Director, Data Products & Engineering, Operations NA
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Denver, Colorado, United States; hybrid schedule with 3 days in-office and 2 flexible days
Salary: $180,000β$200,000 annual base salary plus bonus
Company
develops and operates data centers across North America, EMEA, and Asia Pacific for hyperscalers, cloud providers, and large enterprises, with a focus on reliability, efficiency, and sustainability.
What you will do
- Own the North America Operations data product portfolio, roadmap, investment priorities, and lifecycle governance.
- Lead the design and delivery of governed data pipelines, domain models, semantic layers, telemetry integrations, analytics, dashboards, intelligent workflows, and AI-ready datasets.
- Align Operations priorities with Global Data & AI, Enterprise Architecture, platform owners, and source-system teams.
- Establish reusable technical patterns, product operating models, delivery practices, and quality standards across data and analytics products.
- Advance forecasting, anomaly detection, intelligent automation, AI agents, and operational decision-support capabilities from pilots into production.
- Build and lead a multidisciplinary organization spanning product management, data engineering, analytics engineering, business intelligence, solution delivery, and governance.
Requirements
- Bachelorβs degree in Computer Science, Data Engineering, Information Systems, Engineering, Business, Product Management, or a related field.
- 10+ years of progressive experience in data products, product management, data engineering, analytics, enterprise data platforms, business intelligence, or a related discipline.
- 5+ years leading multidisciplinary product or technical teams, programs, or product portfolios.
- Experience developing product strategies and roadmaps and delivering data, analytics, digital, or AI products tied to measurable business outcomes.
- Experience with modern cloud data, lakehouse, integration, analytics, automation, or AI ecosystems, as well as federated or hub-and-spoke operating models.
- Strong portfolio management, executive communication, stakeholder management, negotiation, decision-making, and people leadership skills.
Nice to have
- Masterβs 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
- No-ego, collaborative working environment focused on accountability, curiosity, customer focus, technical excellence, and continuous improvement.
- Medical, dental, vision, life, disability, paid time off, employee assistance, and retirement benefits with company match.
- Training, development, recognition, and an above-market total compensation package.
- Travel of up to 10% is expected and may increase as business needs evolve.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β