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Director, Data & Technology

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: Terrana Biosciences, Inc.
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, IT Project Manager
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

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.

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. 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 .

Functional

Scope:
  • Data Engineering–establishment and governanceofFAIRdata, resilient data systems, andcost-effective infrastructure
  • IT–management ofbusiness systems, access,cybersecurity,and vendors
  • Software and ML/AI Deployment–identification,prioritization and selection of highest impact tools,productionization, integration, support,and adoption
  • Targeted Software Development
    -of bespoke,internal tools;workflow automation and integrationsforhigh-value company requirements
KEY RESPONSIBILITIES

Develop and execute a company-wide data strategy and associated executionplanin support of Terrana'sstrategicpriorities

  • Lead, coach and manage a multidisciplinary team of 3-5 direct reports, with additional oversight of contractors, consultants and service providers. Establish clear roles, goals, development plans and performance expectations, and create a culture of ownership, collaboration, technical excellence and reliable delivery
  • Convert stakeholder needs into well-defined projects; ensuring work is delivered on time and to specification
  • Lead the evolution of Terrana's data architecture and engineering capabilities, including cloud data platforms, data models, pipelines,APIs and integrations across all systems. Ensure FAIR data
  • Establish and enforce appropriate data governance, security and lifecycle policies and practices
  • Partner with software engineers, ML/AI scientists, computational biologists and domain scientists to deploy software and models into dependable production workflows. Oversee integration, testing, validation, versioning, CI/CD or MLOps, observability and ongoing performance management
  • Oversee bespoke software development and workflow automation where required, following clear build/buy/partner evaluations
  • Provide reliable and secure IT services through internal resources and external providers, including identity and access, endpoints, business applications, service support, and cybersecurity
  • Serve as the primary senior-leadership interface for the Data function, engaging leadership on strategy, execution progress, decisions, tradeoffs, risks and resource needs, and establishment of steering and decision forums
  • Monitor, troubleshoot and optimize systems and services
PROFESSIONAL EXPERIENCE & QUALIFICATIONS
  • Bachelor's degree in computer science, data engineering, information systems,bioinformaticsor 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
  • Working knowledge of enterprise IT operations, cybersecurity, identity and access management,andSaaS administration
  • Experience supporting scientific, R&Dor other technically complex workflows
  • Consistent track recordof delivering high-quality outcomes…
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