Clarivate
Director, Full Stack Software Engineering & AI
- Compensation
- Not disclosed
- Location
- IND - Bangalore (DRG)
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 4+ years
- Category
- Fullstack
- Posted
Skills
Nice to have
- Experience delivering commercial data-as-a-product or analytics offerings
- Familiarity with Life Sciences/Healthcare domains (RWE, clinical, or commercial data models)
- Strong passion for customer outcomes, product thinking, and measurable business impact
Full description
We are seeking a Full Stack Software Engineering & AI to lead the end‑to‑end data product, analytics, and AI transformation of our Life Sciences & Healthcare portfolio. This is a unique opportunity to define and scale customer‑facing data products built on strong software engineering foundations, robust data modeling, and production‑grade AI—advancing drug discovery, real‑world evidence, patient journey modeling, and treatment effectiveness analytics.
You will own the data product strategy, dimensional data architecture, engineering standards, platform design and AI roadmap, ensuring our data products are trusted, performant, discoverable, and monetizable.
About You – Experience, Skills & Accomplishments
- Minimum 15+ years in data engineering, software engineering, analytics, or data product leadership, including 4+ years managing managers and global teams
- Proven success building and scaling enterprise-grade data products using software engineering and data modeling best practices
- Deep experience embedding AI, ML, and GenAI into data-centric and analytics-driven products
- Strong data modeling expertise:
- Dimensional modeling (facts & dimensions)
- Star and snowflake schema design
- Conformed dimensions and analytical data models
- Modeling for BI, analytics, and AI/ML workloads
- Experience creating domain-oriented data models, semantic layers, and metrics frameworks
- Hands-on or architectural experience with cloud-native development (AWS, Azure, or GCP) and data platform engineering
- Proficiency in Python, Java, SQL, microservices, and data-centric application development
- Good knowledge of AWS services (EC2, Lambda, S3, RDS), Docker, Kubernetes, and CI/CD for data/AI workloads
- Expertise with modern data platforms (Snowflake, Databricks, lakehouse architectures, Spark, and streaming frameworks )
- Background in AI/ML frameworks (TensorFlow, PyTorch), MLOps, feature stores, and model lifecycle management will be a plus
- Experience with Generative AI, LLMs, RAG architectures, agentic systems, and MCP (Model Context Protocol) a strong plus
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
Bonus Points
- Experience delivering commercial data-as-a-product or analytics offerings
- Familiarity with Life Sciences/Healthcare domains (RWE, clinical, or commercial data models)