Data Analytics Lead/Manager (Clinical)

Incyte Corporation; Chadds Ford Township (PA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Incyte Corporation in the United States seeks a Data Analytics Manager (Clinical) to own data product delivery for Clinical Development Operations and PMO. You will lead a mostly offshore team of 10-20 data engineers/analysts and work with MS Fabric + Power BI to build data pipelines, data lakehouses, and reporting.

The role requires hands-on analytics leadership, excellent communication, and experience steering complex projects across global teams in a fast-paced environment.

Qualifications

• Excellent communication and stakeholder management skills.
• Architect level experience for designing and governing enterprise-scale lakehouses.
• Experience managing complex projects with tight deadlines and budgets.
• Experience managing distributed global teams across time zones.
• Experience with CI/CD and code management in Azure DevOps / GitHub.
• 10+ years of relevant experience.

Responsibilities

• Own data product delivery in a GxP-regulated environment using Microsoft Fabric / Power BI.
• Engage stakeholders through requirements, delivery, and testing; manage scope, cost, timeline, changes.
• Design technical solutions aligned with IT standards and processes.
• Lead technical project delivery teams of data/BI engineers; assign work; track progress; ensure quality; support SLAs.
• Define data strategy with clinical stakeholders including architecture, governance, and KPIs.

Skills

Leadership

Stakeholder management

Power BI

Databricks

Microsoft Fabric

Lakehouse architecture

Data governance

CI/CD

Team leadership

Cross-functional collaboration

Education

Bachelor's degree in related field

Tools

Power BI

Databricks

Azure DevOps

GitHub

Microsoft Fabric

Job description

Overview

A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity

Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.

Data Analytics Manager (Clinical)

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 and leadership experience. 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, ensuring technical quality of work product, and meeting production support SLAs.
• 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.
• Architect level experience for designing, maintaining, and governing enterprise-scale lakehouse architectures (e.g., medallion pattern, dimensional modeling, RBAC, data lineage, performance optimization) in Microsoft Fabric, Databricks, 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 best practices for CI/CD and change management using git-based code management in Azure DevOps / GitHub.
• 10+ years of experience related to the above requirements in roles with increasing responsibility.

Preferred Experience

• Strong experience with architecting and maintaining solutions in Microsoft fabric using Lakehouses, DirectLake Semantic Models, Power BI reports, variable libraries, and Fabric Deployment Pipelines.
• Experience with AI-assisted code generation (e.g. Cursor, GitHub CoPilot, Claude Code, etc)
• Experience managing production code in a regulated environment such as SOX or GxP.
• 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.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.