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.

Note: This is a hybrid role based in our office environment in Mississauga/Toronto, ON. Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs. Will also consider candidates from Jacksonville, FL USA and Lewisville (Dallas), TX USA.

• 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.
• 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)
• Data warehousing (e.g., Snowflake, BigQuery)
• ETL/ELT tools and orchestration frameworks
• Programming languages (Python, SQL, R)
• 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.

#DISCOVERYOURPATH

Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies—Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing.
We recognize our associates are the foundation of our success. That’s why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions—whether you’re looking for part-time flexibility or full-time career advancement.
Ready for a career path that’s as unique as you? Discover your path at Acosta Group!
Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include “Applicant Accommodation” in the subject of your email to expedite the request.
Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.
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• 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.
• 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)
• Data warehousing (e.g., Snowflake, BigQuery)
• ETL/ELT tools and orchestration frameworks
• Programming languages (Python, SQL, R)
• 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