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…