Architect leading initiatives in data platform engineering at F5, solving challenges in unstructured data and enhancing governance frameworks.
About the role
- VP of Data Engineering and Analytics leading enterprise data strategy for Acosta Group. Responsible for data lifecycle management, analytics, and driving innovative data solutions.
Responsibilities
- Define and lead the enterprise data strategy aligned with business goals.
- Champion a data-driven culture across the organization.
- Build, mentor, and scale high-performing teams across data engineering, analytics, and data science.
- Foster a collaborative, innovative, and inclusive team environment.
- 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.
- 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.
- Establish and enforce enterprise-wide data governance frameworks, including data stewardship, 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 with strategic priorities.
- Translate complex data insights into clear, actionable business recommendations.
- Manage relationships with external data service providers, ensuring performance against SLAs 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.
- 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.
- Experience leading enterprise data architecture and analytics solutions in Palantir Foundry preferred, including scalable pipeline development and cross‑functional data integration.
- 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)
- Palantir Foundry
Benefits
- Professional development opportunities
- Paid time off
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