Data Architect

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.

We are seeking a Data Architect Director to support the Commercial Information Management organization. This individual will focus on the Operations side of Dev Ops and will co‑lead the design, development, operations, and governance of the enterprise data architecture and help define the enterprise data strategy. The role is responsible for enabling scalable data platforms, supporting advanced analytics and data visualization, and delivering reporting capabilities across commercial functions including Sales, Marketing, Market Access, Finance, and Tech Ops.

This position will partner closely with business stakeholders, IT, and internal analytics teams to operationalize the seamless flow of accurate and near real‑time data across the organization. The individual will also act as a delivery leader for internal stakeholders with a strong operational focus, working closely with IT to operationalize, manage, support, and govern enterprise data assets. The ideal candidate will bring industry experience within Life Sciences, Pharmaceuticals, or Commercial Operations environments.

This position is based in Massachusetts and requires a presence on‑site three days per week, and is open to applicants authorized to work for any employer within the United States.

Data Strategy and Architecture

• Design and maintain scalable data architectures including data models, data warehouses, and semantic layers supporting reporting and analytics across multiple product portfolios, distribution models, and field organizations.
• Establish standards and best practices for data integration, transformation, harmonization, and storage across enterprise platforms.
• Define data relationships, keys, and governance structures to enable integration across disparate enterprise systems.
• Ensure architecture supports scalability for new product launches and evolving distribution channels.

Commercial Data Management

• Support key commercial data domains including:
• Sales performance analytics
• Customer and master data management
• Contracting and pricing analytics
• CRM platforms (Veeva, Salesforce)
• Market access and HEOR data
• Financial and operational reporting
• Ensure alignment and consistency of commercial KPIs and reporting definitions.

Platform Ownership and Integration Leadership

• Lead integration of enterprise data across multiple platforms including:
• ERP systems (SAP, S/4
  
  HANA)
• CRM platforms (Veeva, Salesforce)
• Cloud data platforms and data lakes
• External data vendors
• APIs and third‑party data providers
• Define architecture standards for ETL/ELT pipelines and data orchestration.

Solution Delivery and Operational Excellence

• Collaborate with Data Architects, Program Managers, IT teams, and vendors to translate business requirements into scalable technical data solutions.
• Support planning, design, implementation, and operationalization of data platforms and reporting solutions.
• Drive operational excellence through sustainable and supportable data architecture design.
• Ensure solutions are production‑ready, governed, and aligned with enterprise standards.

Stakeholder Engagement and Leadership

• Partner with internal stakeholders and vendors to implement dashboards and data visualization solutions (Power BI, Tableau).
• Facilitate cross‑functional alignment and drive consensus on data and architecture decisions.
• Escalate key decisions and risks appropriately to leadership.
• Promote data governance, data quality, and data stewardship practices across the organization.

• 10+ years…