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Key skills for this role
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
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Lead and scale a global organization of 30+ engineers delivering large-scale, mission-critical 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 analytics-ready, customer-centric data products
Establish data product ownership, SLAs, quality KPIs, and lifecycle management
Ensure governance, privacy, and compliance are embedded by design
Lead the design and delivery of software‑engineered, modular, API-first data products
Own enterprise analytical data models, including dimensional models, star/snowflake schemas, conformed dimensions, and reusable metrics
Ensure data models support high‑performance analytics, BI, ML, and GenAI use cases
Champion engineering excellence: test automation, CI/CD, observability, data quality, performance optimization
Own cloud data platform architecture—lakehouse, streaming, and real-time analytics capabilities
Enable semantic modeling, analytics engineering, and self-service BI through trusted dimensional models
Define standards for data quality, lineage, metadata, discoverability, and metric consistency
Optimize models for scalability, cost efficiency, and performance
Lead development of AI-powered data products—predictive analytics, GenAI, and LLM-based experiences
Drive MLOps and LLMOps to operationalize AI at scale
Explore advanced capabilities such as metrics-aware LLMs, semantic search over dimensional models, and agentic analytics
Build, mentor, and grow a high-impact global team across data modeling, data engineering, ML engineering, and platform engineering
Foster a data-model-driven, product-centric, engineering-first culture
Lead hiring, talent development, and performance management
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
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 high-quality, AI-powered, well-modeled data products at scale.
Full-time
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.
Global provider of transformative intelligence and analytics services.
Visit company websiteJobs and hiring trendsFull-time
Senior · 15+ years experience
Hybrid
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