Director of IT, Data, Analytics, Information Management, Automation & AI
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Engineer, Data Security, Data Science Manager
Director of IT, Data, Analytics, Information Management, Automation & AI
Job Category
:
Enterprise Data
Requisition Number
: DIREC
003805
Bedford, MA location with on-site requirement. The position is based in Massachusetts and requires a presence on-site two to three days per week. Applicants authorized to work for any employer within the United States are welcome to apply.
Lantheus (NASDAQ: LNTH) is a radiopharmaceutical-focused company delivering life-changing science to enable clinicians to Find, Fight and Follow disease to deliver better patient outcomes. Headquartered in Massachusetts with offices in New Jersey, Canada, Germany, Sweden, Switzerland and the United Kingdom, Lantheus has been providing radiopharmaceutical solutions for nearly 70 years. Today, we’re expanding our portfolio and pipeline across oncology, neurology and cardiology.
Through recent acquisitions, along with strategic partnerships across the life sciences ecosystem, we are accelerating our efforts to advance precision medicine and improve patient outcomes around the world.
At Lantheus we are purpose-driven, and every employee plays a vital role in our success. We’re dedicated to cultivating a high-growth, forward-thinking culture where innovation thrives and diverse perspectives drive meaningful progress. Join us and be part of a company where your contributions make a real impact, because we know someone’s health is in our hands.
Summary of role
We are seeking an exceptional, hands-on Director of IT, Data, Analytics, Information Management, Automation & AI to lead the transformation of our enterprise data and insights capabilities during a period of rapid growth and increasing digital maturity. This leader will own the strategy, architecture, delivery, operations, and cultural evolution of a team that is moving from tactical, request-driven reporting to a strategic, data-driven, AI-enabled enterprise.
The ideal candidate brings a rare combination of deep technical credibility, architectural leadership, transformational change management, and inspirational people leadership. This individual is passionate about building scalable data foundations, enabling self-service analytics, accelerating business productivity through automation, and delivering real-world data, analytics and AI/GenAI solutions that change how the organization operates.
This role will shape the enterprise’s journey across the full data and AI maturity spectrum—from fragmented data and application-centric reporting toward standardized master data entities, a governed data marketplace, reusable data products, natural-language insights, AI/Gen AI applications and cross-functional agentic AI orchestration.
This position is based in Massachusetts and requires a presence on-site (two/three) days per week, and open to applicants authorized to work for any employer within the United States.
Key Responsibilities / Essential Functions- Enterprise Data Strategy & Transformation
- Set and execute a multi-year enterprise data, analytics, information management, automation, and AI roadmap aligned with business priorities across all Lantheus functions including R&D, Commercial, Tech Ops, Quality, Medical, and G&A.
- Lead the shift from a fragmented, application-centric reporting ecosystem to an enterprise-standardized data foundation with governed, reusable data entities.
- Establish data integration, mastering, lineage, and governance frameworks that materially improve data quality, accessibility, and trust.
- Create a searchable enterprise data marketplace and a suite of data products enabling self-service analytics, natural-language data queries, and secure business-friendly discovery and reuse of data assets.
- Establish Analytics Platforms (BI Tools) Guidance across all functions
- Business Partnering and Stakeholder Management
- Acts as the face of Data from an IT perspective for the enterprise. Manages outcomes focused on business relationships and partnerships with customers, and is accountable for their perception of data, its ease of use and availability, and business value utilization in the enterprise.
- Ensures ideation, discovery, collection, management, implementation and reporting…
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