Clinical Data Analytics Manager

Job Description Reporting to the IT Director of Data Products and Analytics, the Data Analytics Manager will own the development and operation of data products aligned to the organization's Clinical Development Operations and PMO functions. The data product portfolio consists of data pipelines, outbound integrations to external applications, data lakehouses, and reporting built in Microsoft Fabric + Power BI. The Data Analytics Manager will lead a primarily offshore (India & LATAM) technical team of 10-20 contract data engineers and data analysts. The ideal candidate has a blend of hands‑on data analytics technical expertise, leadership ability, and clinical development operations domain expertise. The ideal candidate is comfortable working in a dynamic fast‑paced environment and highly motivated to grow in responsibility. This position is hybrid with expectation to be in office 4 days per week in Chadds Ford PA and/or Wilmington, DE. Responsibilities Accountable for data product delivery in a GxP-regulated environment using Microsoft Fabric / Power BI for Clinical Development Operations and PMO functions. Engage and manage business and IT stakeholders throughout the requirements gathering, delivery, and testing process. Negotiate project scope, cost, timeline, and changes. Design technical solutions based on business requirements in alignment with IT architecture standards and processes. Lead technical project delivery teams consisting of data / BI engineers including assigning work, tracking progress, and providing technical guidance. Work with clinical stakeholders to define data strategy including overall architecture, data governance, and KPIs. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Excellent communication and stakeholder management skills. Must be able to effectively explain complex technical information to non-technical stakeholders. Demonstrated ability to design and govern enterprise-scale lakehouse architectures (e.g., medallion pattern, dimensional modeling, RBAC, data lineage, performance optimization) in Microsoft Fabric or comparable cloud platforms. Experience with managing complex projects with tight deadlines, budget constraints, and dependencies across multiple teams. Experience managing distributed global teams across time zones including vendor management, contract oversight, code review, capacity planning, and performance management. Experience with relevant life sciences clinical data systems / providers (CTMS, EDC, CROs) and analytics related to risk based quality management (RBQM), operational trial performance, study startup, and site performance monitoring. Experience with GxP in a data engineering & analytics context including computer system validation, data integrity, supporting audits, and 21 CFR Part 11. 10+ years of experience related to the above requirements in roles with increasing responsibility. Direct experience with Veeva Development Cloud (CTMS, CDB, eTMF, OpenData, etc), Planisware, CRO data (IQVIA, ICON, etc), and other Clinical Development related data systems/providers. Hands‑on technical expertise with the following data platform technologies: Microsoft Fabric, Databricks, PySpark, and/or Power BI. Hands‑on experience with the following developer tools / practices: Azure DevOps, GitHub, CI/CD, AI-assisted code generation (e.g. Cursor, GitHub CoPilot, Claude Code, etc). Prior people management experience. #J-18808-Ljbffr Insight Global