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Acosta Group · 21 hours ago

Vice President, Data Engineering and Analytics

Lewisville, TX

Full-time

Hybrid

Director/Executive

$180K/yr - $220K/yr

10+ years exp

Acosta Group is a collective uniting trusted retail, marketing, and foodservice agencies. They are seeking a Vice President of Data Engineering and Analytics to shape and execute the organization’s enterprise data vision, overseeing the full data lifecycle and driving a data-driven culture across the organization.

ConsultingMarketingRetail

No H1B

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

Qualification

Cloud platformsData warehousingETL/ELT toolsData governanceProgramming languagesData visualizationStakeholder engagementVendor managementTeam leadership

Required

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)

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)