Mgr, Forward Deployed Engineer, Data & Intelligence
Johnson & Johnson Innovative Medicine
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Job summary
Johnson & Johnson Hyderabad is seeking a highly experienced Manager, Data Engineering & AI Platforms to lead the development and modernization of enterprise Clinical Data and AI capabilities. You will guide data lakehouse implementations, ETL/ELT pipelines, AI productization, and governance across Clinical Development, Medical Affairs, Regulatory, and R&D.
The role combines people leadership with architecture oversight, delivering scalable cloud-native data platforms and AI solutions that
Qualifications
- 10+ years in Data Engineering, Data Platforms, Analytics or AI.
- 5+ years of people leadership experience managing global teams.
- Experience delivering enterprise cloud data platforms and analytics capabilities.
Responsibilities
- Lead Clinical Data Platform strategy and execution for multiple functions.
- Drive modernization of enterprise clinical data ecosystems using cloud-native architectures.
- Build reusable clinical data products and enforce data governance and interoperability.
- Lead AI initiatives including ML, Generative AI, and MLOps with governance.
Skills
Education
Job description
People Leader
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Technology Product & Platform Management
Technical Product Management
Hyderabad, Andhra Pradesh, India
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity.
Clinical Data Platforms, Data Engineering & Artificial Intelligence
Hyderabad, India (Hybrid)
Reports to : Director, ICC
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Science, Bioinformatics, or a related field.
- Master's Degree preferred.
- 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.
- Data Engineering
- Cloud Technologies
- Artificial Intelligence
- 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
- LLMsGenerative 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
- 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.
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.
Clinical Data Platforms / Clinical IT / ICC Hyderabad
Johnson & Johnson is an affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic.
- Analytical Reasoning
- Consulting
- Cost Management
- Developing Others
- Human-Computer Interaction (HCI)
- Inclusive Leadership
- Leadership
- People Performance Management
- Performance Measurement
- Product Development
- Product Strategies
- Project Management Methodology (PMM)
- Research and Development
- Resource Management
- Software Development Management
- Strategic Supply Chain Management
- Team Management
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