We are seeking a Full Stack Software Engineering AI to lead the endtoend data product analytics and AI transformation of our Life Sciences Healthcare portfolio This is a unique opportunity to define and scale customerfacing data products built on solid software engineering foundations robust data modeling and productiongrade AIadvancing drug discovery realworld 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 enterprisegrade data products using software engineering and data modeling best practices Deep experience embedding AI ML and GenAI into datacentric and analyticsdriven 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 domainoriented data models semantic layers and metrics frameworks Handson or architectural experience with cloudnative development AWS Azure or GCP and data platform engineering Proficiency in Python Java SQL microservices and datacentric 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 Bachelors or Masters degree in Computer Science Data Science Engineering or related field Bonus Points Experience delivering commercial dataasaproduct 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 What You Will Be Doing Data Product Analytics AI Strategy Lead and scale a global organization of 30 engineers delivering largescale missioncritical data products trusted by top 20 global pharmaceutical companies Define and drive the data product analytics and AI roadmap across the LSH portfolio Partner with product and business leaders to design analyticsready customercentric data products Establish data product ownership SLAs quality KPIs and lifecycle management Ensure governance privacy and compliance are embedded by design Software Engineering Data Modeling Lead the design and delivery of softwareengineered modular APIfirst data products Own enterprise analytical data models including dimensional models star snowflake schemas conformed dimensions and reusable metrics Ensure data models support highperformance analytics BI ML and GenAI use cases Champion engineering excellence test automation CI CD observability data quality performance optimization Data Platform Analytics Engineering Own cloud data platform architecturelakehouse streaming and realtime analytics capabilities Enable semantic modeling analytics engineering and selfservice BI through trusted dimensional models Define standards for data quality lineage metadata discoverability and metric consistency Optimize models for scalability cost efficiency and performance AI GenAI Intelligent Data Products Lead development of AIpowered data productspredictive analytics GenAI and LLMbased experiences Drive MLOps and LLMOps to operationalize AI at scale Explore advanced capabilities such as metricsaware LLMs semantic search over dimensional models and agentic analytics Leadership Team Development Build mentor and grow a highimpact global team across data modeling data engineering ML engineering and platform engineering Foster a datamodeldriven productcentric engineeringfirst culture Lead hiring talent development and performance management Collaboration Influence Partner with product data science BI and business leaders to align metrics dimensions and analytical logic Communicate data product strategy modeling decisions and AI outcomes to senior executives About the Team You will join the Life Sciences Healthcare Commercial Product Engineering organization leading a globally distributed team across India and the United States focused on delivering highquality AIpowered wellmodeled data products at scale Hours of work Fulltime

📌 Director Full Stack Software Engineering and AI (Bengaluru)
🏢 Clarivate
📍 Bengaluru