Head of Data & Analytics
Overview
We are seeking a Head of Data & Analytics to lead and scale our enterprise data platform, transforming complex, multi-domain data into insights that directly inform strategy, profitability, and future investment decisions. This role is both highly strategic and highly tactical—ideal for a data leader who can oversee platforms, guide teams and vendors, and clearly articulate how data can drive market differentiation, operational efficiency, and revenue growth. This leader will play a critical role within the Information Management & Analytics organization, owning the data platform vision while ensuring day-to-day reliability, governance, and performance. The role has broad latitude to innovate and shape where the data function heads over the next several years.
Data Platform & Operations
Oversee the enterprise data platform, ensuring systems are reliable, scalable, and operating effectively on a day-to-day basis
Own data products, standards, and operating models—defining how data is used, managed, and evolved across the organization
Ensure data alerts, monitoring, and operational issues are tracked, managed, and resolved
Oversee and optimize data feeds and processing pipelines, including ingestion, transformation, and consumption layers
Lead efforts to layer and modernize legacy data warehouses, integrating historical and current data sources into a cohesive platform
Strategy, Vision & Business Impact
Translate data into actionable insights that inform enterprise strategy, profitability, and growth decisions
Use data to identify trends, inefficiencies, and opportunities—clearly articulating what the company may be losing money on and where data can increase marketability
Partner with business leaders to forecast future impacts, support investment decisions, and guide long-term planning
Drive innovation in analytics, machine learning, and predictive modeling to support future-focused decision making
Analytics, Machine Learning & Insights
Oversee the development of algorithms and analytical models, including machine learning use cases for classification, prediction, and trend analysis
Ensure analytics solutions are aligned to business outcomes rather than purely technical outputs
Champion best practices for data governance, data quality, metadata management, and enterprise analytics standards
Leadership & Stakeholder Management
Lead and mentor 3–5 direct reports while also managing external vendors/partners
Serve as a clear, confident communicator who can translate complex technical concepts into business-friendly language
Collaborate closely with finance, operations, technology, and executive leadership (financial expertise supported by internal partners)
Pay
$150,000 (Additional bonuses and long-term monetary incentives)