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About the role
Terrana is seeking a Director, Data & Technology to develop and lead the company-wide capabilities that convert data, software, ML/ AI and IT into dependable scientific, operational and business outcomes. Reporting to the VP , Strategy and Operations, the Director will develop and execute an integrated strategy for Data Engineering, IT, software and ML/AI development and deployment.
What they're looking for
- Bachelor's degree in computer science, data engineering, information systems, bioinformatics or related discipline, an advanced degree or equivalent professional experience is preferred
- 10+ years of progressive experience across data engineering, software, digital platforms, ML/AI enablement or IT
- Demonstrated success developing and executing a technical strategy
- Proven ability to manage direct reports, as well as consultants and service providers
- Strong technical grounding in cloud-based data architecture and engineering, including data modeling, databases, ETL/ELT pipelines, APIs, integrations, accesscontrolsand observability, AWS experience is preferred
- Experience deploying and operating production software and ML/AI-enabled workflows
More about this role
Founded through Flagship Pioneering’s venture creation engine, Terrana Biosciences is a cutting-edge agricultural biotechnology company developing innovative RNA-based products to address global agricultural challenges. We are committed to advancing sustainable farming solutions through precision technologies that ensure environmental safety and regulatory compliance.
Terrana is seeking a Director, Data & Technology to develop and lead the company-wide capabilities that convert data, software, ML/ AI and IT into dependable scientific, operational and business outcomes. Reporting to the VP , Strategy and Operations, the Director will develop and execute an integrated strategy for Data Engineering, IT, software and ML/AI development and deployment. The position will lead 3-5 direct reports and coordinate external vendors , consultants and contractors, set clear priorities, and drive deliver y of high-quality outcomes .
- Data Engineering–establishment and governance of FAIR data, resilient data systems, and cost-effective infrastructure
- IT–management of business systems, access, cybersecurity, and vendors
- Software and ML/AI Deployment–identification, prioritization and selection...
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