Senior Manager, Insights & Analytics
Listed on 2026-06-17
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IT/Tech
Data Science Manager, Business Systems/ Tech Analyst, Data Analyst, Data Scientist
Senior Manager, Insights & Analytics
Reports to: Senior Director, Insights & Analytics, Kerendia
Location: Whippany, NJ (Hybrid)
The Senior Manager, Insights & Analytics - Kerendia is an embedded analytics and market research partner within a high-performing, innovation-driven I&A team. This role is responsible for generating and activating insights across secondary data analytics and primary market research—delivering analyses that are clear, timely, and directly connected to Kerendia's Key Business Questions (KBQs). This is a role for someone who thrives on getting into the work: designing and executing analyses independently, synthesizing findings into compelling narratives, and partnering closely with brand stakeholders to turn insights into action.
You will be part of a team actively redefining what an AI‑enabled Insights & Analytics function looks like at scale — and your contributions will shape both the brand and the function.
- Build strong working relationships with brand leadership and cross‑functional partners, anticipating insights needs and delivering counsel that informs commercial decisions;
- Translate key business questions into clear analytical frameworks and actionable recommendations;
- Proactively surface opportunities and risks through data mining and market research, connecting findings to brand strategy;
- Challenge assumptions and ensure decisions are grounded in the best available evidence;
- Flex priorities fluidly as the business evolves, bringing urgency and intellectual curiosity to every engagement;
- Independently design and execute analyses across secondary data sources—including patient‑level claims, longitudinal data, and sales/demand data—to deliver a comprehensive view of brand and market performance;
- Conduct patient journey analyses including treatment patterns, adherence, persistence, and days on therapy;
- Support competitive landscape assessments, market sizing, opportunity analyses, situation analyses, and trend identification;
- Develop and maintain KPIs and performance metrics that track brand strategy, tactics, and market dynamics;
- Build and refine analytical workflows, leveraging AI and automation to improve efficiency, standardize reporting, and operationalize scalable outputs in partnership with the Data team;
- Design and manage primary market research studies—qualitative and quantitative—to address brand KBQs;
- Manage research vendors and agency partners, providing clear direction, maintaining quality standards, and ensuring deliverables are on time and on brief;
- Synthesize primary research findings with secondary data to generate integrated, multi‑source insights;
- Translate research outputs into clear, decision‑ready recommendations for brand and commercial leadership;
- Develop AI synthetic panels to extend and scale primary market research learning, generating faster directional reads and broader scenario testing while complementing traditional research approaches;
- Actively integrate AI tools and emerging analytical technologies into day‑to‑day workflows to generate insights faster and more efficiently;
- Contribute to the team's broader ambition to lead in building an AI‑enabled I&A function—experimenting, learning, and sharing what works;
- Bring a forward‑looking mindset to how AI can enhance the quality, speed, and scale of insights generation;
- Collaborate with the Data team on data acquisition priorities and stewardship practices;
- Own business rules for brand‑centric analyses, ensuring consistency and integrity across all deliverables;
- Provide business requirements and inputs to support the broader data strategy;
Required Qualifications
- Minimum of a Bachelor’s Degree;
- Significant and relevant experience in U.S. pharmaceutical or healthcare analytics;
- Hands‑on proficiency with pharma secondary data sources (e.g., IQVIA, Symphony, Optum) and pharmaceutical data types (patient‑level claims and longitudinal data, sales, demand, distribution);
- Exp…
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