Director, Full Stack Software Engineering & AI

Clarivate; India; Hybrid; INR 2,500,000 - 3,500,000; Full time

Job summary

Clarivate is looking for a Full Stack Software Engineering & AI leader to oversee the data product and analytics for the Life Sciences & Healthcare portfolio. The role requires 15+ years in data engineering and product leadership, expertise in data modeling, and proficiency in AI/ML frameworks. You will manage a global team, shaping a strategy that enhances drug discovery and analytics. This full-time position follows a hybrid working model, allowing collaboration across teams in India and the U.S.

Qualifications

• 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.
• Strong data modeling expertise and hands-on or architectural experience with cloud-native development.

Responsibilities

• Lead and scale a global organization of 30+ engineers delivering large-scale data products.
• Define and drive the data product, analytics, and AI roadmap across the LSH portfolio.
• Lead the design and delivery of software-engineered, modular, API-first data products.

Skills

Data engineering

Software engineering

Analytics

AI/ML

Data modeling

Cloud-native development

Python

Java

SQL

Microservices

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

AWS

Docker

Kubernetes

Snowflake

Databricks

TensorFlow

PyTorch

Job 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’ll 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)
• 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 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

Software Engineering & Data Modeling

• 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

Data Platform & Analytics Engineering

• 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

AI, GenAI & Intelligent Data Products

• 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

Leadership & Team Development

• 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

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 high‑quality, AI‑powered, well‑modeled data products at scale.

Hours of work

• 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.