Job Description

Associate Director – Product Manager, Context Semantics Foundations

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 worlds 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 aData 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 todata 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 enablingagentic 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 onconsistent, governed, and interpretable data context, reducing risks associated with fragmentation, ambiguity, and lack of control.
Within this initiative, the Associate Director – Product Manager, Context Semantics Foundations will own theproduct definition, development, and evolution of core context and semantics capabilities. These capabilities form the backbone for how data is understood, connected, and consumed across multiple products and platforms, and will be central to enablinggoverned, scalable, and reusable intelligent systems.
The role operates at the intersection ofproduct, architecture, and enterprise platforms, working closely with Enterprise Architecture, platform teams, and product leadership to buildenterprise-grade context capabilities that support both traditional data products and emerging AI-driven use cases.

Key Responsibilities

Product Ownership – Context Semantics Foundations

- Own theend-to-end product strategy, roadmap, and lifecycle for Context Semantics capabilities within the Data Context Layer




- Define how context is modeled, represented, and consumed across products and platforms
- Ensure capabilities are designed asreusable building blocks supporting multiple downstream products and AI-driven workflows

Context Semantics Capability Development

- Define and evolve core capabilities related to:
- Context modeling and representation
- Semantic abstraction and standardization
- Relationships across data entities and domains
- Drive standardization in howdata meaning, relationships, and context are defined, governed, and reused
- Ensure consistency across products in how context is applied and interpreted

Agentic AI Enablement Governance

- Enable development ofagentic AI capabilities by providing:
- Structured and reusable context models
- Consistent semantic definitions across domains
- Ensure that agent-driven workflows operate ongoverned, high-quality, and interpretable data context
- Support definition of guardrails that:
- Reduce ambiguity in decision-making by AI agents
- Improve traceability and explainability of outcomes
- Partner with broader teams to align context capabilities withenterprise AI governance expectations

Alignment with Enterprise Architecture Platforms

- Work closely withEnterprise Architecture (EA) to:
- Define scalable and extensible context models
- Align semantics with enterprise data standards and reference architectures
- Partner with enterprise platform teams to ensure:
- Integration with underlying platforms
- Consistent implementation of context capabilities across systems

Cross-Product Enablement

- Ensure Context Semantics capabilities are:
- Designed forconsumption across multiple products and use cases
- Embedded into product development lifecycles
- Enable product teams to leverage context capabilities without duplicating logic
- Drive adoption of standardized semantics across the product ecosystem

Execution Delivery

- Driveend-to-end execution of Context Semantics capabilities
- Work closely with engineering teams to:
- Translate product requirements into scalable solutions
- Ensure quality, performance, and extensibility of implementation
- Establish execution discipline through:
- Clear roadmaps
- Milestone tracking
- Alignment with broader DCL delivery plans

Stakeholder Product Alignment

- Engage with product leaders to:
- Understand requirements related to data context and semantics
- Prioritize capabilities based on enterprise needs and use cases
- Act as theprimary owner for context-related product decisions, trade-offs, and prioritization

Expected Outcomes

- Establishment of a scalableContext Semantics Foundation within the Data Context Layer
- Consistent definition and reuse ofdata context and meaning across products and platforms
- Enablement ofgoverned, interpretable, and scalable agentic AI capabilities
- Reduced duplication in how context is modeled and implemented
- Improved interoperability and alignment across enterprise data products
- Strong adoption of context capabilities across multiple product lines and use cases

Experience Profile

Required Qualifications

- 8 years of experience inproduct management, data platforms, or related domains
- Solid understanding of:




- Data modeling and relationships
- Semantic concepts and abstraction layers
- Platform-based product development
- Experience working across:
- Product
- Engineering
- Architecture teams

Preferred Qualifications

- Experience withdata platforms, metadata systems, or semantic frameworks
- Exposure to enterprise data ecosystems and cross-domain data usage
- Experience inplatform or foundational capability development
- Experience supporting or working withAI/ML-driven systems and workflows
- Experience working inglobal delivery environments

Leadership Characteristics

- Strong product thinker with ability to translateabstract concepts into actionable capabilities
- Systems thinker who understands data as part of aconnected enterprise ecosystem
- Ability to balanceinnovation (AI/agentic capabilities) with governance and control
- Team-oriented leader who alignsproduct, architecture, engineering, and emerging AI initiatives
- Execution-focused with emphasis ondelivery, adoption, and enterprise scale

Who we areWe are known as Merck Co., Inc., Rahway, Current 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 worlds most challenging diseases. Today, our company continues to be at the forefront of research to deliver creative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
What we look forImagine 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, Management System Development, Product Management, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs

Preferred Skills:
Current Employees applyHERE

Current Contingent Workers applyHERE

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:
08/4/2026*A job posting is effective until 11:59:59PM on the dayBEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFORE the job posting end date.
Requisition ID: R399185

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