- Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
- Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
- Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats.
Job Description
Data Governance Innovation Analyst
The Opportunity
- Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
- Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
- Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats.
Role Overview
- Design and implement Automation and Agentic AI systems to support data governance, enablement and stewardship activities. This individual will be responsible for designing the solution using approved architecture patterns, developing orchestration logic, tool use, and memory strategies. This will include developing last mile automation and AI capabilities to enable around data access management and automation
- Develop production‑quality code for basic automation, AI agents, services, and supporting infrastructure.
- Build agents capable of
- Executing multi‑step workflows
- Interacting with enterprise data, metadata, and knowledge systems
- Reasoning over policies, standards, and governance rules
- Escalating decisions or exceptions appropriately
- Integrate LLM‑based agents with existing data platforms, governance tools, catalogs, document repositories, and APIs.
- Apply modern software engineering best practices including modular design, version control, testing automation, observability, and CI/CD pipelines.
Deployment, Operations & Scaling
- Package and deploy AI solutions into development, test, and production environments.
- Monitor agent behavior, performance, and outputs to ensure reliability, traceability, and policy compliance.
- Diagnose and remediate failures, hallucinations, workflow breaks, or data quality dependencies.
- Refactor prototypes into scalable, maintainable production services.
- Support the expansion of successful agents from team‑level solutions to company‑wide platforms.
Data Governance & Responsible AI Engineering
- Engineer guardrails to enforce data governance, privacy, security, and Responsible AI principles.
- Implement logging, auditing, explainability, and versioning for AI agents and prompts.
- Ensure solutions comply with regulatory, security, and internal governance requirements.
- Collaborate with governance and legal partners to operationalize Responsible AI controls in code and architecture.
Enablement & Knowledge Management
- Develop agents that improve knowledge capture, classification, retrieval, and reuse.
- Produce technical documentation, architecture diagrams, and runbooks for AI solutions.
- Enable other teams to adopt, extend, or integrate AI agents through reusable patterns and components.
What Should You Have
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience.
- Strong hands‑on software engineering experience, with demonstrated delivery of production systems.
- Experience developing LLM‑powered or AI‑driven applications, including orchestration, prompt engineering, and tool integration.
- Proficiency in one or more modern programming languages (e.g., Python, TypeScript, Java).
- Experience working with APIs, microservices, and cloud‑based architectures.
- Familiarity with data management, metadata, data quality, governance, or knowledge systems.
- Ability to move from ambiguous problem statements to implemented, running systems.
Preferred Qualifications
- Direct experience building Agentic AI architectures using frameworks such as LangChain, Semantic Kernel, AutoGen, or similar.
- Experience with enterprise data catalogs, governance platforms, or knowledge management systems.
- Cloud deployment experience (e.g., Azure, AWS, or GCP), including security and identity integration.
- Experience operationalizing AI monitoring, cost control, reliability, and model lifecycle management.
- Background in Responsible AI, compliance engineering, or AI risk mitigation.
Primary Skills
- AI & Software Engineering Excellence
- Agentic Workflow & Systems Design
- Production‑Grade Development & Operations
- Data Governance & Policy‑Aware Engineering
- Iterative Delivery & Quick‑Win Execution
- Cross‑Functional Collaboration
#HYDIT2025
Required Skills
- Data Management
- Governance Management
- Privacy Compliance
- Quality Management
- Technical Advice
- Waterfall Model
Who We Are
We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
What we look for
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
Employee Status
Regular
Relocation
VISA Sponsorship
Travel Requirements
Flexible Work Arrangements
Hybrid
Shift
Valid Driving License
Hazardous Material(s)
Job Posting End Date
08/18/2026
- A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID R402090