Director of AI & Data Analytics

Key Responsibilities

• Be the Data Whisperer: Building Business Intelligence & Insights
• Partner with leaders across the business to understand their data challenges
• Translate "I need a report" into "here's the insight you actually need"
• Design and model data solutions that enable self-service analytics
• Build cross-functional relationships with engineering, product, finance, operations, and marketing teams
• Quantify ROI and inform strategic decision-making
• Measure and report key business metrics, operational efficiency, customer growth, and service quality
• Mentor and align business analysts in other departments on their reporting strategies
• AI & Analytics Strategy
• Define and execute a company-wide AI and analytics roadmap aligned with DataBank’s business and technology objectives
• Drive the evolution from traditional BI to predictive and generative AI-driven insights across DataBank’s data ecosystem
• Champion the integration of AI into key workflows, from customer intelligence to operational automation
• Develop AI models for forecasting, anomaly detection, and intelligent automation in data center operations
• Build ML pipelines that go beyond PowerPoints demos and into production
• Optimize the existing MSSQL to Snowflake replication and data warehousing strategy to establish patterns of anti-fragility
• Lead (When You're Not Coding)
• Build and mentor a high-performing team of data engineers, scientists, and AI specialists
• Define and execute an AI and analytics roadmap that aligns with business objectives
• Champion the evolution from "here's what happened" to "here's what's about to happen and what we should do about it"
• Make Data Governance Not Boring
• Implement data quality, security, and compliance frameworks that meet regulatory standards
• Ensure AI practices align with compliance requirements where applicable

Qualifications

• Bachelor’s degree in computer science, Data Science, Engineering, or related field (Master’s preferred)
• 10+ years wrangling data, building pipelines, or developing AI/ML solutions with 3+ years in leadership roles
• Proven experience building scalable data platforms and deploying production-grade AI/ML solutions
• Deep expertise in data modeling – you dream in star schemas and know when to denormalize
• Extra credit if you have a small shrine dedicated to Ralph Kimball
• Proven track record building scalable data platforms and deploying production-grade AI/ML solutions
• Experience with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain)
• Deep Expertise in cloud-native data technologies, you've built data transformations with:
• Data warehousing - 5 years. Snowflake preferred, Databricks, AWS/Azure data services are an acceptable alternative
• Enterprise BI Reporting – 5 years. Sigma Computing preferred. Power BI or Tableau is an acceptable alternative
• Orchestration tools (Airflow and dbt)