Director, Enterprise Data Strategy and AI

Recordati•Bridgewater, NJ

4d•Hybrid

About The Position

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. 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.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
10+ years of experience in IT, data, digital, database management, BI, preferably within the life sciences or pharmaceutical industry
Demonstrated ability to scale data platforms and analytics capabilities. Proven track record leading analytics environments to deliver secure, reliable, and scalable data solutions at enterprise scale.
Demonstrated leadership across data platforms, analytics ecosystems, and AI‑readiness initiatives, with deep expertise in cloud technologies, data architecture, modern BI/analytics tools, and applied AI/ML solutions.
Experience establishing or operating data governance frameworks, including data quality, stewardship, lineage, privacy, and compliance controls
Strong technical expertise with Microsoft data stack (Azure Data Factory, Synapse, Fabric, Power BI)
Hands‑on experience with Customer Relationship Management platforms, such as Veeva or similar life sciences CRMs.
Experience collaborating with enterprise architects, engineering, security, and infrastructure teams on complex, cross‑functional initiatives.
Solid understanding of BI user experience principles, dashboard design, and data storytelling to drive adoption and insight.
Familiarity with pharma / life sciences specific data, processes, and ecosystems
Experience with data governance tooling (e.g., Purview) and concepts (catalog/lineage/MDM).
Experience operating in a regulated environment (GxP where applicable; privacy rules like HIPAA where applicable)
Strategic Problem Solving: Strong critical thinker able to interpret data in context, navigate ambiguity, and drive clarity through analysis.
Project Leadership & Agility: Excellent planning and execution skills with the ability to manage multiple initiatives independently while adapting to changing business needs.
Collaboration & Influence: Proven ability to build relationships and influence across functions and levels. A confident self starter who thrives in both independent and team based environments and champions solutions that enable others’ success.

Responsibilities

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
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 stakeholder relationships and oversee key partners, vendors, and agencies to ensure performance, value realization, and compliance
Define and operationalize a “Data as a Product” model, establishing domain-aligned data products with clear ownership, SLAs, and lifecycle management across Commercial, Medical, and Enterprise domains.
Define and evolve the enterprise data and analytics operating model, including internal teams, partner engagement, and capability development to support scale and sustainability.
Design and deliver user‑centric business intelligence solutions that prioritize clarity, usability, and actionability for executive, analytical, and operational audiences.
Establish scalable mechanisms for structured insights capture and feedback loops from field teams (Sales, MSLs), ensuring integration into enterprise analytics and decision-making processes.
Partner with Global IT to develop and maintain core data governance documentation, and define clear ownership, stewardship, and decision rights across data domains, brands, and business units
Define and enforce governance requirements for vendor platforms, external data feeds, and analytics solutions. Data governance tooling (e.g. Purview)
Partner with IT and Legal to ensure data ownership, SLAs, and compliance requirements are enforced across all third-party platforms
Enable AI readiness by developing and sustaining high-quality, well-governed datasets and foundational data structures required for future AI and advanced analytics use cases
Support the development and deployment of initial AI/ML use cases across key business domains as data maturity evolves, including supply chain, forecasting, quality analytics, and commercial insights
Drive adoption of AI and analytics capabilities through change management, training, and user enablement strategies, ensuring measurable business utilization and value realization.