Director of IT, Data, Analytics & AI Transformation

Lantheus; United States; On-site; USD 172,000 - 287,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Generous time off

Job summary

Lantheus seeks a seasoned Director, Head of IT – Data, Analytics, Information Management, Automation & AI, based in Bedford, MA, to drive a data-driven, AI-enabled operating model across the organization.

You will own strategy, architecture, delivery, governance, and cultural evolution for data foundations, analytics platforms, and automation, partnering with R&D, Commercial, TechOps, Quality, Medical, and G&A to scale packaged data products and self-service insights.

Qualifications

• 15+ years of progressive experience across enterprise data, analytics, integration, information management, automation, AI, and GenAI.
• Demonstrated hands-on and architectural depth across modern data, analytics, automation, and AI platforms.
• Proven success leading enterprise transformation toward standardized data, governed ecosystems, self-service analytics, automation, and AI-enabled solutions.

Responsibilities

• Define and execute a multi-year enterprise data, analytics, information management, automation, and AI roadmap.
• Lead the shift from fragmented reporting to an enterprise-standardized data foundation with governed, reusable data entities.
• Drive adoption of AI and GenAI solutions, including lifecycle management and delivery of high-impact use cases.
• Oversee dashboards, analytics solutions, integrations, data pipelines, and information management capabilities.

Skills

Enterprise data strategy

Leadership experience

Architectural depth

AI/GenAI experience

Business partnership

Education

Bachelor’s degree required, Master’s preferred

Tools

Databricks

Snowflake

Power BI

Microsoft Purview

Databricks Unity Catalog

Informatica MDM

Job description

Lantheus seeks a seasoned Director, Head of IT – Data, Analytics, Information Management, Automation & AI, based in Bedford, MA, to drive a data-driven, AI-enabled operating model across the organization.

You will own strategy, architecture, delivery, governance, and cultural evolution for data foundations, analytics platforms, and automation, partnering with R&D, Commercial, TechOps, Quality, Medical, and G&A to scale packaged data products and self-service insights.