Director, Enterprise Data Strategy and AI

At Recordati, we are united by a clear purpose: unlocking the full potential of life. With a century of history behind us, we are building the next chapter of our journey, continuing to grow while keeping patients at the centre of all we do. What drives us is a shared belief that health, and the opportunity to live life to the full, should be within reach for everyone. This brings energy to our work, shaping how we support each other and show up every day. Our values – Better Together, Never Settle and Always Deliver – reflect this mindset, helping us to keep improving and make a meaningful difference. Above all, these values bring to life our promise to everyone at Recordati, you can unlock your full potential. We know that people thrive when they can be themselves, are trusted and supported, and are given the opportunity to grow and make a meaningful contribution. Are you ready to unlock your full potential? This position is with Recordati Rare Diseases, Inc. (RRD), North America, an affiliate of Recordati. Recordati Rare Diseases, Inc. (RRD) develops high-impact therapies for rare diseases, focusing on providing treatments to underserved communities in the U.S. Our mission is to mitigate the impact of rare diseases through increased awareness, better diagnoses, and improved treatment access in endocrinology, metabolic, hematology and oncology franchises. RRD is dedicated to fostering a dynamic work environment that promotes professional growth and a significant impact on patients’ lives.

Reporting Structure Reports To: Senior Director of Commercial Operations

Direct Reports: None

Areas Managed: Integrated, cross-functional insights focused upon Endocrinology, Hematology, Oncology and Metabolic teams and brands—bridging commercial, medical, and patient services and shared services domains.

Overview The Director of Data and AI Initiatives is responsible for building and scaling Recordati Rare Diseases North America’s enterprise data capabilities, establishing a trusted, scalable foundation for insight-driven decision-making and future AI innovation in alignment with Group Recordati strategy. In this role, the Director will lead the design and initial implementation of enterprise data platforms, governance frameworks, and business intelligence solutions, partnering closely with leaders across Medical, Commercial, Operations, and Finance. This position operates in a build phase environment and requires a balance of strategic leadership and hands-on execution to deliver user-centric, compliant, and high-impact data and analytics capabilities.

With a forward‑looking mandate, the Director will establish foundational data structures, semantic layers, and analytics products to support current business needs while enabling scalable advanced analytics and AI use cases over time.

Essential Duties And Responsibilities Data and AI Initiatives Strategy

• Lead the design and initial implementation of Recordati Rare Diseases North America’s data environment in close partnership with Global IT, ensuring alignment with enterprise architecture while addressing North America business needs using Microsoft technologies, unifying data across functions within a scalable, well‑governed platform. Enable / manage robust, real‑time data pipelines to support analytics and reporting
• Lead the definition and execution of multi year enterprise data, analytics, and AI roadmap aligned to business strategy and growth priorities
• Define and deliver a unified customer data strategy, enabling a 360-degree view across Commercial, Medical, and Patient Services to support prioritization, engagement, and insights generation
• Partner with Global IT and Group teams to align on enterprise standards, architecture, and data strategy, while representing North America business requirements

Data Platform & Engineering

• Oversee data and analytics infrastructure to ensure performance, reliability, security, and scalability. Ensure responsible and ethical use of data and AI, incorporating risk management, transparency, and governance considerations into all analytics and AI initiatives
• Provide hands-on technical leadership to design and establish the data environment during its early build phase, with accountability for transitioning to a scalable operating model over time
• Manage enterprise data onboarding and integration, including internal systems and external data sources.
• Own sta…