Principal Data Architect

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting‑edge therapies, including antibody‑drug conjugate therapies. Our pipeline includes varegacestat, a late‑clinical stage GSI; IM‑1021, a clinical‑stage ROR1 ADC; and IM‑3050, a FAP‑targeted radiotherapy that recently received IND clearance.

We are also advancing a broad portfolio of early‑stage ADCs pursuing undisclosed solid tumor targets.

Immunome is seeking an experienced Principal Data Architect who will define the end‑to‑end architecture and deployment of the organization’s enterprise data warehouse and analytics platform. This role will be responsible for managing the technical scope, data strategy, data ingestion, delivery roadmap, and partnering with stakeholders on reporting and consumption needs. Phase one will focus on commercial readiness, enabling rapid integration and trusted reporting and operational analytics from key enterprise systems and external data sources.

This will be the foundation for a multi‑year expansion of enterprise analytics across additional functions.

The Principal Architect will initially be a sole contributor and will lead external consultants and implementation partners while partnering closely with the IT platform team, cybersecurity, technical and business analysts, business leadership, and executives. The role will report to the Senior Director, Business Systems.

• Define and maintain the enterprise data architecture roadmap aligned with business and technology strategy.
• Develop reference architectures, design patterns, and reusable components for data ingestion, transformation, modeling, and analytics.
• Define enterprise standards and governance.

• Lead the design and deployment of enterprise data warehouse and analytics solutions.
• Architect systems that support analytical, operational, and regulatory workloads using both batch and real‑time data patterns.
• Define and create semantic, logical, and physical data models to support scalable analytics and self‑service consumption.
• Define and implement production operating practices including monitoring, alerting, data observability, performance management, cost management, access controls, and service level expectations for data availability and quality.

• Define and support master and reference data strategies to ensure consistency of critical enterprise data.
• Embed data quality, metadata, and lineage considerations into all architectural designs.
• Partner with governance and stewardship functions to enforce data ownership, classification, and privacy controls.

• Architect data environments that are analytics‑ and AI‑ready, supporting feature engineering, reproducibility, and trustworthy downstream consumption.
• Partner with analytics and data science teams to ensure architectural alignment with advanced analytics use cases.
• Lead cross‑functional initiatives and working sessions to define priorities, clarify requirements, resolve tradeoffs, and drive timely decisions across stakeholders.
• Lead external consultants, system integrators, and vendors by defining scope, setting deliverables, reviewing work products, and ensuring solutions meet architectural standards and business outcomes.
• Prioritize and deliver foundational commercial readiness data capabilities, including reliable integration of key commercial and enterprise data sources and scalable metric definitions to support reporting and operational workflows.
• Define and evolve the data platform operating model, including support processes, documentation standards, and a scaling plan for additional capabilities, internal roles, and partner support as adoption grows.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field required; advanced degrees or relevant technical…