Manager, Integrated Field Insights & Analytics

Role Summary

The Manager, Integrated Field Insights & Analytics (FIA) supports operational excellence, process engineering, and continuous improvement across Field Insights & Analytics within the IDS organization. The role contributes to efficiency and innovation across multiple therapeutic areas, focusing on enabling high-quality insights and streamlined operations rather than owning large-scale project delivery. This position is located at the East Hanover, NJ site and requires up to 10% travel (domestic and international).

Responsibilities

• Assist in the design and optimization of processes that enhance efficiency and scalability across Field Insights & Analytics squads and cross-functional teams.
• Assist in identifying process gaps and implementing improvements using Agile, Six Sigma, or similar methodologies.
• Maintain process documentation and best practices to ensure consistency and compliance.
• Support development and deployment of field analytics projects in collaboration with Insights & Decision Science Field Insights & Analytics pillars.
• Assist in portfolio GTM and field capability development initiatives.
• Help maintain data governance standards and ensure integrity across analytics platforms.
• Partner with leadership to identify opportunities for operational enhancements and innovation.
• Facilitate improvement workshops and contribute to root cause analyses.
• Promote knowledge sharing and adoption of continuous improvement practices within the team.
• Assist the Director, Field Insights & Analytics – X Portfolio and leadership team in aligning operational priorities with IDS objectives.
• Contribute to stakeholder communication plans and ensure clarity of roles and expectations.
• Provide analytical and operational support for Therapeutic Area-specific initiatives.
• Maintain documentation integrity across FIA repositories (SharePoint, Smart Sheets, JIRA).

Qualifications

• Required: Minimum 5+ years of experience in process engineering, operational excellence, analytics, or operations within pharma or healthcare; Experience in the pharmaceutical industry.
• Required: Experience in data science and AI agents.
• Required: Demonstrated expertise in continuous improvement methodologies (Lean, Six Sigma) and data analytics.
• Required: Strong communication and organizational skills; ability to work collaboratively in a support capacity.
• Required: Proficiency in process mapping and analytics tools.
• Preferred: Experience in field insights, analytics, or commercial operations.
• Preferred: Certifications in Lean, Six Sigma, or data science are a plus.

Education

• Bachelor’s degree in Business, Life Sciences, Data Analytics, Engineering or related field; Master’s preferred