Vice President, Data Engineering and Analytics

7 days ago

Mississauga, Ontario, Canada Acosta Full time $120,000 - $250,000 per year
Description

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. 

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.
Qualifications
  • 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.

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