This job is with MSD, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Description

Specialist, Process Data Engineering

The Prospect

- 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. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.

Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centers 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 to ensure we can manage and improve each location, from investing in 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. And together,



we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

Role Overview

As a Process Data Engineer, you are the technical architect of our global Process Intelligence and AI initiatives. Your primary focus is constructing robust data pipelines that ingest transactional data from diverse enterprise systems (SAP, Veeva, Appian, ServiceNow) into an advanced, object-centric process data model. Operating within an Agile framework, you will manage the end-to-end Software Development Life Cycle (SDLC) of these models, leveraging them to build predictive machine learning models and deploy process-aware AI agents that enable autonomous execution management across the enterprise.

What will you do in this role

- Data Pipeline Engineering Architect and manage highly scalable ETL/ELT pipelines to extract raw event logs and transactional data from core organisation systems (SAP, Veeva Vault/CRM , Appian , Oracle).
- Process Data Architecture Design and implement Object-Centric Data Models. Define custom entity types and relationships rather than relying on flat, single-case event logs to build a dynamic Process Digital Twin.




- Agile Delivery & SDLC Operate within an Agile Scrum methodology. Translate business requirements into technical user stories, participate in sprint rituals, and manage strict SDLC code promotion (Dev, QA, Prod) for all data models and AI applications.
- AI & Agentic Orchestration Develop and deploy process-aware AI agents and automated action flows. Integrate Large Language Models (LLMs) to create "Process Copilots" that allow business users to query operational data using natural language.
- Predictive Process Monitoring Implement Machine Learning models (using Python/R) on top of the process data graph to predict process delays, compliance risks, and operational bottlenecks before they occur.
- IT Governance & AI Ethics Ensure all pipelines, AI integrations, and deployments strictly comply with our Information Technology policies, GxP standards, and corporate AI ethics guidelines using robust version control and CI/CD pipelines.

What should you have

- Bachelor's degree in information technology, Computer Science or quantitative field (Statistics, Econometrics, Computer Science, Mathematics, Engineering).
- 3 to 6 years of experience in Data Engineering.

Required Skills:

- Database & Cloud Engineering Expert-level SQL and data modeling. Deep understanding of relational databases, data warehousing, and handling multi-terabyte datasets.
- Process Platform Expertise Extensive hands-on experience with leading Enterprise Process Mining platforms, specifically dealing with multi-object graphing and execution management.
-

📌 Specialist, Process Data Engineering (Hyderabad)
🏢 Msd
📍 Hyderabad