Lead the design, delivery, and operations of high-impact data and analytics solutions for an innovative healthcare client. You'll manage a team of data engineers, analysts, and scientists, driving innovation in data infrastructure, tools, and reporting. This role blends strategic vision with hands-on technical leadership, fostering collaboration, mentoring talent, and ensuring best-in-class data products that support healthcare business goals.
Key Responsibilities
* Partner with the Group Chief Data Officer to shape and execute the company's Data Strategy, aligning with business goals and driving data-informed decision-making
* Work cross-functionally to uncover business challenges and translate them into actionable insights through analytics
* Implement and uphold Data Ops best practices to ensure reliable, high-quality data availability
* Manage and document optimized data pipelines, reporting tables, storage solutions, and model deployments
* Manage and maintain data infrastructure including
Azure, dbt, Microsoft Fabric
, and related ETL/ELT, ML/AI, and storage tools
* Advance Data Science and ML/AI Ops capabilities, guiding use case development, model deployment, and pipeline optimization
* Maintain centralized documentation and code repositories for all data solutions
* Collaborate with product owners to prioritize sprint features and manage technical requirements
* Ensure ongoing compliance with data governance, security, and architectural standards
* Lead a high-performing team of data engineers, analysts, and scientists
* Provide mentorship, guidance, and feedback to foster a collaborative and growth-oriented culture
Skills, Knowledge and Expertise
* 5+ years' experience in senior data engineering or similar roles within fast-paced, data-driven environments
* Advanced degree (Master's/PhD) in Science, Engineering, Computer Science, or quantitative field
* Technical background with expertise in data engineering, machine learning, statistics, Data/ML Ops and analytics
* Proficient in SQL, Python, PySpark, and R
* Deep experience with modern data platforms including
Azure, Microsoft Fabric, Databricks, dbt, and Power BI
* Proven track record delivering solutions across cloud, on-prem, and distributed systems