Head of Data, ML & Analytics

Village Farms International • Lake Mary, FL

20d • Onsite

About The Position

The Head of Data, ML & Analytics is a newly created executive role accountable for building and leading the enterprise data platform, analytics strategy, and applied machine learning and AI initiatives that accelerate sustainable growth, operational efficiency, and stakeholder value. This leader will establish modern data architecture, governance, and business intelligence capabilities (with deep familiarity in Microsoft Fabric or Azure Synapse and Power BI) to unlock high‑quality insights across farming operations, supply chain, finance, sales, and sustainability. The role partners closely with Technology, Finance, Operations, and Commercial leaders, and reports to the CITO.

Requirements

• 12+ years in data/analytics leadership with 5+ years building enterprise data platforms and BI at scale.
• Proven experience with Microsoft Fabric (or Azure Synapse) and Power BI; hands‑on familiarity with data lakehouse patterns, pipelines, and semantic modeling.
• Demonstrated success establishing enterprise data governance, stewardship, and quality frameworks aligned to business needs.
• Track record of delivering applied AI/ML solutions with clear business impact and strong model governance.
• Executive presence; ability to influence senior stakeholders and lead cross‑functional initiatives.

Nice To Haves

• Industry experience in agriculture, CPG, food systems, or sustainability‑centric businesses.
• Familiarity with Microsoft Power Platform (Power Automate/Apps) to extend analytics into workflow and decision support.
• Exposure to ESG reporting, sustainability analytics, and operational excellence in asset‑intensive environments.

Responsibilities

• Define and own the enterprise data strategy, reference architecture, and roadmap, aligning with the company’s technology strategy and sustainability goals.
• Stand up and evolve the enterprise data platform (Microsoft Fabric or Azure Synapse), integrating core systems and external data sources while enforcing scalable, secure patterns.
• Drive data modeling, master/metadata management, data quality, lineage, and observability across the data lifecycle.
• Institutionalize enterprise reporting and self‑service analytics; standardize executive and functional dashboards in Power BI as the enterprise reporting platform.
• Partner with business teams to translate questions into analytic products (KPIs, forecasts, optimization models) and deliver them reliably and repeatably.
• Build a pragmatic ML portfolio aligned with AI initiatives and focused on measurable outcomes (yield optimization, demand forecasting, inventory/supply planning, pricing, sustainability metrics).
• Establish model governance and MLOps practices; ensure responsible AI/ML aligned to regulatory, privacy, and cybersecurity standards.
• Chair/enable the enterprise data governance function (policies, standards, stewardship) to ensure integrity, security, and approved publication of reports/data assets across the organization, consistent with enterprise policy.
• Collaborate with Security, Audit, and Compliance to meet legal, ESG, and market disclosure obligations.
• Oversee data platform engineering, pipelines, and integrations; ensure performance, reliability, and cost efficiency across cloud resources.
• Set and enforce development standards, CI/CD, and test automation for data products.
• Recruit, develop, and retain a high‑performing team (data engineering, analytics, AI/ML, data governance).
• Create strong partnerships with Technology (including the CITO’s office), Operations, Finance, and Commercial leaders to prioritize investments and deliver outcomes.
• Lead change management and data literacy programs to scale adoption of analytics and AI.
• Own the data/analytics budget; optimize cloud and licensing costs (e.g., Microsoft Fabric/Power Platform, Power BI) and manage vendor relationships.

Benefits

• Competitive base salary, annual bonus, and long‑term incentives commensurate with executive responsibilities
• Comprehensive benefits
• Potential relocation assistance
• Company-paid comprehensive benefits
• Education assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees