Director, Data Analytics & Engineering, Operations NA at Vantage Data Centers, Denver, CO

Director, Data Analytics & Engineering, Operations NA at Vantage Data Centers in Denver, CO. Full-time. $180,000 to $210,000 a year. Apply with swipeandhired.

Vantage powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.

Operational Excellence Department
The Operational Excellence team establishes the systems, practices, and culture that enable Vantage to operate at scale across North America with consistency, quality, and speed. We strengthen the scalability and effectiveness of NA Operations - including Mission Critical Operations, Sales Engineering, Customer Experience, and Design Integration - by partnering with business leaders and global functions to standardize how we work, drive process excellence, deliver strategic programs, enable data-driven decisions, and embed continuous improvement and transformation.
Operational Excellence at Vantage is hands-on and impact-driven. We blend delivery discipline, systems thinking, and best-in-class operational practices to address root causes, improve efficiency, and accelerate outcomes. Our team members lead high-impact initiatives, shape cross-functional ways of working, and directly influence how Vantage delivers on its growth, operational, and customer commitments.

Position Overview
This role will be based in Denver, CO. Following our flexible work policy (3 days in-office, 2 days flexible).
The Director, Operations Data Analytics & Engineering leads the management and technical delivery capability for North America Operations. This role owns the integrated Operations data portfolio and roadmap, translating operational priorities and intelligence requirements into trusted, scalable, and reusable solutions that improve how Operations plans, executes, predicts, and makes decisions.

Reporting to the Vice President of Operational Excellence, the Director builds and leads a multidisciplinary capability spanning delivery management, data engineering, analytics engineering, business intelligence, governance, and solution delivery. As the portfolio evolves, the Director may establish dedicated leadership for priority domains based on their scale, complexity, and strategic importance.

Serving as the primary Operations counterpart to Global Data & AI, the Director aligns Operations priorities with enterprise data and AI roadmaps, platforms, architecture, standards, and services. The role is accountable for Operations domain data deliverables, technical priorities, outcomes, and value realization while leveraging, rather than duplicating, enterprise capabilities.

Essential Job Functions
Data Strategy and Portfolio Management

• Own and manage the integrated Operations data portfolio and multiyear roadmap.

• Translate Operations strategy, business priorities, and intelligence requirements into coordinated delivery strategies, use cases, investment priorities, and development plans.

• Establish and oversee dedicated leadership for priority functional domains as the portfolio matures, with accountability for data strategy vision, roadmaps, requirements, adoption, and value realization.

• Establish and oversee dedicated product leadership for priority domains as the portfolio matures, with accountability for product vision, roadmaps, requirements, adoption, and value realization.

• Implement a disciplined intake, evaluation, prioritization, and sequencing process for Operations data, analytics, engineering, automation, and AI needs.

• Make portfolio investment and capacity decisions based on operational value, strategic alignment, feasibility, risk, readiness, reuse, and available resources.

• Balance immediate delivery priorities with foundational investments in scalability, data quality, interoperability, and future capabilities.

• Manage data solutions throughout their lifecycle, from discovery and development through adoption, enhancement, sustainment, consolidation, or retirement.

Data Engineering & Delivery

• Lead the design and delivery of Operations data solutions, including governed pipelines, domain data models, semantic layers, telemetry integrations, analytics, dashboards, intelligent workflows, and AI-ready datasets.

• Translate data strategy and business requirements into scalable technical solutions in partnership with Global Data & AI, Enterprise Architecture, platform owners, and source-system teams.

• Establish cross-functional teams aligned to prioritized operational outcomes, with coordinated roadmaps, backlogs, release plans, and success measures.

• Develop reusable technical patterns and shared components that reduce fragmented development, one-off reporting, and duplicative solutions.

• Establish development and lifecycle practices that support solution reliability, performance, security, scalability, interoperability, maintainability, and user experience.

• Identify and resolve delivery dependencies, capacity constraints, architectural decisions, and cross-product conflicts.

• Oversee external delivery partners and vendors, ensuring accountability for technical quality, solution outcomes, knowledge transfer, and sustainable internal ownership.

Global Data & AI Alignment

• Serve as the primary Operations partner to Global Data & AI, representing Operations priorities, dependencies, capacity requirements, and future capability needs.

• Align the Operations data roadmap with enterprise architecture, data platforms, shared engineering services, governance standards, security requirements, and AI strategy.

• Maintain clear accountability within the hub-and-spoke operating model, with Global Data & AI owning shared enterprise platforms and services and Operations owning its domain solutions, priorities, adoption, and outcomes.

• Coordinate decisions involving shared data sources, integrations, engineering capacity, platform constraints, common AI services, and cross-functional dependencies.

• Ensure Operations effectively leverages enterprise capabilities while avoiding disconnected, duplicative, or unsustainable solutions.

Data Governance and Product Quality

• Establish governance practices for the Operations data portfolio in alignment with enterprise policies and standards.

• Partner with Operations Intelligence, leads, business data owners, and stewards to define domain models, business rules, authoritative sources, ownership, and data-quality expectations.

• Ensure the technical implementation of approved KPI definitions, calculations, semantic models, decision logic, and reporting standards.

• Establish visibility into data quality, lineage, metadata, access, health, adoption, value, and issue resolution.

• Embed security, controls, quality assurance, and applicable risk and regulatory requirements throughout the development lifecycle.

Advanced Data and AI Capabilities

• Define the evolution of Operations capabilities from foundational reporting toward predictive and prescriptive insights, intelligent automation, and AI-enabled decision support.

• Establish reusable data, telemetry, integration, analytics, and AI foundations that support multiple capabilities, solutions and future use cases.

• Identify and advance opportunities involving forecasting, anomaly detection, intelligent workflows, automation, AI agents, and operational decision support.

• Evaluate prospective use cases with operations intelligence, product leads, and functional leaders based on operational value, feasibility, scalability, risk, and organizational readiness.

• Transition successful pilots and experiments into governed, secure, scalable, and supportable production capabilities.

• Monitor emerging data, AI, automation, telemetry, and operational technology practices relevant to data-center operations.

Organizational and Team Leadership

• Build and lead a multidisciplinary capability spanning lifecycle management, data engineering, analytics engineering, business intelligence, solution delivery, and data governance.
• Determine the appropriate mix of internal talent, enterprise services, embedded resources, and external delivery support.
• Establish clear roles, decision rights, and ways of working across Data Analytics & Engineering, Operations Intelligence, Global Data & AI, Operations functions, and other enterprise partners.
• Recruit, develop, and coach functional and technical professionals capable of owning complex solutions and influencing senior business and technology stakeholders.
• Ensure team members have sufficient authority to drive solution outcomes within appropriate portfolio, architecture, investment, and enterprise governance.
• Set clear performance expectations and foster a culture of accountability, curiosity, customer focus, technical excellence, and continuous improvement.
• Build strong working relationships with senior Operations, Technology, Product, Reliability Engineering, and enterprise data leaders.

Additional Duties

• Perform additional duties as assigned by management.

Job Requirements
Education

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Business, Product Management, or a related field required.

• Master’s degree in a related technical or business discipline preferred.

• Relevant technical, data management, cloud-platform, product-management, or agile certifications are a plus.

Experience

• Ten or more years of progressive experience in data analytics, data engineering, product management, , analytics, enterprise data platforms, business intelligence, or a related discipline.

• Five or more years of experience leading multidisciplinary functional or technical teams, programs, or data solution portfolios.

• Demonstrated experience developing data strategies and roadmaps and delivering data, analytics, digital, or AI solutions tied to measurable business outcomes.

• Experience establishing or scaling data management, engineering, governance, and delivery practices.

• Experience leading or cross-functional teams responsible for distinct data domains.

• Experience operating within a federated or hub-and-spoke model and partnering with centralized enterprise technology teams.

• Experience delivering solutions within modern cloud data, lakehouse, integration, analytics, automation, or AI ecosystems.

• Experience managing external engineering, analytics, application, or technology delivery partners.

• Experience with operational, telemetry, asset, infrastructure, industrial, or data-center environments strongly preferred.

• Experience advancing capabilities from traditional reporting toward predictive analytics, intelligent automation, or AI-enabled solutions preferred.

Skills

• Strong knowledge of data engineering, analytics engineering, data architecture, semantic modeling, business intelligence, governance, automation, and AI enablement.
• Experience delivering solutions across modern cloud data, lakehouse, integration, analytics, governance, automation, and AI ecosystems, with working knowledge of platforms and capabilities such as Microsoft Fabric / Azure, Databricks or Snowflake, Power BI, ServiceNow, Power Platform, Copilot Studio, data catalog, lineage, metadata management, data quality, access-control, master data management, telemetry platforms, and operational systems such as CMMS / EAM.

• Ability to build a capability that balances focused data solution ownership with coordinated portfolio governance.

• Ability to translate complex operational needs into clear strategies, technical roadmaps, investment priorities, and executable delivery plans.

• Strong portfolio management and prioritization skills, including evaluating competing needs, dependencies, capacity, risk, readiness, and business value.

• Strong business and technical judgment, with the ability to balance immediate delivery needs with long-term capability development.

• Ability to lead through influence across business, technology, operational, enterprise platform, and external partner organizations.

• Strong executive communication, stakeholder management, negotiation, and decision-making skills.

• Ability to communicate complex data, solution, technology, and AI concepts clearly to technical and nontechnical audiences.

• Strong people leadership skills, including organization design, talent development, coaching, performance management, and team building.

• High degree of ownership, accountability, curiosity, and comfort operating in a complex and evolving environment.

Additional Details
Physical Demands and Special Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.

• Salary Range: $180,000 - 210,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations)

• This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits

• Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown.

#LI-Hybrid #LI-AH

We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other’s strengths and respecting each other’s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.

Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.

Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.

Vantage is an Equal Opportunity Employer.
Vantage does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage.

We’ll be accepting applications for at least one week from the date this role is posted. If you're interested, we encourage you to apply soon—we’re excited to find the right person and will keep the role open until we do!