About The Position

Lantheus is seeking a highly experienced, hands-on technology leader to serve as Director, Head of IT – Data, Analytics, Information Management, Automation & AI. This role will lead the enterprise transformation from fragmented, request-driven reporting toward a governed, scalable, data-driven, AI-enabled operating model. The position is based in Bedford, Massachusetts and supports a global life sciences organization with operations in the United States, Canada, and Sweden. The leader will own strategy, architecture, delivery, operations, governance, and cultural evolution across enterprise data, analytics, information management, automation, AI, and GenAI. Success requires strong technical credibility, architectural judgment, business partnership skills, transformation leadership, and the ability to inspire a team through a major maturity journey. The Director will define and execute a multi-year enterprise roadmap that advances Lantheus’ capabilities across data foundations, analytics platforms, information management, automation, and responsible AI. The role spans all major business functions, including R&D, Commercial, Technical Operations, Quality, Medical, G&A, and other enterprise functions. This role is expected to move the organization from application-centric reporting and tactical delivery toward standardized master data, reusable data products, a governed enterprise data marketplace, self-service analytics, natural-language insights, AI/GenAI applications, and cross-functional agentic AI orchestration.

Requirements

  • 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.
  • Leadership experience managing managers, architects, engineers, product owners, developers, and analysts.
  • Strong financial management experience, including portfolio budgets, vendor management, cost allocation, chargeback, consumption models, and platform investment decisions.
  • Bachelor’s degree required.

Nice To Haves

  • Life sciences or pharmaceutical industry experience is preferred.
  • Master’s degree preferred.
  • Blends the capabilities of architect, technologist, strategist, operator, and people-builder.
  • Is credible with both technical teams and executive stakeholders, able to operate from strategy through delivery and operations.
  • Has delivered transformational data, analytics, automation, AI, and GenAI journeys in complex global enterprises.
  • Has delivered enterprise level data marketplace solutions leveraging data products and brining together data suppliers and consumers under one umbrella.
  • Understands major life sciences functions such as R&D, Commercial, Product Development/Manufacturing, Technical Operations, Quality, Medical, and G&A.
  • Can uplift a tactical team into a high-performing strategic advisory organization while maintaining business continuity and employee engagement.

Responsibilities

  • Establish and execute the data, analytics, information management, automation, and AI roadmap.
  • Build governed data foundations, reusable data entities, data integration, mastering, lineage, quality, and stewardship practices.
  • Create a searchable enterprise data marketplace and establish guidance for analytics platforms and BI tools.
  • Build trusted partnerships with business leaders, manage demand and use-case intake, establish customer feedback loops, and ensure data capabilities are easy to find, use, trust, and translate into business value.
  • Drive adoption of AI and GenAI solutions, including buy-versus-build assessments, lifecycle management, and delivery of high-impact use cases.
  • Lead agentic AI orchestration initiatives and scale automation across RPA, workflow automation, intelligent automation, test automation, chatbots, process mining, and optimization.
  • Develop enterprise training strategies for data, analytics, automation, and AI.
  • Build role-based learning pathways, center-led enablement programs, communication plans, stakeholder alignment, and adoption support for new platforms, operating models, and ways of working.
  • Establish enterprise data governance, stewardship, data quality, access, privacy, security, and responsible AI practices.
  • Partner with Legal, Compliance, Quality, and Security to align with standards such as GxP, SOX, GDPR, and data privacy expectations.
  • 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, TechOps, 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.
  • Oversee dashboards, analytics solutions, integrations, data pipelines, and information management capabilities.
  • Mature the team from tactical order-taking to strategic advisory, manage managers and senior technical leaders, build a culture of engineering excellence and business empathy, and own budgets, vendor relationships, platform investments, contracts, chargeback models, and demand prioritization.

Benefits

  • Comprehensive health benefits package that includes medical, prescription drug, dental, and vision coverage.
  • Life and disability benefits.
  • Pre-tax accounts.
  • 401(k) with company contribution.
  • A variety of other benefits.
  • Generous time off package including paid vacation, holidays, sick days, and paid parental leave.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service