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

🕒 Setembro 4

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $172.000 - $287.000 / ano

⏰ Tempo Integral

🔴 Especialista

📉 Analista de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 4%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Lantheus

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1956

💊 Farmacêutico

🏥 Saúde

🤖 Inteligência Artificial

Pharmaceuticals • Healthcare • Artificial Intelligence

Com mais de 65 anos de experiência em oferecer ciência transformadora, a Lantheus está comprometida em melhorar os resultados dos pacientes por meio de diagnósticos, radioterapêuticos e soluções de inteligência artificial que permitem aos clínicos Encontrar, Combater e Acompanhar doenças. A Lantheus está sediada em Massachusetts e possui escritórios no Canadá e na Suécia.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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