Associate Director , Data Stewardship

Reposted 2 Days Ago
Be an Early Applicant
Hitech City, Rangareddy, Telangana, IND
In-Office
Senior level
Artificial Intelligence • Pet • Software
The Role
Own the technical roadmap for Material Master data stewardship platforms, including Syniti DSP integrations with SAP ECC and SAP S/4HANA. Lead data governance, workflow redesign, automation, AI adoption, release management, GxP compliance, validation, audit traceability, and global stakeholder collaboration. Translate business requirements into technical specifications, prioritize backlogs, oversee UAT, and mentor teams in automation and digital practices.
Summary Generated by Built In

Job Description


R419321 Associate. Director , Data Stewardship


The Opportunity:


Join a global biopharma company with a 130-year legacy and mission to achieve new milestones in healthcare. Be part of technology driven, data-led organization supporting a diversified portfolio of medicines, vaccines and animal health products. Work alongside passionate teams that use data, analytics and insights to drive decisions, and tackle some of the world’s greatest health threats.  

 

Our Technology Centers are globally distributed hubs that enable our digital transformation and business outcomes across IT. They bring together diverse teams to collaborate, share best practices, and deliver solutions that save and improve lives.  

 

This role is based at our Hyderabad Tech Center and follows a hybrid working model (3 days per week in the office and 2 days remote). Candidates are expected to reside within a commuting distance of the Hyderabad office.The Associate Director, Technical Product Owner – Automation & Material Master Stewardship is a high-impact, hybrid leadership role. It requires a rare blend of deep Material Master Data domain expertise and advanced technical product management capabilities.

Operating at the intersection of supply chain operations, enterprise IT, and digital innovation, this individual will own the technical roadmap for our core data creation and maintenance platforms (specifically Syniti / DSP and its complex integrations into SAP ECC and SAP S/4HANA).

The role's mission is twofold:

  • Material Master Domain Leadership & Tool Ownership: Act as the technical and operational authority for the global Material Master data model in our stewardship tools. You will ensure these systems operate with high reliability, comply with rigid data standards, and evolve through structured releases to support complex supply chain and manufacturing activities.
  • Process Automation & Workflow Re-engineering: Partner with Global Data Steward Leads, Quality, and IT teams to systematically transition stewardship activities from manual, high-touch execution to intelligent, streamlined, and automated workflows.

As a senior technical leader within the Hyderabad Tech Center, you will leverage local technical talent while maintaining global alignment to drive operational excellence, GxP compliance, and modern automation practices (including generative AI and workflow orchestration).


What Will You Do in This Role
1. Material Master Data Domain Governance & Platform Ownership

Govern the Material Master Data Model: Serve as the technical custodian for the Material Master data structure within our stewardship tools, ensuring a deep understanding of master data dependencies, taxonomy, and downstream impacts on manufacturing and logistics.

Own the Tooling Ecosystem: Act as the Technical Product Owner for data creation, change management, and validation tooling (such as Syniti/DSP and associated middleware connecting into SAP ECC and SAP S/4HANA).

Align Business Logic with Tech: Translate complex Material Master requirements (e.g., global vs. local views, Plant/Storage Location parameters, Bill of Materials (BOM) configurations, and regulatory metadata) into precise technical specifications and tool rules.

Backlog & Release Management: Lead backlog grooming, sprint planning, feature prioritization, and release roadmaps in close coordination with IT delivery engineers, architecture teams, and global business stewards.


2. Process Re-Engineering, Simplification & Automation

End-to-End Material Workflow Optimization: Deep-dive into existing material stewardship processes (such as first-time material code creation, changes, and plant extensions) to eliminate manual bottlenecks, redundant pre-checks, and handoff delays.

Intelligent Automation Delivery: Design, evaluate, and implement automation solutions across the material lifecycle, utilizing business rule engines, automated validation scripts, API integrations, and low-code orchestration platforms.

AI & GenAI Integration: Spearhead the practical adoption of generative AI (e.g., Gemini) and machine learning capabilities to assist data stewards in automated data validation, material request interpretation, anomaly detection, and auto-generated documentation.

Industry Best Practices: Benchmark external master data management (MDM) and supply chain automation frameworks to keep our operating model forward-looking and scalable.


3. Quality, GxP Compliance & Data Integrity

Quality & Validation Partnership: Partner closely with Quality Assurance, Computer Systems Validation (CSV), and Regulatory teams to ensure all tooling enhancements, automation bots, and scripts meet strict GxP and audit standards.

Automated Data Quality & Controls: Build automated, GxP-compliant data governance pre-checks, validation rules, and mandatory approval workflows directly into the tooling UI to enforce data integrity at the moment of entry.

Audit Readiness & Traceability: Ensure full lifecycle traceability, change control documentation, and audit trail reliability for all automated and system-assisted data operations.


4. Global Partnership, Location Synergy & Team Upskilling

Bridge IT and Stewardship Operations: Serve as the primary technical liaison in Hyderabad, connecting local IT/software product development with global data stewardship leaders and supply chain operations.

Drive Change & Adoption: Partner with Global Data Leads and operational managers to design rollout plans, training materials, and change-management programs for new automated ways of working.

Technical Mentorship: Foster an automation-first culture across the Hyderabad stewardship hub, coaching team members on digital tools, prompt engineering, and automated testing practices.


What Should You Have
  • Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Supply Chain, Data Engineering, or a related discipline (or equivalent practical experience).

Experience:
  • 8+ years of progressive experience in Master Data Management (MDM), Technical Product Ownership, Business Systems Analysis, or Enterprise Data Solutions.
  • Strong functional background in SAP Material Master (MM) operations, with a clear understanding of supply chain, procurement, and manufacturing data flows.
  • Substantial experience operating in a regulated enterprise environment (pharmaceutical, life sciences, healthcare, or medical devices preferred).
  • Proven track record of owning enterprise tooling releases and delivering measurable automation or process simplification projects.

Primary Skills (Must-Have)
  • Deep Material Master Data Expertise: Comprehensive, practical knowledge of the SAP Material Master data structure, fields, views (Basic, Sales, Purchasing, MRP, Plant/Storage, Costing), and how data setups impact downstream physical supply chain execution.
  • Tool Ownership & MDM Platforms: Hands-on technical experience with master data creation and governance platforms, preferably Syniti (DSP) or comparable enterprise MDM/governance suites.
  • SAP Master Data Architecture: Solid technical and functional knowledge of SAP master data processes (SAP ECC and/or SAP S/4HANA), specifically Material Master and its integration with manufacturing, procurement, and supply chain modules.
  • Process Automation & Digitization: Demonstrated success identifying, designing, and rolling out workflow automation, rule engines, RPA, or automated data validation pipelines.
  • Modern AI & GenAI Fluency: Practical experience leveraging Generative AI (e.g., Gemini) and digital productivity tools to accelerate data operations, validation logic, and process documentation.
  • Agile Product Ownership: Expertise in Agile/Scrum delivery methodologies, writing technical user stories, managing sprint roadmaps, and running User Acceptance Testing (UAT).
  • GxP & Regulated Environment Compliance: Strong understanding of GxP standards, Computer Systems Validation (CSV), data integrity requirements, and regulated change control procedures.
  • Cross-Functional Collaboration & Communication: Exceptional stakeholder management skills, with the ability to bridge complex business requirements with technical IT engineering across global time zones.

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 intellectually curious, join us—and start making your impact today. 


Additional location(s) Compensation Information:

Required Skills:

Data Management, Data Modeling, Quality Management

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Secondary Language(s) Job Description:

#MSDHYDIT

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

10/20/2026

*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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Information Systems, Supply Chain, Data Engineering, or a related discipline, or equivalent practical experience
  • 8+ years of progressive experience in Master Data Management, Technical Product Ownership, Business Systems Analysis, or Enterprise Data Solutions
  • Strong functional experience with SAP Material Master operations and supply chain, procurement, and manufacturing data flows
  • Experience in a regulated enterprise environment, preferably pharmaceutical, life sciences, healthcare, or medical devices
  • Experience owning enterprise tooling releases and delivering automation or process simplification projects
  • Deep knowledge of SAP Material Master data structures, fields, views, and downstream supply chain impacts
  • Hands-on experience with master data creation and governance platforms, preferably Syniti DSP or comparable enterprise MDM suites
  • Technical and functional knowledge of SAP ECC and/or SAP S/4HANA Material Master integrations
  • Demonstrated experience designing and implementing workflow automation, rule engines, RPA, or automated data validation pipelines
  • Practical experience using Generative AI, such as Gemini, and digital productivity tools
  • Expertise in Agile/Scrum delivery, technical user stories, sprint roadmaps, and User Acceptance Testing
  • Strong understanding of GxP standards, Computer Systems Validation, data integrity, and regulated change control
  • Exceptional stakeholder management and cross-functional communication skills across global time zones
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Rahway, NJ
349 Employees
Year Founded: 1948

What We Do

MSD Animal Health Technology Labs specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us! Visit our website: https://www.msd-animal-health.com/animal-health-intelligence/technology-labs/

Similar Jobs

Optum Logo Optum

Software Engineering Lead - Springboot, Python, Kubernetes, Docker, Mongo DB

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Optum Logo Optum

Senior Software Engineering Lead

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Optum Logo Optum

Senior Devops Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Optum Logo Optum

Senior Software Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account