Director, Data Analytics & Engineering, Operations NA (AI)

Location: Denver, Colorado; hybrid schedule with 3 days in-office and 2 flexible days

Salary: $180,000–$210,000 base salary plus bonus annually

Company

hirify.global develops and operates data center infrastructure across North America, EMEA, and Asia Pacific, focusing on reliability, efficiency, scalability, and sustainability.

What you will do

• Own the North America Operations data portfolio, multiyear roadmap, intake process, prioritization, and investment decisions.
• Lead delivery of governed data pipelines, domain models, semantic layers, telemetry integrations, dashboards, intelligent workflows, and AI-ready datasets.
• Partner with Global Data & AI, Enterprise Architecture, platform owners, and source-system teams to deliver scalable technical solutions.
• Establish data governance, quality, lineage, metadata, security, controls, and lifecycle practices.
• Advance forecasting, anomaly detection, intelligent automation, AI agents, and operational decision-support capabilities.
• Build and lead a multidisciplinary organization spanning data product management, data engineering, analytics engineering, business intelligence, solution delivery, and governance.

Requirements

• Bachelor’s degree in computer science, data engineering, information systems, engineering, business, product management, or a related field.
• 10+ years of progressive experience in data analytics, data engineering, product management, enterprise data platforms, business intelligence, or a related discipline.
• 5+ years leading multidisciplinary teams, programs, or data solution portfolios.
• Experience developing data strategies and roadmaps and delivering data, analytics, digital, or AI solutions tied to measurable business outcomes.
• Experience with modern cloud data, lakehouse, integration, analytics, automation, or AI ecosystems, as well as data governance and external delivery partners.
• Strong product management, data architecture, semantic modeling, portfolio management, executive communication, stakeholder management, and people leadership skills.

Nice to have

• Master’s degree or relevant technical, data management, cloud-platform, product-management, or agile certifications.
• Experience with operational, telemetry, asset, infrastructure, industrial, or data-center environments.
• Experience advancing traditional reporting toward predictive analytics, intelligent automation, or AI-enabled solutions.

Culture & Benefits

• Flexible hybrid work policy with a collaborative, no-ego working culture.
• Medical, dental, vision, life, disability, employee assistance, and paid time off benefits.
• 401(k) program with company match and additional voluntary benefits.
• Training, development, recognition, and above-market total compensation opportunities.
• Up to 10% travel is expected and may increase as business needs evolve.