Director, Enterprise Data Strategy and AI

With its beginnings in a family run pharmacy in Correggio, Italy in the 1920s, Recordati is now a global pharmaceutical company, listed on the Italian stock exchange, with over 4,500 employees and turnover of over Euro 2bn.

We are a group of like-minded, passionate individuals who go to extraordinary lengths for our patients, customers, partners, investors and the people across the globe who we serve. We develop and commercialise medicines to serve people living with common diseases, as well as those living with some of the rarest, in around 150 countries.

At Recordati, our mantra is simple. We've always believed that health, and the opportunity to live life to the fullest, is a right, not a privilege. Whether that is for common diseases or the rarest - we want to give people the opportunity to be the best version of themselves.

This drive will never stop. Together, we will always be reimagining tomorrow - with new ideas, new technologies and new innovations to fight diseases.

Recordati. Unlocking the full potential of life.

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…