Sr. Director, Data Warehouse and AI

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 translate business needs into scalable data solutions
• Drive adoption of self-service analytics and improve data accessibility across the organization
• Evaluate and implement emerging technologies in AI/ML automation and modern analytics to continuously mature capabilities

Requirements

• Bachelors degree in computer science Engineering Data Science or a related field; Masters degree preferred
• 10 years of experience in data engineering analytics or enterprise data platform roles
• 5 years of progressive leadership experience managing technical teams
• Proven experience designing and operating large-scale cloud-based data warehouse or lakehouse platforms
• Strong technical depth in data pipelines modern data architectures SQL and Python
• Experience with enterprise BI and analytics platforms
• Demonstrated ability to align data and AI initiatives to business strategy and operational outcomes
• Strong communication and executive presence with both technical and non-technical stakeholders
• Ability to lead through influence standards and roadmap execution
• Experience applying AI/ML to operational or infrastructure-focused use cases
• Knowledge of regulatory compliance and data governance frameworks is preferred
• Familiarity with utility-specific systems such as SCADA GIS or OMS preferred

We are an Equal Opportunity Employer. Veterans are encouraged to apply.