Director, Full Stack Software Engineering & AI
Core
Lead end-to-end data product, analytics, and AI transformation for Life Sciences & Healthcare portfolios, defining strategy and scaling customer-facing data products.
Role type
Director, Full Stack Software Engineering & AI
Builds
Enterprise-grade data products, analytics platforms, and AI-driven solutions for pharmaceutical companies.
Domain
Life Sciences & Healthcare / Data Engineering & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data product strategy, dimensional data architecture, engineering standards, platform design, AI roadmap, dimensional modeling, star/snowflake schema design, cloud-native development, Python, Java, SQL, microservices, AWS services, Docker, Kubernetes, CI/CD, modern data platforms, MLOps, LLMOps
Preferred skills
Generative AI, LLMs, RAG architectures, agentic systems, MCP, commercial data-as-a-product delivery, Life Sciences/Healthcare domain expertise
Technologies
AWS, Azure, GCP, Snowflake, Databricks, Spark, TensorFlow, PyTorch
Responsibilities
Lead and scale a global organization of 30+ engineers, define and drive the data product and AI roadmap, lead the design and delivery of software-engineered modular API-first data products, own enterprise analytical data models, own cloud data platform architecture, lead development of AI-powered data products, build and mentor a high-impact global team
Seniority
Director, global team leadership
