Specialist, Business Analyst – Content Studio
- Location
- IND - Telangana - Hyderabad (Hitec City Raidurg)
- Work mode
- On-site
- Employment type
- Full-time
About the job
Job Description
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, the Content Creation & Storage pillar of Digital Content & Customer Experience (DCCE) builds the platforms and capabilities that help Human Health create compliant, on-brand content faster. As part of the Content Accelerator, the pillar is moving content creation from manual production to AI-generated content that is built to brand and compliance standards from the start, combining agentic content creation platform (Content Studio), Adobe capabilities, and the design system. Role Purpose Own business analysis for Content Studio, AI-enabled content creation capability. Turn business needs into clear, build-ready, and traceable requirements, and work hands-on alongside engineering, UX, and implementation partners from discovery through release. The role is the Product Owner’s day-to-day partner. As the person grows, they will be expected to take on product ownership for defined Content Studio features or components, including backlog decisions, stakeholder alignment, and release outcomes. Scope of Ownership & Adjacent Responsibilities Accountable for (owns the deliverable and its quality):
- Content Studio requirements: functional specifications, user stories, and acceptance criteria for assigned features and components.
- Backlog readiness: stories meet the agreed Definition of Ready before sprint planning.
- The product source of truth (Confluence/JIRA): workflows, business rules, input/output requirements, integrations, known limitations, and the decision log.
- Requirements traceability from business need to story, test, and released functionality.
- UAT coordination with business users, including tracking feedback and gaps through to closure.
• The user feedback loop: capturing feedback from content creators, brand teams, and reviewers, and turning it into prioritized backlog items.
- The user feedback loop: capturing feedback from content creators, brand teams, and reviewers, and turning it into prioritized backlog items.
- Backlog prioritization and release scope, with the Product Owner.
- Solution design and technical approach, with engineering and implementation partners.
• Integration requirements with adjacent platforms (e.g., Adobe capabilities, design system, guardrails/rules engine, Veeva Vault PromoMats), with the respective product teams.
- Integration requirements with adjacent platforms (e.g., Adobe capabilities, design system, guardrails/rules engine, Veeva Vault PromoMats), with the respective product teams.
• Flex across other Content Creation & Storage workstreams (e.g., Adobe Brand Intelligence experiments, design system) as priorities shift. Key Responsibilities Requirements & Backlog Ownership
- Run discovery with business users to understand workflows, pain points, and desired outcomes before writing requirements.
- Write user stories with clear acceptance criteria, edge cases, and dependencies, and resolve open questions before development starts.
- Prepare refinement and sprint planning with the Product Owner. Bring a ready, sized backlog and a recommended priority order.
- Turn workflows into clear product behavior, including user flows, error handling, and human-in-the-loop review points.
• Manage requirement changes and log scope decisions so everyone knows what changed and why.
- Manage requirement changes and log scope decisions so everyone knows what changed and why.
- Work closely with engineering during sprints to clarify requirements and resolve open questions quickly.
- Get hands-on with Content Studio’s AI features (e.g., prompts, agent inputs/outputs, brand rules) to understand how they behave and confirm they meet requirements.
- Build a working understanding of the platform’s architecture, integrations, and APIs to have informed discussions with engineering and partners.
• Coordinate UAT with business users, capturing feedback, defects, and gaps and following them through to resolution.
- Coordinate UAT with business users, capturing feedback, defects, and gaps and following them through to resolution.
- Keep the Content Studio source of truth current and easy to understand for new team members, business users, engineers, and partners.
- Maintain the decision log, open questions, risks, and dependencies across internal and partner teams.
- Build compliance into requirements, including human-in-the-loop controls, AI labeling, auditability, and alignment with AI and content policies.
• Share concise updates on progress, decisions, risks, and releases with the Product Owner and stakeholders.
- Share concise updates on progress, decisions, risks, and releases with the Product Owner and stakeholders.
- Facilitate requirement workshops and working sessions that end in clear decisions and owners.
- Review vendor and partner solutions against documented requirements, and raise gaps early.
• Act as the bridge between business and technical teams so both share the same understanding of what is being built and why.
- Act as the bridge between business and technical teams so both share the same understanding of what is being built and why.
- Stories reach sprint planning ready to build, with little rework or mid-sprint clarification.
- Content Studio has one current, trusted source of truth that engineers, partners, and new joiners actually use.
- Every released feature can be traced back to a business need and an agreed acceptance test.
- Delivered features match what the business asked for, with gaps caught early through UAT.
- User feedback is turned into prioritized improvements quickly and visibly.
• Over time, the person independently owns defined features or components end to end, showing readiness for a Product Owner role. Qualifications & Experience Education Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field required; Master’s degree preferred. Experience
- 4–5+ years of experience as a Business Analyst, Product Analyst, or Product Owner/Manager in digital products or technology delivery.
- Hands-on experience with GenAI tools or solutions, e.g., building, configuring, or testing prompts, AI workflows, agents, or LLM-based applications, beyond awareness level.
- Understanding of agentic AI concepts (agents, orchestration, tool use, guardrails, human-in-the-loop) and practical experience in pilots, proofs of concept, or early rollouts.
- Strong requirements, user story, acceptance criteria, and process mapping skills; experience in Agile/Scrum teams using JIRA and Confluence.
- Working technical literacy: APIs, integrations, and data inputs/outputs, with the ability to engage credibly with engineers and vendors.
- Experience supporting UAT and validating solutions against requirements.
- Experience working directly with business users and turning feedback into rapid iterations.
• Excellent written and verbal communication; ability to work across a geographically distributed team (India, Europe, US).
- Excellent written and verbal communication; ability to work across a geographically distributed team (India, Europe, US).
- Experience with content management, marketing technology, Digital Asset Management, or content supply chain platforms.
- Familiarity with the Adobe content ecosystem (e.g., Firefly, AEM Assets, Workfront) or Veeva Vault PromoMats.
- Familiarity with design systems or Figma-based creative workflows.
- Basic scripting or query skills (e.g., Python, SQL) or experience with low-code/AI agent builders.
- Product Owner certification (e.g., CSPO, PSPO) or experience owning backlog decisions for a product or feature area.
• Experience in pharma or other regulated environments; awareness of MLR/content review and AI governance considerations.
- Experience in pharma or other regulated environments; awareness of MLR/content review and AI governance considerations.
- Ownership and accountability for deliverables
- Business-first, hands-on problem solving
- Attention to detail and strong analytical thinking
- Learning agility in a fast-evolving AI environment
- Clear, concise communication and documentation
- Strong cross-functional collaboration
Additional location(s) Compensation Information:
Required Skills: Analytical Thinking, Analytical Thinking, Atlassian JIRA, Backlog Prioritization, Business Intelligence (BI), Computer Science, Content Development, Content Management, Data Management, Data Modeling, Data Visualization, Digital Asset Management (DAM), Figma, Generative AI, IBM watsonx.governance, Information Technology (IT), Learning Agility, Measurement Analysis, Multidisciplinary Teamwork, Process Mapping, Product Ownership, Solutions Design, Sprint Planning, Stakeholder Relationship Management, User Acceptance Testing (UAT) {+ 2 more} Preferred Skills:
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Current Contingent Workers apply HERE
Secondary Language(s) Job Description:
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Employee Status: Regular Relocation: Domestic VISA Sponsorship: No Travel Requirements: 10% Flexible Work Arrangements: Hybrid Shift: 1st - Day Valid Driving License: Yes Hazardous Material(s): NA Job Posting End Date: 11/6/2026 *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.
From Merck's careers page (Workday), checked 30 Oct 2026.
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Posted 30 Oct 2026 · checked 30 Oct 2026 · Report this job
