Job Description
** 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. 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
This role is part of a broader enterprise initiative to establish a Data Context Layer (DCL) — a foundational capability designed to provide consistent, reusable, and scalable context across enterprise data products.
The DCL is intended to address challenges related to data fragmentation, lack of shared semantics, and inconsistent interpretation of data across systems and products. It establishes a unified layer for representing context, relationships, and meaning, enabling downstream products to operate with greater consistency, interoperability, and intelligence.
In addition, the DCL plays a critical role in enabling agentic AI capabilities across the enterprise by providing the structured context and semantic grounding required for intelligent agents to operate reliably. This includes ensuring that agent-driven workflows and decisions are based on consistent, governed, and interpretable data context, reducing risks associated with fragmentation, ambiguity, and lack of control.
Within this initiative, the Associate Director – Product Manager, Context Serving. will own the product definition, development, and evolution of core context serving capabilities. These capabilities form the backbone for how context is consumed across multiple products and platforms, and will be central to enabling governed, scalable, and reusable intelligent systems.
The role operates at the intersection of product, architecture, and enterprise platforms, working closely with Enterprise Architecture, platform teams, and product leadership to build enterprise-grade context capabilities that support both traditional data products and emerging AI-driven use cases.
Role Summary
We are seeking a Product Manager to own a single, high-impact capability within our enterprise data context platform: self-service serving of standardized data context. This role will focus on defining, building, and scaling one core capability that enables teams to publish, discover, and consume data context consistently across the enterprise.
The ideal candidate has strong product instincts, technical fluency in data/semantic systems, and experience partnering with engineering and architecture teams to deliver a platform capability from definition through production adoption. This role also requires working knowledge of agentic AI, prompt engineering, and context engineering concepts, particularly as they relate to delivering reliable, reusable context for AI-enabled applications.
Key Responsibilities
Own the product vision, requirements, and roadmap for the assigned capability within the context platform.
Define how the capability supports standardized, self-service serving of data context.
Partner with engineering, architecture, and governance teams to translate standards into implementable product requirements.
Ensure the capability is intuitive for users and scalable for enterprise adoption.
Define workflows for:
- publishing context
- discovering context
- consuming context through approved interfaces
- validating and maintaining context quality
Collaborate with adjacent platform teams to ensure the capability integrates cleanly with broader context, metadata, and governance services.
Work with stakeholders to prioritize features, resolve tradeoffs, and drive adoption.
Define success metrics such as usage, reuse, quality, and time-to-onboard.
Support the transition of the capability from development into production, including release readiness, documentation, and operational requirements.
Help shape how the capability supports agentic AI workflows, including reliable context delivery for prompts, tools, skills, and AI assistants.
Required Qualifications
- 10+ years of product management experience in technical products, data platforms, or enterprise software.
- Ability to work closely with engineering teams on platform or infrastructure capabilities.
- Familiarity with data context, metadata, ontology, or semantic concepts.
- Working knowledge of agentic AI, prompt engineering, and context engineering concepts.
- Strong communication and stakeholder management skills.
- Experience defining requirements for self-service or platform capabilities.
- Ability to balance user needs, technical constraints, and enterprise standards.
Preferred Qualifications
- Familiarity with ontologies, OWL, RDF, knowledge graphs, or semantic layers.
- Exposure to MCP, A2A, Timbr, or similar context-serving technologies.
- Experience with enterprise data governance, metadata management, or data catalogs.
- Background in AI, analytics, or application platforms that depend on trusted context.
- Familiarity with productionization concerns such as versioning, access control, observability, and lifecycle management.
- Experience supporting AI systems that rely on structured prompts, tool use, and context orchestration.
Leadership Characteristics
- Strong product thinker with ability to translate abstract concepts into actionable capabilities
- Systems thinker who understands data as part of a connected enterprise ecosystem
- Ability to balance innovation (AI/agentic capabilities) with governance and control
- Collaborative leader who aligns product, architecture, engineering, and emerging AI initiatives
- Execution-focused with emphasis on delivery, adoption, and enterprise scale
What Success Looks Like
Success in this role means:
- the capability is easy to use and clearly understood by target users
- teams can self-serve standardized context without heavy manual support
- the capability is reliable, governed, and production-ready
- adoption grows across teams and use cases
- the capability integrates smoothly into the broader platform strategy
- the platform enables higher-quality agentic AI experiences through better context delivery
**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.
#HYDIT2025
Required Skills:
Asset Management, Benefits Management, Context Mapping, Enterprise Architecture (EA), Enterprise Data, Enterprise Resource Planning (ERP) Systems, Enterprise Software Implementation, Management System Development, Metadata Management, Ontology, Product Lifecycle, Product Management, Product Management Leadership, Prompt Engineering, Requirements Management, SharePoint Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs
Preferred Skills:
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Current Contingent Workers apply HERE
**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:
No relocation
VISA Sponsorship:
No
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Not Applicable
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
07/3/2026
***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. **