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DataBank · 2 months ago

Director of AI & Data Analytics

Dallas, TX

Full-time

Onsite

Director/Executive

10+ years exp

DataBank Holdings Ltd. is a leading provider of enterprise-class data center, cloud, and interconnection services. The Director of AI & Data Analytics will lead and mentor a team while also engaging hands-on in coding and developing AI models to drive data insights and operational efficiency.

ConsultingInformation TechnologyRisk Management

No H1B

U.S. Citizen Only

Responsibilities

Partner with leaders across the business to understand their data challenges (and translate "I need a report" into "here's the insight you actually need")

Design and model data solutions that enable self-service analytics – because teaching people to fish is way better than becoming the company's fish-delivery service

Build cross-functional relationships with engineering, product, finance, operations, and marketing teams who all have "just one quick data question" teams to 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

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

Untangle and optimize data structures that have gotten "organically complex" over time

Optimize the existing MSSQL to Snowflake replication and data warehousing strategy to establish patterns of anti-fragility

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 (the real ones, not just buzzword bingo)

Champion the evolution from "here's what happened" to "here's what's about to happen and what we should do about it"

Implement data quality, security, and compliance frameworks that meet regulatory standards

Ensure AI practices align with compliance requirements where applicable

Qualification

Data ArchitectureAI/ML EngineeringCloud AnalyticsData WarehousingData ModelingSQLMSSQLSnowflakePower BITableauPyTorchTensorFlowHugging FaceLangChainAirflowDbt