Director, Data Analytics & Engineering, Operations NA

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

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

Company

hirify.global develops and operates data centers across North America, EMEA, and Asia Pacific for hyperscalers, cloud providers, and large enterprises.

What you will do

• Own the North America Operations data portfolio, multi-year roadmap, intake process, prioritization, investments, and solution lifecycle.
• Lead delivery of governed data pipelines, domain models, semantic layers, telemetry integrations, dashboards, intelligent workflows, and AI-ready datasets.
• Translate operational priorities into scalable technical solutions in partnership with Global Data & AI, Enterprise Architecture, platform owners, and source-system teams.
• Establish data governance, quality, lineage, metadata, access, security, controls, and lifecycle practices.
• Advance forecasting, anomaly detection, automation, AI agents, and operational decision-support capabilities from pilot to production.
• Build and lead multidisciplinary teams across data engineering, analytics engineering, business intelligence, 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, establishing governance and delivery practices, and delivering solutions tied to measurable business outcomes.
• Experience with modern cloud data, lakehouse, integration, analytics, automation, and AI ecosystems, including platforms such as Microsoft Fabric/Azure, Databricks or Snowflake, Power BI, and ServiceNow.
• Strong executive communication, stakeholder management, prioritization, negotiation, decision-making, organization design, coaching, and team-building 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 environment.
• Medical, dental, vision, life, disability, paid time off, employee assistance, and retirement benefits.
• 401(k) program with company match and additional voluntary benefits.
• Training, development, recognition, and above-market total compensation.