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
- 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.
Benefits
- Good work-life balance opportunities
- Professional development and growth opportunities
- Equal opportunities for associates with disabilities
