Associate Director, Omnichannel Advanced Analytics

Omnichannel Analytics Strategy & Ownership

Own and evolve the omnichannel analytics roadmap for NPP, including measurement frameworks, KPI definitions, test-and-learn approaches, and standardized performance readouts aligned to brand and marketing decision cycles.

Establish clear success metrics and accountability for non-personal and digital engagement, ensuring consistency across brands, channels, and customer segments.

Serve as the subject-matter expert on omnichannel and NPP measurement, advising senior Commercial and Marketing leaders on performance interpretation and optimization opportunities.

Metric Quantification

Quantify the effectiveness and impact of NPP tactics, including but not limited to email, web journeys, paid media, webinars/virtual programs, rep-triggered digital, and other non-personal touchpoints.

Assess channel contribution and interaction effects across the customer journey, supporting smarter investment allocation and engagement sequencing.

Design and execute test-and-learn initiatives to evaluate new tactics, content strategies, and orchestration approaches.

Advanced Analytics & Insight Development

Develop and operationalize advanced analytic assets that enable smarter, more personalized engagement, including:

• Customer segmentation and audience prioritization models
• Response and propensity models (e.g., engagement likelihood, next-best-action, or next-step likelihood)
• Content and channel optimization models (what message works, where, and when)
• Journey analytics, including pathing analysis, drop-off identification, and sequencing optimization

Translate advanced analytics outputs into clear, actionable recommendations for non-technical stakeholders.

Cross-Functional Partnership (Commercial & IT) and Leadership

Partner closely with Commercial, Brand Marketing, Digital, Field Operations, and Market Research teams to align analytics priorities with business objectives and omnichannel strategy.

Collaborate with IT, Data Engineering, and platform teams to ensure scalable, compliant, and reliable data pipelines, analytic environments, and reporting solutions that support omnichannel use cases.

Contribute to the broader Insights & Analytics leadership team by shaping standards, best practices, and long-term capability building in advanced analytics and omnichannel measurement.

Decision Making

The Associate Director will work independently to make decisions related to technical direction, methodologies, approaches on how to address key business questions.

Strong collaboration with cross-functional teams and robust alignment with Manager will be needed in the identification of Key Business Questions and priorities.

Requirements

• Master’s degree (preferred) or bachelor’s degree in business, Analytics, Economics, Data Science, or related field; advanced degree preferred.
• 8–12+ years of experience in pharmaceutical or life sciences analytics, with strong focus on omnichannel, digital, and non-personal promotion (NPP) measurement.
• Demonstrated experience at the Associate Director or equivalent level, owning analytics products, dashboards, or performance frameworks used by senior leadership and commercial teams.
• Proven expertise in omnichannel and digital engagement analytics, including email, web, media, virtual programs, CRM-triggered digital, and cross-channel orchestration.
• Strong understanding of omnichannel measurement and optimization approaches, including segmentation, engagement and response modeling, journey analytics, and channel effectiveness assessment.
• Deep knowledge of commercial pharmaceutical data (sales, claims, CRM, engagement, media, market research) and KPI frameworks.
• Strong leadership and communication skills, with the ability to translate complex analyses into clear, decision-ready insights for executive audiences.
• Proven cross-functional collaborator with experience partnering closely with Commercial, Marketing, Digital, Sales Operations, IT, and Data Engineering.
• Experience enabling AI- and advanced-analytics outputs (e.g., segmentation, propensity scores, next-best-action) through reporting and insight tools, in partnership with Advanced Analytics teams.
• Demonstrated ability to automate reporting, scale self-service analytics, and improve speed-to-insight while maintaining data quality and governance.