USIC
Sr.Director,DataWarehouseandAI
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“Sr. Director, Data Warehouse and AI at USIC. Skills: Data warehouse strategy, Analytics strategy, AI strategy, Data platform architecture, Cloud data platforms, Data pipelines, SQL, Python, BI platforms, AI/ML use cases. Defining and executing enterprise data warehouse, analytics, and AI strategy. Establishing and governing modern data platform architectures”
What You'll Achieve.
Mission-critical decision making across field operations, asset management, customer experience, and corporate functions; High-impact data and AI solutions; Measurable outcomes; Business value; Operational impact; ROI; Performance and scalability of data platforms; Availability and performance of cloud-based data platforms; Improved data accessibility
What They're Looking For.
Must Have
Bachelor’s degree in computer science, Engineering, Data Science, or a related field, 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, 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, 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
Nice to Have
Master’s degree, Knowledge of regulatory, compliance, and data governance frameworks, Familiarity with utility-specific systems such as SCADA, GIS, or OMS
What You'll Do.
Defining and executing enterprise data warehouse
Establishing and governing modern data platform architectures
and reliability of scalable data pipelines
Owning cloud-based data platforms and tooling
Integrating and curating data from enterprise and operational systems
Establishing standardized enterprise KPIs and reporting frameworks
Delivering trusted analytics and dashboards
Enabling advanced analytics and AI use cases
Establishing data governance
and stewardship frameworks
Ensuring compliance with security
and regulatory requirements
Driving adoption of self-service analytics
How You'll Work.
Team & Collaboration
Partnering closely with executive stakeholders; Partnering cross-functionally with field operations, sales, GIS, customer experience, and product teams; Communicating with both technical and non-technical stakeholders
Communication Scope
Communication and executive presence with both technical and non-technical stakeholders
Process & Methodology
Roadmap execution
Full Job Description
Job Description: **Location:** Remote **Salary Range:** $180,000 - $220,000 + bonus **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 rea
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