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 worlds greatest health threats.

Our Technology Centres focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centres are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Center helps ensure we can manage and improve each location, from investing in the growth, success, and well-being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres.

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.
- Robust 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,

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Governance Innovation Analyst (Hyderabad)
🏢 Merck Sharp & Dohme (MSD)
📍 Hyderabad