Director, Head of IT – Data, Analytics, Information Management, Automation, AI

🕒 September 4

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $172k - $287k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lantheus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1956

💊 Pharmaceuticals

🏥 Healthcare

🤖 Artificial Intelligence

Pharmaceuticals • Healthcare • Artificial Intelligence

Lantheus is a pharmaceutical manufacturing company with over 65 years of experience dedicated to enhancing patient outcomes through innovative solutions in diagnostics, radiotherapeutics, and artificial intelligence. With a focus on precision diagnostics and targeted therapeutics, Lantheus enables clinicians to effectively find, fight, and follow diseases. The company is headquartered in Massachusetts and has international offices in Canada and Sweden.

📋 Description

• Define and execute a multi-year enterprise roadmap across data foundations, analytics platforms, information management, automation, AI, and GenAI • Lead enterprise transformation from fragmented, request-driven, application-centric reporting to a governed, scalable, data-driven, AI-enabled operating model • Build governed data foundations, reusable data entities, data integration, mastering, lineage, quality, and stewardship practices • Establish guidance for analytics platforms and BI tools across all functions • Serve as the enterprise-facing IT leader for data and build trusted partnerships with business leaders • Manage demand and use-case intake, establish customer feedback loops, and ensure data capabilities deliver business value • Drive adoption of AI and GenAI solutions, including buy-versus-build assessments, lifecycle management, and high-impact use cases • Lead agentic AI orchestration and scale RPA, workflow automation, intelligent automation, test automation, chatbots, process mining, and optimization • Develop enterprise training strategies, role-based learning pathways, enablement programs, communication plans, and adoption support • Establish data governance, stewardship, data quality, access, privacy, security, and responsible AI practices • Partner with Legal, Compliance, Quality, and Security on GxP, SOX, GDPR, and data privacy standards • Create a searchable enterprise data marketplace and data products enabling self-service analytics and natural-language data queries • Oversee dashboards, analytics solutions, integrations, data pipelines, and information management capabilities • Mature the team into a strategic advisory organization and manage managers and senior technical leaders • Own budgets, vendor relationships, platform investments, contracts, chargeback models, and demand prioritization

🎯 Requirements

• 15+ years of progressive experience across enterprise data, analytics, integration, information management, automation, AI, and GenAI • 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 • 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 • Life sciences or pharmaceutical industry experience preferred • Master's degree preferred • Experience with platforms including Databricks, Snowflake, Informatica MDM, IDMC, CDMP, Power BI, Microsoft Purview, Databricks Unity Catalog, ThoughtSpot, Starburst, Copilot, and Copilot Studio • Experience with AWS SageMaker, Azure ML, Google Vertex AI, large language models, MLflow, and Kubeflow • Experience with Spark, Docker, Kubernetes, GitHub Copilot, AI-assisted content generation tools, and modern MLOps practices • Experience with UiPath, Blue Prism, Power Automate, Aisera, Celonis, Signavio, Tricentis Tosca, and ServiceNow • Knowledge of responsible AI, ethical AI, governance, security, privacy, and AI integration into business strategy and operating models • Ability to model Lantheus’ core values • Non-routine overnight travel may be required based on business need

🏖️ Benefits

• Discretionary performance-based cash incentive • Comprehensive health benefits package including medical, prescription drug, dental, and vision coverage • Life and disability benefits • Pre-tax accounts • 401(k) with company contribution • Paid vacation • Paid holidays • Sick days • Paid parental leave