A DAY IN THE LIFE:

We are seeking a strategic and hands-on Vice President, Applied Data & Analytics to lead the design, development, and deployment of analytics and machine learning solutions that drive measurable business outcomes. This role focuses on the full analytics value chain—from data transformation (ELT) to the development of advanced algorithms and scalable insight delivery across the organization.
The ideal candidate brings a strong analytical mindset, deep experience in applied data science, and a proven ability to translate data into business value in complex operations. This role will partner closely with stakeholders across functions to operationalize insights and foster a data-informed culture.
The salary range for this position begins at $310,000.

Data Transformation & Enablement

• Lead enterprise ELT (Extract, Load, Transform) strategy to ensure clean, structured, and business-ready data for downstream analytics.
• Collaborate with Vice President, Data Architecture and Infrastructure to ensure high availability, quality, and relevance of data assets for consumption.
• Own semantic layer design and data product definition in support of enterprise-grade analytics, advanced modeling, and data democratization across the business.

Advanced Analytics & Machine Learning

• Oversee development and deployment of predictive and prescriptive models (e.g., forecasting, recommendation systems, customer segmentation, optimization).
• Identify and prioritize high-impact machine learning use cases in collaboration with functional leaders.
• Establish best practices for experimentation, model governance, MLOps, and continuous improvement.

Business Intelligence & Decision Support

• Lead the creation of dashboards, reports, and interactive tools that drive strategic and operational decisions.
• Promote consistent KPI definitions and storytelling across the enterprise.
• Build reusable analytics assets to enable scale, speed, and reliability in insights delivery.

Cross-Functional Collaboration & Consumption

• Partner with commercial, operational, and corporate teams to embed analytics into workflows and business decision-making.
• Champion self-service analytics tools and empower business teams with training, documentation, and support.
• Drive data literacy initiatives that increase adoption and understanding of insights.

Team Leadership & Strategy

• Build, lead, and mentor a high-performing team across data science, analytics, and BI functions.
• Develop and execute a strategic roadmap that aligns analytics investments with enterprise priorities.
• Promote a culture of experimentation, transparency, and continuous learning.