Specialist, Business Analyst – Content Review Automation (AI-enabled MLR / Content Catalyst)

Job Description

Specialist, Business Analyst – Content Review Automation (AI-enabled MLR / Content Catalyst) 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, the Content & Promotional Lifecycle Automation portfolio supports compliant content review and lifecycle execution, partnering with product, engineering, and AI teams.

Role Purpose Enable AI-assisted MLR/content review capabilities by translating regulatory and business needs into high-quality product requirements, supporting backlog maturity, cross-team alignment with AI/data science and engineering, and validation-focused delivery.

Scope Of Ownership & Adjacent Responsibilities

• Partner with Product Owner/Manager to mature and prioritize backlog for AI-enabled review capabilities.
• Translate compliance and workflow needs into clear user stories with acceptance criteria, data requirements, and validation approaches.
• Collaborate with AI engineering/data science to align feasibility, constraints, training data needs, and validation expectations.
• Support UAT, traceability, and documentation suitable for audit/compliance needs.

Key Responsibilities Product & Backlog Management

• Partner with Product Owner/Product Manager to continually mature and prioritize the product backlog.
• Write high-quality user stories that clearly articulate business intent, regulatory context, and AI-enabled value (what/why).
• Partner with UI/UX to ensure Definition of Ready with clear acceptance criteria, data requirements, and validation approaches.
• Support sprint planning by ensuring stories are refined, estimated, and understood by the delivery team.

AI & Cross-Team Collaboration

• Work closely with AI engineering and data science teams to define requirements for AI use cases (e.g., logo checks).
• Align business expectations with feasibility, model constraints, training data needs, and validation approaches.
• Support iterative refinement of AI features based on testing outcomes, stakeholder feedback, and model performance.

Quality, Validation & Testing

• Facilitate User Acceptance Testing (UAT) with business and compliance stakeholders, especially for AI-driven review outputs.
• Validate that delivered solutions align with defined requirements, IT architecture standards, and governance policies.
• Ensure story-level testing and acceptance criteria address quality, compliance, and MLR risk considerations.

Documentation & Governance

• Document business processes, AI use cases, decision rules, and requirements to support SDLC and audit needs.
• Maintain clear and up-to-date documentation in tools such as JIRA and Confluence.
• Support traceability across requirements, stories, testing, and approvals.

Continuous Improvement & Innovation

• Stay informed on emerging AI technologies, regulatory expectations, and industry best practices related to content review/MLR.
• Proactively identify opportunities to improve efficiency, scalability, and user experience within MLR review solutions and processes.

What Success Looks Like

• High-quality stories and acceptance criteria that accelerate delivery without compromising compliance.
• Strong alignment across product, AI, and engineering on feasibility and validation expectations.
• UAT outcomes that build confidence in AI-assisted review outputs.
• Audit-ready documentation and traceability across requirements and testing.

Qualifications & Experience Education

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

Experience

• 4–5+ years of relevant experience as a Business Analyst, Product Analyst, or Systems Analyst in regulated or workflow-intensive domains.
• Experience working in Agile/Scrum environments with cross-functional teams.
• Strong analytical/problem-solving skills to break down complex regulatory and process requirements.
• Proven ability to translate stakeholder needs into clear functional requirements and user stories.
• Experience facilitating workshops and requirement discussions; experience supporting UAT and validating solutions against requirements.
• Excellent written and verbal communication in English; comfort working in geographically distributed teams.

Preferred / Nice To Have

• Experience with Pharma MLR processes or regulated content review workflows.
• Exposure to AI/ML-enabled products, automation, or data-driven capabilities.
• Hands-on experience with Veeva Vault (PromoMats), JIRA, Confluence, SharePoint.
• Understanding of UX concepts, usability testing, or Lean UX principles.

Key Competencies

• Structured requirements thinking and crisp writing
• Risk-aware mindset for compliance and quality
• Cross-team collaboration with AI/engineering
• Learning agility in evolving AI-enabled product environments.

#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 apply HERE 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 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 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.

Requisition ID R399123