Provide technical and people leadership to design, build, and scale data and analytics solutions.
Own end-to-end delivery across multiple workstreams.
Establish repeatable engineering and governance standards.
Partner with Product, Engineering, Sales, and client stakeholders to grow and modernize analytics capabilities.
Lead, hire, coach, and retain a high-performing team; set goals, provide feedback, and drive career development.
Own the end-to-end lifecycle of data and analytics products—from discovery through build, release, adoption, and operations.
Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD, automated testing, documentation.
Deliver scalable pipelines, automations, and accelerators for compliance/regulatory reporting and operations using Python, SQL.

Bachelor’s degree in a relevant field or equivalent experience.
Proven people leadership and delivery ownership in a matrix environment.
Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or equivalent).
Strong stakeholder communication/presentation; calm, assertive, and diplomatic.
Business acumen: planning, prioritization, and financial awareness.
Experience leading data governance / metadata / lineage / stewardship operating models (preferred).
Healthcare/life sciences exposure where compliance/auditability are critical (preferred).
Experience delivering governed semantic models and self-service analytics (preferred).

Associate Director, Data Analytics

Key skills