Sub Function

Clinical Data Platforms, Data Engineering & Artificial Intelligence

Reports to : Director, ICC

Position Overview

Johnson & Johnson is seeking a highly motivated Manager, Data Engineering & AI Platforms to lead the development and modernization of enterprise Clinical Data and AI capabilities supporting Clinical Development, Medical Affairs, Regulatory, and other R&D; functions.

The role will be responsible for delivering scalable cloud-native data platforms, clinical data products, AI/ML solutions, and Generative AI capabilities that accelerate scientific insights, improve operational efficiency, and enable data-driven decision-making across the pharmaceutical development lifecycle.

This position combines people leadership, product delivery, architecture oversight, and strategic technology management. The successful candidate will lead a team of engineers and collaborate with business stakeholders, clinical scientists, data management teams, biostatisticians, and digital product teams to transform fragmented clinical data into trusted, reusable, and AI-ready data assets.

Key Responsibilities

Clinical Data Platform Leadership

- Lead the engineering strategy and execution for Clinical Data Platforms supporting Clinical Operations, Data Management, Biostatistics, Medical Affairs, and Regulatory functions.
- Drive modernization of enterprise clinical data ecosystems using cloud-native architectures and Data Product principles.
- Establish reusable clinical data services, ingestion frameworks, and standardized data models.
- Partner with Clinical Development stakeholders to define technology roadmaps and prioritize platform investments.
- Ensure scalability, performance, data quality, security, and operational excellence of clinical data solutions.

Data Engineering & Data Products

- Lead the design and implementation of enterprise-scale Clinical Data Lakehouse solutions using Databricks and contemporary cloud technologies.
- Build and optimize ETL/ELT pipelines integrating diverse data sources including Clinical Trial Management Systems (CTMS), Electronic Data Capture (EDC), ePRO/eCOA platforms, Safety & Pharmacovigilance systems, Regulatory data sources, Real World Data (RWD), and Medical Affairs data platforms.
- Develop reusable clinical data products that enable analytics, reporting, AI, and self-service consumption.
- Drive best practices for data governance, metadata management, lineage, data quality, and interoperability.

Artificial Intelligence & Generative AI





- Lead implementation of AI-powered solutions that improve clinical trial efficiency, data review, patient insights, and operational decision-making.
- Develop and operationalize Machine Learning solutions, Predictive Analytics, Generative AI applications, Agentic AI platforms, Clinical Copilots, Intelligent Automation solutions, and Retrieval Augmented Generation (RAG) architectures.
- Establish AI governance frameworks aligned with Responsible AI principles and regulatory expectations.
- Partner with Data Scientists and Product Teams to operationalize AI solutions using MLOps best practices.
- Drive AI platform adoption across Clinical Development and R&D; functions.

Product Delivery & Stakeholder Engagement

- Lead Agile delivery teams utilizing Product Operating Model principles.
- Collaborate closely with Clinical Scientists, Data Managers, Biostatistics Teams, Medical Affairs, Regulatory Affairs, Product Managers, and Enterprise Architects.
- Translate complex business and scientific requirements into scalable technology solutions.
- Lead architecture reviews, technical design decisions, project execution, and risk mitigation activities.
- Communicate effectively with executive leadership and business stakeholders.

People Leadership

- Build, develop, and retain high-performing Data Engineering and AI teams.
- Establish engineering excellence practices, technical standards, and career development frameworks.
- Foster a culture of innovation, accountability, collaboration, and continuous improvement.
- Lead workforce planning, vendor management, hiring, and capability development activities.

Compliance, Security & Quality

- Ensure compliance with GxP, Computer System Validation (CSV), HIPAA, GDPR, J&J; Data Privacy Standards, and AI Governance requirements.
- Implement and maintain secure, compliant, and auditable platforms within regulated environments.
- Partner with Quality, Compliance, and Security teams to ensure inspection and audit readiness.

Required Qualifications

Education

- Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Science, Bioinformatics, or a related field.




- Master's Degree preferred.

Experience

- 10+ years of experience in Data Engineering, Data Platforms, Analytics, or Artificial Intelligence.
- 5+ years of people leadership experience managing global engineering teams.
- Experience delivering enterprise-scale cloud data platforms and modern analytics capabilities.
- Proven experience implementing AI/ML and Generative AI solutions in production environments.
- Experience working within Pharmaceutical, Biotechnology, Healthcare, or other regulated industries.
- Demonstrated success managing cross-functional stakeholders and global delivery teams.

Technical Skills - Data Engineering

- Cloud Technologies

- Artificial Intelligence

Clinical Domain Knowledge

- Databricks
- Apache Spark
- Delta Lake
- SQL
- Python
- Data Modeling
- ETL/ELT Frameworks
- Data Lakehouse Architecture
- Data Product Development
- Azure (Preferred)
- AWS
- Cloud-native Data & AI Services
- Infrastructure as Code (IaC)
- DevOps & CI/CD
- LLMs
- Generative AI
- Agentic AI
- RAG
- Vector Databases
- MLOps
- AI Governance
- Machine Learning Engineering
- Clinical Trial Data
- Clinical Data Management
- CDISC Standards (SDTM, ADaM)
- Regulatory Data
- Medical Affairs Data
- Safety & Pharmacovigilance
- RWD / RWE
- Clinical Analytics & Insights

Preferred Qualifications

- Experience supporting Clinical Development, Clinical Data Management, or Pharmaceutical R&D; organizations.
- Databricks, Azure, or AWS certifications.
- Experience building AI-enabled products and data platforms.
- Knowledge of Product Operating Model and Data Mesh principles.
- Experience leading digital transformation initiatives within healthcare or life sciences organizations.
- Engineering leader with expertise in Data Engineering, AI/ML and Generative AI.
- Strong experience with Databricks, Spark, Python, Azure/AWS and Lakehouse architectures.
- Experience building enterprise data platforms and AI-enabled solutions.
- Proven people leadership and stakeholder management experience.
- Healthcare, Life Sciences, Clinical Data or R&D; domain experience preferred.

What Impact Will You Have? As a Mgr, Forward Deployed Engineer, Data & Intelligence , you will play a critical role in advancing Johnson & Johnson's Clinical Data & AI strategy by delivering trusted, scalable, and AI-ready data platforms that accelerate insights, enhance clinical operations, and help bring life-changing therapies to patients faster.

📌 Manager, Forward Deployed Engineer, Data & Intelligence (Hyderabad)
🏢 Johnson u0026 Johnson
📍 Hyderabad