Vice President, Data Engineering

The VP, Data Engineering is a senior executive role responsible for defining and executing enterprise-wide data and AI strategy, transforming data into a strategic asset, and unlocking new revenue streams through advanced analytics and data monetization.

Requirements

• Define and execute an enterprise-wide data, analytics, and AI strategy aligned to the organization's multi-business operating model
• Transform data into a strategic asset that drives decision-making, operational efficiency, and revenue growth
• Lead the design, implementation, and evolution of the enterprise data platform leveraging Microsoft Fabric
• Establish a governed self-service analytics environment
• Drive the transition from descriptive and diagnostic reporting to predictive and prescriptive analytics across all business functions
• Embed advanced analytics and AI capabilities into core operations
• Develop and implement data monetization strategies
• Partner with operational, client, and sales teams to integrate insights into client offerings
• Standardize enterprise KPIs and reporting frameworks
• Improve speed to insight by enabling real-time or near real-time reporting and automated decision-support tools
• Establish and enforce data governance, data quality, and master data management practices
• Lead and scale multidisciplinary teams across business intelligence, data engineering, and data science
• Collaborate with executive leadership to translate business strategy into data-driven initiatives and measurable outcomes
• Foster a data-driven culture by improving data literacy, adoption of analytics tools, and accountability for data-informed decision-making across the organization