Manager, Forward Deployed Engineer, Data & Intelligence

Johnson & Johnson; Hyderabad; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Johnson & Johnson seeks a Manager, Data Engineering & AI Platforms to lead the development of enterprise Clinical Data and AI capabilities across Clinical Development, Medical Affairs, Regulatory, and other R&D functions. The role focuses on scalable cloud-native data platforms, AI/ML solutions, and Generative AI capabilities to accelerate insights and improve decision-making.

The candidate will oversee a team of engineers, partner with stakeholders, and drive governance, security, and data

Qualifications

• Bachelor's degree in CS/Engineering/IT/Data Science or related field.
• Master's degree is preferred.
• 10+ years in Data Engineering/Data Platforms/AI.
• 5+ years leading global engineering teams.

Responsibilities

• Lead engineering strategy for Clinical Data Platforms
• Drive modernization using cloud-native architectures
• Develop reusable clinical data products and data governance practices
• Implement AI/ML and Generative AI solutions in prod environments
• Collaborate with scientists, data managers, and product teams
• Ensure compliance with GxP, CSV, HIPAA, GDPR, and privacy standards

Skills

Leadership

Stakeholder management

Agile delivery

Communication

Education

Bachelor's degree in CS/Engineering/IT/Data Science

Master's degree preferred

Tools

Databricks

Apache Spark

Delta Lake

SQL

Python

Azure

AWS

Data Lakehouse

MLOps

CI/CD

RAG

Vector Databases

Job description

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 modern 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.