Director of AI & Data Analytics

DataBank Holdings Ltd. is a leading provider of enterprise‑class data center, cloud, and interconnection services, offering customers 100% uptime availability of data, applications, and infrastructure. DataBank's managed data center services are anchored in world‑class facilities. Our customized technology solutions are designed to help customers effectively manage risk, improve technology performance, and allow focus on core business objectives. DataBank is headquartered in the historic former Federal Reserve Bank Building, in downtown Dallas, TX.

DataBank is proud to be an Equal Opportunity Employer. Our work culture does not discriminate based on actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veterans' status, gender, gender identity, gender expression, genetic information, sexual orientation, or any other characteristic protected by applicable federal, state, or local law.

We're looking for a hands‑on Director of AI & Data Analytics who still loves getting their hands dirty in code. This isn't a "pure management" role where you sit in meetings all day – you’ll spend roughly 50% of your time leading and mentoring your team and other engineering members, and the remaining 50% hands‑on, writing SQL, building data pipelines, architecting solutions, and tackling complex technical challenges directly.

You’ll be the technical architect and strategic driver of DataBank’s data and AI initiatives, turning our mountain of infrastructure, operations, and customer data into actual intelligence that people use. Think: predictive analytics that prevent problems before they happen, AI models that optimize efficiency across data centers, and self‑service analytics that make everyone's life easier. The ideal candidate blends technical depth in data architecture, AI/ML engineering, and cloud analytics with a strong business sense for driving measurable outcomes.

Key Responsibilities

Be the Data Whisperer: Building Business Intelligence & Insights

• Partner with leaders across the business to understand their data challenges and translate "I need a report" into the insight that actually matters.
• Design and model data solutions that enable self‑service analytics – teaching people to fish is better than becoming the company’s fish‑delivery service.
• Build cross‑functional relationships with engineering, product, finance, operations, and marketing teams who all have quick data questions, 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.

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 PowerPoint demos and into production.

Fix What’s Broken, Build What’s Missing

• Untangle and optimize data structures that have become organically complex over time.
• 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

Must‑Haves

• Bachelor’s degree in computer science, data science, engineering, or related field (Master’s preferred).
• 10+ years of experience wrangling data, building pipelines, or developing AI/ML solutions with at least 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.
• Experience with modern AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain).
• Deep expertise in cloud‑native data technologies, having built data transformations with Snowflake (preferred), Databricks, or AWS/Azure data services.
• Enterprise BI reporting experience – 5 years. Sigma Computing (preferred); Power BI or Tableau acceptable alternatives.
• Proficiency with orchestration tools such as Airflow and dbt.

What Makes This Role Interesting

• Designing the data foundation for one of the fastest‑growing data center companies in the world, operating 65+ data centers across North America.
• Building AI capabilities that optimize real‑world physical infrastructure (power, cooling, capacity planning).
• Creating intelligence systems that make our customers' lives better and our operations more efficient.
• Working cross‑functionally with smart people who actually care about using data well.
• Having the autonomy to fix technical debt while building new capabilities.

Why Join?

• Lead a high‑impact AI and data analytics function at the intersection of cloud, edge, and infrastructure innovation.
• Collaborative, values‑driven culture that prioritizes integrity, innovation, and operational excellence.
• Competitive compensation, 401(k) match, health and wellness benefits, and generous PTO.

To be considered for this position, all candidates must be U.S. citizens or hold a valid Green Card and live in the U.S. This requirement is due to DataBank’s compliance with FedRAMP and FISMA regulations.

No third‑party recruiters.

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