Vice President, Data Engineering and Analytics

Acosta • Jacksonville, FL

2h • Hybrid

About The Position

The Vice President of Data Engineering and Analytics is a strategic executive leader responsible for shaping and executing the organization’s enterprise data vision. This role oversees the full data lifecycle—from acquisition and engineering to advanced analytics and AI-driven solutions—ensuring data is a core enabler of business growth, innovation, and operational excellence.

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.
• 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.
• Deep expertise in: Cloud platforms (AWS, Azure, GCP) Data warehousing (e.g., Snowflake, BigQuery) ETL/ELT tools and orchestration frameworks Programming languages (Python, SQL, R) Data visualization (e.g., Tableau, Power BI)

Nice To Haves

• Experience leading enterprise data architecture and analytics solutions in Palantir Foundry preferred , including scalable pipeline development and cross ‑ functional data integration.
• Palantir Foundry

Responsibilities

• Data Strategy & Vision Define and lead the enterprise data strategy aligned with business goals. Champion a data-driven culture across the organization.
• Team Leadership Build, mentor, and scale high-performing teams across data engineering, analytics, and data science. Foster a collaborative, innovative, and inclusive team environment.
• Data Architecture & Infrastructure Oversee the design and implementation of scalable, secure, and modern data platforms (e.g., data lakes, warehouses, pipelines). Ensure high availability, performance, and cost-efficiency of data systems.
• Advanced Analytics & AI Drive the adoption of machine learning, generative AI, and predictive analytics to deliver actionable insights and data products. Partner with business units to identify high-impact use cases.
• Data Governance & Quality Establish and enforce enterprise-wide data governance frameworks, including data stewardship, metadata management, and quality standards. Ensure compliance with data privacy and regulatory requirements.
• Stakeholder Engagement Collaborate with executive leadership and cross-functional teams to align data initiatives with strategic priorities. Translate complex data insights into clear, actionable business recommendations.
• Vendor & Partner Management Manage relationships with external data service providers, ensuring performance against SLAs and cost-effectiveness.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive