Data Analytics Manager
Role details
Job location
Tech stack
Job description
A Data Analytics Manager job in Wilmington, DE is available courtesy of Akkodis. 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. Relocation assistance is available, * 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
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.
- Need a strong Fabric/Azure/Synapse/Power BI engineer
- 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.