Job Description

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

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 transparent 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Specialist, Business Analyst Content Review Automation (Hyderabad)
🏢 Merck Sharp & Dohme (MSD)
📍 Hyderabad