Acosta

Vice President, Data Engineering and Analytics

Acosta

full-time

Posted on:

Origin:  • 🇺🇸 United States • Florida

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Job Level

Lead

Tech Stack

AWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

  • Strategic executive leader responsible for shaping and executing the organization’s enterprise data vision.
  • Oversee the full data lifecycle—from acquisition and engineering to advanced analytics and AI-driven solutions.
  • Ensure data is a core enabler of business growth, innovation, and operational excellence.
  • Hybrid role based in office environment in Jacksonville, FL; Lewisville, TX; or Mississauga/Toronto, ON; expected to work up to 3 days per week onsite.
  • Define and lead enterprise data strategy and champion a data-driven culture.
  • Build, mentor, and scale high-performing teams across data engineering, analytics, and data science.
  • Oversee design and implementation of scalable, secure, modern data platforms and ensure performance, availability, and cost-efficiency.
  • Drive adoption of machine learning, generative AI, and predictive analytics; partner with business units on high-impact use cases.
  • Establish and enforce data governance, metadata management, and quality standards; ensure compliance with data privacy and regulatory requirements.
  • Collaborate with executive leadership and cross-functional teams to align data initiatives; translate complex insights into actionable business recommendations.
  • Manage relationships with external data service providers and vendors, ensuring SLA performance and cost-effectiveness.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Ten (10) or more years of progressive experience in data engineering, analytics, or related domains, including Five (5) or more years in executive leadership roles.
  • Proven success in leading enterprise data transformations and delivering measurable business outcomes.
  • Deep expertise in cloud platforms (AWS, Azure, GCP).
  • Deep expertise in data warehousing (e.g., Snowflake, BigQuery).
  • Deep expertise in ETL/ELT tools and orchestration frameworks.
  • Deep expertise in programming languages (Python, SQL, R).
  • Deep expertise in data visualization (e.g., Tableau, Power BI).
  • Strong understanding of data governance, security, and compliance frameworks.
  • Demonstrated ability to influence at all levels and communicate complex data concepts to non-technical stakeholders.
  • Experience managing budgets, vendor contracts, and cross-functional initiatives.