We re seeking a Senior Manager of Engineering - Data Products to accelerate the AI transformation of Clarivate s Life Sciences Healthcare LSH product ecosystem With our platforms used by leading global pharma and biotech organizations this role offers a rare prospect to shape the next generation of AI-driven products that empower researchers scientists and healthcare professionals worldwide You will define strategy build high-performing teams and deliver the data foundations that infuse AI and advanced analytics across Clarivate s LSH ecosystem Leveraging your US Healthcare expertise and leadership in AI- and data-driven product engineering you will guide teams in building scalable data platforms delivering advanced analytics and enabling AI ML across the LSH portfolio You will lead cross-functional initiatives drive innovation and ensure robust engineering practices to support enterprise-grade AI adoption About You - Experience Skills and Accomplishments Minimum 10 years in data engineering analytics engineering or data-intensive software engineering with strong exposure to US Healthcare data payer provider ecosystems claims clinical RWE datasets 5 years building AI-enabled products with strengths in data pipelines data modeling analytics platforms or MLOps Proven experience as a Senior Product Engineering Manager or Senior Data Engineering Manager leading large data-focused teams and cross-functional programs Familiarity with cloud-native data architectures AWS Azure GCP distributed data processing and modern data pipelines Working knowledge of SQL Python ETL frameworks APIs orchestration tools and microservices nice to have Exposure to analytics ML ecosystems such as Snowflake Databricks Spark TensorFlow PyTorch MLflow Experience with GenAI LLMs vector databases and agentic AI is a strong plus Bachelor s or master s degree in Computer Science Data Science Engineering Analytics or related fields It would be great if you also had Experience with Life Sciences datasets regulatory models or healthcare analytics workflows is highly valued What will you be doing in this role Data Engineering Platform Leadership Lead teams building scalable secure and efficient data pipelines powering AI-driven applications across the LSH ecosystem Architect and evolve cloud-native data platforms to support analytics ML and real-time insight generation Ensure high-quality data ingestion transformation modeling and governance practices AI Analytics Enablement Translate business and scientific requirements into data engineering and analytics solutions that drive measurable impact Partner with data scientists and ML engineers to operationalize AI ML models within production pipelines Enable advanced analytics by delivering well-structured performant and compliant datasets Data Quality Compliance Security Embed healthcare-grade compliance governance and data security into engineering processes Ensure reliability observability and auditability across all data workflows Innovation Emerging Technologies Introduce modern data engineering and analytics technologies including GenAI automated ETL real-time streaming and emerging data tools Guide teams through experimentation rapid prototyping and adoption of innovative AI analytics capabilities Leadership Operational Excellence Manage mentor and grow data engineers analytics engineers and technical leads Drive operational excellence in sprint execution delivery management and cross-team coordination Lead hiring coaching and performance management to cultivate high-performing scalable teams Cross-Functional Collaboration Partner with product engineering data science architecture and business teams to align priorities with product goals Communicate progress insights risks and roadmap alignment to senior leadership Influence enterprise-wide strategies for data standards analytics platforms and AI readiness About the Team You will be part of the LSH Commercial Technology Product Engineering organization owning delivery across data- and AI-focused product features The team is globally distributed across India and the U S working collaboratively in a hybrid model Hours of Work Full-time 45 hours per week Hybrid working model At Clarivate we are committed to providing equal employment opportunities for all qualified persons with respect to hiring compensation promotion training and other terms conditions and privileges of employment We comply with applicable laws and regulations governing non-discrimination in all locations

📌 Senior Manager, Software Engineering- Data & Ai (Bengaluru)
🏢 Clarivate
📍 Bengaluru