Head of Data & Analytics

CRG

United States

On-site

USD 130,000 - 180,000

Full time

14 days+
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Job summary

CRG seeks a Head of Data & Analytics to lead and scale its enterprise data platform, transforming complex, multi-domain data into strategic insights that influence profitability and future investments.

The role blends strategic vision with hands-on execution, overseeing data platforms, governance, and performance while driving data-driven decision making across executive leadership and business units.

Responsibilities

  • 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
  • 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
  • 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
  • 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)

Job description

Base Salary: $150,000 (Additional bonuses and long-term monetary incentives)

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
  • 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
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