Data Analytics Manager (Clinical)

Planet Pharma; Chadds Ford Township (PA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Planet Pharma is seeking a Data Analytics Manager (Clinical) in Chadds Ford, PA with a hybrid work model requiring in-office presence 3 days per week. You will own the development and operation of data products for Clinical Development Operations and PMO, including data pipelines, data lakehouses, and reporting in Microsoft Fabric and Power BI.

The role leads an offshore team of 10-20 contract data engineers and analysts, balancing hands-on analytics with leadership, and requires experience in

Qualifications

• Experience designing and governing enterprise-scale lakehouse architectures (RBAC, data lineage, data governance).
• Proven ability to lead offshore/distributed teams across time zones.
• Experience with GxP data engineering & analytics context including computer system validation and 21 CFR Part 11.

Responsibilities

• Own data product delivery in a GxP-regulated environment using Microsoft Fabric and Power BI.
• Engage with business and IT stakeholders to gather requirements, define scope, and manage budgets and timelines.
• Lead technical delivery teams, assign work, track progress, and provide guidance.
• Define data strategy with clinical stakeholders including architecture, governance, and KPIs.

Skills

Stakeholder management

Leadership

Data product governance

Communication

GxP compliance

Cloud data platforms

Project delivery

Tools

Microsoft Fabric

Power BI

Databricks

PySpark

Azure DevOps

GitHub

Job description

Data Analytics Manager (Clinical)

Location: Chadds Ford, PA (Hybrid 3 days a week on site)

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 Incyte'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 3 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.

Required Skills & Experience

• 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 (e.g. Microsoft Fabric, Databricks, Snowflake, AWS, PySpark, and/or Power BI).
• 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.

Preferred Experience

• 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