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Director, Full Stack Software Engineering & AI

Clarivate -
Bengaluru Urban District, Karnataka

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Data modeling
Azure
Cloud architecture
Law
Computer Science
MCP
Kubernetes
Spark
Test automation
Java
Master's degree
Application development
SQL
AWS
Docker
Bachelor's degree
Cloud development
Continuous integration
APIs
S3
Data science
AI
RDS database
Python
Data Science
Analytics

Full 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 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)
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.

Apply Now

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