Director of Data Management & Analytics
Listed on 2026-11-04
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IT/Tech
Data Scientist, Data Engineering, Data Analyst, Data Science Manager
The Advanced Regenerative Manufacturing Institute (ARMl)
IBioFabUSA is a Member-based non-profit, member-driven, public-private partnership with a mission to advance the bioeconomy and transform the future of human health. ARMI provides technical and wrap-around commercialization services to companies seeking to advance technologies that will contribute to this impact.
The Advanced Regenerative Manufacturing Institute (ARMl)
IBioFabUSA is a Member-based non-profit, member-driven, public-private partnership with a mission to advance the bioeconomy and transform the future of human health. ARMI provides technical and wrap-around commercialization services to companies seeking to advance technologies that will contribute to this impact.
The Director will serve as a strategic and technical leader responsible for defining and executing the company's technical data strategy. The Director will bridge the gap between scientific research and scaled, automated manufacturing by overseeing the data infrastructure (ingestion, governance, architecture) and advanced analytical execution (predictive modeling, statistical analysis, and machine learning) needed to support scientific discovery, autologous/allogeneic cell therapy production, real-time chain-of-custody/chain-of-identity tracking, and regulatory submissions.
This role is uniquely critical in cell therapy, where success depends on integrating complex, high-dimensional data across R&D, preclinical development, manufacturing (CMC), supply chain/logistics, and commercial operations. The ideal candidate combines deep data strategy and technology leadership with an understanding of the unique data challenges associated with cell therapies, including integration of multi-omic and other characterization data, biomanufacturing data, product tracking, and has a working knowledge with stringent regulatory/compliance requirements (FDA, EMA, GMP, GCP, GxP).
Role Strategy & Leadership
- Define and drive the technical data strategy and roadmap, aligning data and analytics investments with R&D, manufacturing, and commercial priorities
- Advise the Executive Team on data-driven opportunities and risks
- Build, mentor, and lead a high-performing team of data engineers, data scientists, bioinformaticians, and data governance/quality specialists
- Establish the company's data culture, championing data literacy and evidence-based decision-making across all functions
- Oversee design and implementation of a unified data platform/data lake integrating data from R&D, preclinical development, manufacturing (MES, LIMS), supply chain (chain-of-identity/chain-of-custody systems), and commercial operations
- Partner with IT/Digital leadership on cloud infrastructure, data pipelines, interoperability standards (e.g., HL7 FHIR, CDISC), and system integrations (ERP, MES, LIMS, and as needed, QMS)
- Establish enterprise data governance policies, standards, and stewardship models to ensure data integrity, quality, security, and phase-appropriate regulatory compliance
- Lead data privacy and security initiatives in partnership with IT Security and Legal
- Champion the application of advanced analytics, machine learning, and AI to accelerate scientific discovery, optimize manufacturing yield/process parameters, and predict supply chain risk
- Enable predictive and prescriptive analytics for manufacturing process optimization and capacity planning
- Evaluate and implement emerging technologies (AI/ML platforms, digital twins, real-world data/evidence tools) to maintain competitive advantage
- Collaborate closely with R&D,…
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