Enterprise Analytics & Data Strategy Director

United Site Services, Inc; Meridian (ID); On-site; USD 192,000 - 287,000; Full time

Benefits offered by this job

Medical/Pharmacy

Dental

Vision

401(k) with employer match

EAP

Employee Discounts

Job summary

United Site Services seeks an accomplished Sr. Director, Analytics & Data to build and lead a cross-functional analytics function spanning Supply Chain & Operations, Finance, and Marketing.

The role focuses on data strategy, governance, and a modern data platform, applying AI/ML to real-world logistics and business problems. Ideal candidates combine analytical rigor with the ability to influence senior stakeholders and drive enterprise-wide, data-driven decision-making and AI-enabled tools

Qualifications

• Minimum 4 Year / Bachelors Degree in a quantitative field (Business, Economics, Engineering, Statistics, Data Science)
• MBA or advanced degree a plus
• 10+ progressive analytics/data leadership experience
• 5+ years of managing teams
• Demonstrated experience spanning at least three domains: supply chain/operations, finance/FP&A, and marketing/commercial analytics.
• Hands-on experience deploying AI/ML models into production, and a strong point of view on applying generative AI to business operations.
• Proven ability to build analytics functions from the ground up and drive adoption with nontechnical executive stakeholders.
• Demonstrated experience owning enterprise data strategy and governance, including data quality, master data management, and cross-functional data standards.
• Strong SQL and experience with modern BI/analytics tools (e.g., Sigma, Power BI, Tableau, Looker) and data platforms (e.g., Snowflake, Databricks).

Responsibilities

• Own the enterprise analytics roadmap, aligning data and AI investments with USS's growth, margin, and customer experience priorities.
• Build, mentor, and scale a team of analysts, data scientists, and analytics engineers.
• Serve as a trusted advisor to the executive team, translating data into actionable strategic recommendations.
• Establish governance, data quality standards, and a consistent framework for KPIs across departments.
• Own enterprise data governance, including data quality, lineage, master/reference data management, and stewardship roles across Operations, Finance, and Marketing.
• Partner with IT/Engineering to define and maintain the enterprise data platform (warehouse/lakehouse), integration pipelines, and access controls.
• Establish and enforce data policies for privacy, security, retention, and regulatory compliance in partnership with Legal and IT.
• Define the single source of truth for core enterprise metrics and ensure consistent definitions and reporting standards company-wide.
• Act as the executive escalation point for enterprise data quality, access, and infrastructure issues impacting business operations.
• Lead analytics for fleet management, route optimization, service scheduling, inventory, and network/facility planning.
• Develop demand forecasting and capacity planning models to support seasonal and regional service variability.
• Partner with Operations leadership to identify efficiency opportunities in labor productivity, asset utilization, and last-mile logistics.
• Build predictive maintenance and asset-lifecycle models for the equipment fleet.
• Partner with FP&A on revenue analytics, margin analysis, pricing strategy, and cost-to-serve modeling.
• Support M&A integration analytics, including synergy tracking and post-acquisition performance measurement.
• Build dashboards and forecasting models that connect operational drivers to financial outcomes (EBITDA, unit economics, working capital).
• Provide analytical support for budgeting, long-range planning, and board-level reporting.
• Lead marketing mix, lead-generation, CAC, LTV, and retention analytics.
• Enable segmentation and targeting models to support commercial growth and cross-sell/up-sell strategies.
• Partner with Marketing and Sales to measure campaign ROI and optimize the customer funnel.
• Champion the adoption of AI/ML and generative AI across the organization - from operational forecasting and route optimization to customer service automation and internal productivity tools.
• Evaluate, pilot, and scale AI use cases with clear ROI, working closely with IT/Engineering on data infrastructure and MLOps.
• Stay ahead of emerging AI capabilities (LLMs, agentic workflows, predictive/prescriptive analytics) and translate them into practical business applications.
• Establish responsible-AI practices, including data privacy, model governance, and change management for AI adoption.

Skills

Leadership

Data strategy

Stakeholder management

SQL

AI/ML adoption

Analytics strategy

Education

Bachelor's degree in a quantitative field

MBA or advanced degree

Tools

Sigma

Power BI

Tableau

Looker

Snowflake

Databricks

Job description

United Site Services seeks an accomplished Sr. Director, Analytics & Data to build and lead a cross-functional analytics function spanning Supply Chain & Operations, Finance, and Marketing.

The role focuses on data strategy, governance, and a modern data platform, applying AI/ML to real-world logistics and business problems. Ideal candidates combine analytical rigor with the ability to influence senior stakeholders and drive enterprise-wide, data-driven decision-making and AI-enabled tools