IT Business Analyst for AI

Galderma is the emerging pure-play dermatology category leader, present in approximately 90 countries. They deliver an innovative, science-based portfolio of premium flagship brands and services spanning Injectable Aesthetics, Dermatological Skincare, and Therapeutic Dermatology. Founded in 1981, the company focuses on the human body's largest organ - the skin, partnering with healthcare professionals to meet individual consumer and patient needs with superior outcomes. The role is based in their new IT hub at Unity Tower in Krakow, Poland.

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

Demand Intake & Qualification:

• Own structured intake of AI ideas; clarify the 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/non-functional requirements (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.