Sr. Director, Data Warehouse and AI
About The Position
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.
Requirements
- Bachelor’s degree in computer science, Engineering, Data Science, or a related field; Master’s 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
Nice To Haves
- Knowledge of regulatory, compliance, and data governance frameworks is preferred
- Familiarity with utility-specific systems such as SCADA, GIS, or OMS preferred
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
