data Strategy and Insights must be able to exercise independent judgment, process complicated situations quickly with discernment, prioritize and complete multiple tasks with deadlines that may overlap, and identify issues and implement solutions in a fast-paced environment.

The VP, Data Strategy and Insights must be up-to-date and comfortable with changes in pharmaceutical and FDA legal, regulatory and compliance landscape, data management and analytics platforms, program management tools, and social media management and production tools.

The VP must be able to perform the following essential duties and functions:

• Lead the strategic evolution of Snow’s data engagement, analytics, measurement, and performance optimization offerings across pharmaceutical and biotech client accounts, ensuring insights, KPIs, reporting standards, dashboards, benchmarking, case studies, and measurement frameworks are integrated into direct-to-patient, multi- and omnichannel engagement programs from planning through optimization.
• Translate client objectives, patient journeys, and intended experience outcomes into strategic data engagement direction by developing KPIs, reporting approaches, dashboards, optimization recommendations, and measurement frameworks that demonstrate both patient value and business impact.
• Partner with Experience Design, Strategy, Creative, AI/Digital, Technology Solutions, Account, and Program teams to connect experience maps, service blueprints, user research, patient needs, and accessibility considerations to clear measurement plans, KPIs, and optimization opportunities.
• Connect patient journeys, experience maps, service blueprints, user research, and accessibility considerations to KPIs, measurement frameworks, dashboards, and optimization recommendations that demonstrate both patient experience value and client business impact.
• Provide senior oversight for data extraction, consolidation, analysis, visualization, dashboarding, and reporting across marketing, CRM, database, and engagement platforms, ensuring key metrics such as registration, attendance, qualitative evaluation findings, delivery, open rates, click rates, conversion, opt-outs, retention, engagement quality, and other KPIs are accurate, compliant, complete, and client-ready.
• Lead the development and communication of actionable insights and strategic recommendations based on program performance, audience behavior, engagement trends, research findings, qualitative and quantitative insights, and business objectives, translating complex findings into clear, client-ready narratives for direct and C-level clients.
• Independently prepare for, lead, and present client-facing work within the data, strategy, and insights discipline, including performance reporting, measurement plans, strategic recommendations, optimization roadmaps, and executive-level insights.
• Partner with Account, Strategy, Experience Design, Creative, AI/Digital, Technology Solutions, Database Management, Programs, Call Center, Project Management, analytics, and other internal teams to activate insights, identify opportunities for applied data science, and translate segmentation, predictive analytics, test design, personalization, and performance optimization into actionable engagement strategies and business recommendations.
• Support RFPs, proposals, SOW development, pricing, scoping, project plans, timelines, dependencies, and resourcing for analytics, reporting, dashboarding, research, measurement, and data strategy projects.
• Develop and maintain benchmark goals, measurement standards, performance norms, case studies, thought leadership, tools, dashboards, reporting approaches, and data engagement offerings that demonstrate impact, foster innovation, and support business development.
• Mentor, train, and provide technical and strategic guidance to analytics team members, engagement strategists, and cross-functional partners while establishing and improving standards for measurement planning,…