IT Business Analyst for AI

Galderma is a dermatology company present in approximately 90 countries, delivering a portfolio of premium brands and services in Injectable Aesthetics, Dermatological Skincare, and Therapeutic Dermatology. Founded in 1981, it focuses on skin health and partners with healthcare professionals to meet consumer and patient needs.

• 5+ years as a Business Analyst, Product Analyst, or Project Manager in digital or IT transformation programs.
• 2+ years exposure to AI, analytics, or automation initiatives including use case definition, data readiness, and model/product lifecycle.
• Experience coordinating governance reviews (security, legal, privacy, compliance) in regulated or global environments.
• Strong track record producing clear requirements such as user stories and acceptance criteria.
• Experience supporting UAT and release readiness.
• Comfortable working in a matrix with multiple stakeholders and vendors.
• Strong English speaking and writing skills.

Demand Intake & Qualification:

• Own structured intake of AI ideas; clarify problem statement, users, process context, and success metrics; identify duplicates and consolidate opportunities.

Use Case Definition & Value Framing:

• Translate business needs into AI use cases including Copilot/GenAI, automation, analytics.
• Define benefits hypotheses, KPI baselines, and value tracking approach.
• Support prioritization decisions with data and narratives.

Requirements & Solution Shaping:

• Elicit and document functional and non-functional requirements including privacy, security, performance, explainability.
• Create user stories, acceptance criteria, and process maps.
• Ensure alignment with Responsible AI policies.

Governance & Cross-Functional Coordination:

• Orchestrate reviews with Security, Legal, Privacy, Risk, Architecture, and Procurement.
• Prepare materials for governance forums.
• Track decisions, actions, and approvals end-to-end.

Delivery Enablement & Validation:

• Support AI Engineering with clarifications, test scenarios, UAT coordination, and release readiness.
• Verify solution meets business outcomes.
• Contribute to transition-to-operations and documentation.

Adoption & Benefits Realization:

• Partner with Adoption/Change leads to create enablement plans and measure realized value.
• Run feedback loops to improve future demand quality and solution performance.