Sr. Director, Data Warehouse and AI

Job Description:

Location: Remote

Company Overview

Performing over 80 million locates annually, USIC is the most trusted name in underground utility damage prevention.

USIC also provides a full suite of utility services throughout North America.

Our Mission: to deliver quality, efficient, safe, and innovative solutions to protect our partners’ infrastructure and critical assets.

Our Culture is known as Living the SAFE-LIFE: Protecting Infrastructure, Protecting Our Communities, Protecting Ourselves.

Summary

The Sr.

Director, Data Warehouse & AI is responsible for defining and leading the strategy, architecture, and execution of enterprise data warehouse, analytics, and AI-enabled capabilities.

This role owns the design, delivery, and operational maturity of scalable data platforms that support mission-critical decision making across field operations, asset management, customer experience, and corporate functions.

Operating at the intersection of data engineering, analytics, and emerging AI technologies, this leader partners closely with executive stakeholders to translate business strategy into high-impact data and AI solutions.

Success is achieved through strategic direction, technical credibility, and cross-functional influence rather than day-to-day development execution.

Responsibilities


* Define and execute the enterprise data warehouse, analytics, and AI strategy aligned with business objectives and measurable outcomes


* Establish and govern modern data platform architectures including cloud data warehouses, lakehouse patterns, and AI-ready data foundations


* Lead, develop, and mentor teams across data engineering, business intelligence, and advanced analytics


* Partner with executive leadership to prioritize data and AI initiatives based on business value, operational impact, and ROI


* Oversee design, implementation, and reliability of scalable data pipelines (ETL/ELT) supporting batch and near real-time use cases


* Own cloud-based data platforms and tooling (e.g., Snowflake, Databricks, Azure, AWS) ensuring availability, performance, and scalability


* Integrate and curate data from enterprise and operational systems including GIS, ticketing, asset/work management, and customer information systems


* Establish standardized enterprise KPIs and reporting frameworks supporting field operations, productivity, and SLA performance


* Deliver trusted analytics and dashboards through enterprise BI platforms (e.g., Power BI, Tableau)


* Enable advanced analytics and AI use cases such as predictive maintenance, demand forecasting, workforce optimization, and automation


* Establish data governance, quality, lineage, and stewardship frameworks across domains


* Ensure compliance with security, privacy, and regulatory requirements applicable to data platforms and AI usage


* Partner cross-functionally with field operations, sales, GIS, customer experience, and product teams to trans...