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Data Optimization Jobs in Orlando, FL (NOW HIRING)

Senior Marketing Data Analyst

Orlando, FL · On-site

$80K - $100K/yr

Analyze customer behavior and digital engagement at the individual level to identify optimization ... Provide data-driven insights and recommendations to improve conversion rates, retention, and ...

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$92K - $116K/hr

We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations. In this role, you ...

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$90K - $115K/yr

We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations. In this role, you ...

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

... optimization for business use cases • Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules • Collaborate ...

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

... design, optimization, and maintenance • AWS cloud services and migration familiarity • Business Intelligence reporting and dashboard development • Data analysis, validation, and quality ...

Proficient in data modeling, including building and optimizing semantic models, defining relationships, and writing DAX measures and / or calculated fields. * Experience with SQL, data warehouses ...

Data Analyst III

Orlando, FL · Remote

$120K - $140K/yr

... optimization, and maintenance · AWS cloud services and migration familiarity · Business Intelligence reporting and dashboard development · Data analysis, validation, and quality assurance WORK ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups * Experience building centralized data platforms or "data-as-a-service" offerings at scale ...

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups * Experience building centralized data platforms or "data-as-a-service" offerings at scale ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups * Experience building centralized data platforms or "data-as-a-service" offerings at scale ...

Showing results 21-40

Data Optimization information

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What are popular job titles related to Data Optimization jobs in Orlando, FL?

For Data Optimization jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Data Optimization jobs in Orlando, FL look for?

The top searched job categories for Data Optimization jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Data Optimization jobs?

Cities near Orlando, FL with the most Data Optimization job openings:

Infographic showing various Data Optimization job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Head of Data, ML & Analytics

Village Farms International

Lake Mary, FL • On-site

Full-time

Re-posted 27 days ago


Job description

Village Farms International (Nasdaq: VFF) is a vertically integrated global leader in cannabis and plant-based consumer packaged goods, and sustainable innovation. As one of North America’s longest-standing produce operators built on decades of expertise, we’re a company where growers, innovators, and creators come together to shape the future of high performing plant-based brands, globally.

Joining Village Farms means joining a global team built on purpose, integrity, and ambition. Here, we grow people, ideas and possibilities.


The Opportunity

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.


What You'll Do

Enterprise Data Strategy & Architecture

  • 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.

Analytics & Business Intelligence

  • 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.

Applied Machine Learning & Advanced Analytics

  • 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.

Data Governance, Risk & Compliance

  • 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.

Platform Engineering & Integration

  • 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.

Leadership, Partnership & Change Management

  • 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.

Financial & Vendor Management

  • Own the data/analytics budget; optimize cloud and licensing costs (e.g., Microsoft Fabric/Power Platform, Power BI) and manage vendor relationships.


What You Bring


Education:

  • 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.

Preferred

  • 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.

Success Metrics (12–18 Months)

  • Platform: Enterprise data platform (Fabric/Synapse) live with priority domains integrated; performance and cost KPIs met.
  • Governance: Data governance operating model, policies, and stewardship roles implemented; quality and approval workflows enforced per enterprise policy.
  • Insights: Executive and functional Power BI dashboards adopted company‑wide; measurable improvements in decision cycle times and forecast accuracy.
  • AI Impact: Portfolio of AI/ML use cases in production with quantified ROI (e.g., yield, waste reduction, inventory turns).
  • Engagement: Improved data literacy and self‑service adoption; positive feedback from business stakeholders.

Work Environment & Travel

  • Based in Orlando, FL with periodic travel to farm/greenhouse, distribution, and corporate locations as needed.
  • Work mode (on‑site/hybrid/remote) aligned to company policy and business requirements.

Compensation & Benefits

  • Competitive base salary, annual bonus, and long‑term incentives commensurate with executive responsibilities; comprehensive benefits; potential relocation assistance.

EEO Statement

We are an equal opportunity employer and value diversity. All employment decisions are based on merit, competence, and business need.


Life at Village Farms

We believe It Takes A Village ® and we mean it.

It shows up in how we support each other, how we innovate, and how we win as a team.

Our values guide every decision we make:

Versatility | Innovation | Leadership | Loyalty | Accountability | Grit | Entrepreneurship

What you do here matters - to our people, our products, and the customers we serve.

We’ve got you covered with company-paid comprehensive benefits and education assistance to support your growth.

Ready to Grow With Us?

If you want to be part of something that has real impact - we’d love to meet you.