Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships)

MSD; Hyderabad; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

MSD in Hyderabad, India, seeks a Specialist in Capability Innovation & Prototype to drive GenAI-enabled content delivery and partnerships within Digital Human Health. You will prototype, document learnings, and collaborate with cross-functional teams to translate ideas into scalable, compliant solutions.

The role emphasizes structured analysis, strong documentation, and the ability to operate in ambiguity while partnering with vendors and internal groups.

Qualifications

• Bachelor’s degree required; Master’s degree preferred.
• 4–5+ years in digital products, innovation support, tech programs, or transformation.
• Exposure to early-stage discovery, experimentation, or prototyping.
• Foundational GenAI understanding with interest in applied AI.
• Strong analytical and documentation skills; capture learnings clearly.
• Comfort with ambiguity; collaborative across teams and partners.
• Familiarity with content/marketing platforms (DAM, CMS, workflows).
• Awareness of compliance, quality controls, and human oversight in regulated AI.

Responsibilities

• Capture requirements, assumptions, constraints for workflow future use cases.
• Explore GenAI and agentic capabilities across internal tools and partner ecosystem.
• Assist in executing prototype and pilot activities with prototype-to-scale view.
• Document scaling assumptions, risks, dependencies for tech, process, compliance.
• Conduct vendor/platform research and summarize findings for senior review.
• Prepare summaries of outcomes to inform senior decision-making.

Skills

GenAI concepts

Prototype / prototyping

Documentation

Requirements gathering

Stakeholder management

Product management

Collaboration

Education

Bachelor's degree

Master's degree preferred

Tools

DAM

CMS

Workflow tools

Job description

Job Description

Specialist, Capability Innovation & Prototype (AI Content Delivery & Partnerships)

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 organization 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.

About Digital Human Health (DHH):

Digital Human Health (DHH) connects technology, data, and people to enable and accelerate Human Health business across global markets. DHH supports commercial and medical teams by delivering customer-centric digital platforms, data capabilities, and technology-enabled operating models that enable flexible go-to-market approaches, actionable insights, and personalized customer experiences in a regulated environment.

Within DHH, AI Content Delivery & Partnerships modernizes the end-to-end content operating model in support of the Content Accelerator vision, shaping the ‘workflow of the future’ and piloting capabilities with a prototype-to-scale mindset, partnering with platform vendors and cross-functional teams.

Role Purpose:

Support early discovery and prototyping of GenAI-enabled and agentic content capabilities—helping explore, validate, and document prototypes with a prototype-to-scale mindset, in partnership with vendor ecosystem and execution teams.

Scope of Ownership & Adjacent Responsibilities

• Support discovery by capturing requirements, assumptions, constraints, and success criteria for workflow-of-the-future use cases.Execute prototype/pilot activities and document learnings, risks, dependencies, and scale considerations.
• Conduct structured vendor/platform research and summarize findings for senior review.
• Partner with Content Enablement & Execution to ground prototypes in execution realities and adoption considerations.

Key Responsibilities:

GenAI & Agentic Capability Prototyping (Supporting, Prototype-to-Scale)

• Capture requirements, assumptions, and constraints for workflow-of-the-future use cases.
• Explore and assess GenAI and agentic capabilities across internal tools and partner ecosystem that may enhance content lifecycle stages.
• Assist in executing prototype and pilot activities designed with prototype-to-scale perspective.
• Document scaling assumptions, constraints, risks, and dependencies related to technology, process, compliance, and partners.

Partner & Vendor Research

• Conduct structured vendor/platform research and compile comparative inputs that inform direction and feasibility.
• Support collaboration with external vendors and partners during demos, pilots, and proofs of concept.

Documentation & Communication

• Produce crisp artifacts (slides, notes, decision summaries) converting prototype results into reusable knowledge.
• Prepare clear summaries of outcomes, learnings, and observations to inform recommendations by senior team members.

What Success Looks Like

• High-quality discovery artifacts and prototype documentation enabling faster decisions.
• Well-structured vendor research that clarifies trade-offs and feasibility.
• Prototypes grounded in execution realities and compliance needs.
• Reusable learnings that accelerate future pilots and scale readiness.

Qualifications & Experience

Education

• Bachelor’s degree required; Master’s degree preferred.

Experience

• 4–5+ years of experience in digital products, innovation support, technology programs, or process transformation.
• Exposure to early-stage discovery, experimentation, or prototyping.
• Foundational understanding of GenAI concepts and interest in applied AI use cases.
• Strong analytical and documentation skills; ability to capture learnings clearly and accurately.Comfort working in structured ambiguity with guidance; collaborative mindset across teams and partners.

Preferred / Nice to Have

• Familiarity with content, marketing, or digital platforms (DAM, CMS, workflow tools, design systems).
• Awareness of compliance, quality controls, and human oversight when applying AI in regulated environments.

Key Competencies

• Structured analysis and crisp synthesis
• Curiosity and learning agility in emerging tech
• Collaboration across partners and execution teams
• Prototype-to-scale mindset and disciplined documentation

#HYDIT2025

Required Skills:

Asset Management, Benefits Management, Management System Development, Product Management, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs

Preferred Skills:

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

07/31/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.