Director, Data Products & Engineering, Operations NA
About Vantage
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 Products & Engineering leads the data product management and technical delivery capability for North America Operations. This role owns the integrated Operations data product portfolio and roadmap, translating operational priorities and intelligence requirements into trusted, scalable, and reusable products 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 data product management, data engineering, analytics engineering, business intelligence, governance, and solution delivery. As the portfolio evolves, the Director may establish dedicated product 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 products, technical priorities, delivery outcomes, and value realization while leveraging, rather than duplicating, enterprise capabilities.
Essential Job Functions
Data Product Strategy and Portfolio Management
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Own and manage the integrated Operations data product portfolio and multiyear roadmap.
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Translate Operations strategy, business priorities, and intelligence requirements into coordinated product strategies, use cases, investment priorities, and delivery plans.
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Establish a product management operating model with clear roles, decision rights, lifecycle practices, and governance across product, engineering, business, and enterprise technology teams.
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Establish and oversee dedicated product leadership for priority domains as the portfolio matures, with accountability for product vision, roadmaps, requirements, adoption, and value realization.
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Implement a disciplined intake, evaluation, prioritization, and sequencing process for Operations data, analytics, engineering, automation, and AI needs.
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Make portfolio investment and capacity decisions based on operational value, strategic alignment, feasibility, risk, readiness, reuse, and available resources.
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Balance immediate delivery priorities with foundational investments in scalability, data quality, interoperability, and future capabilities.
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Manage products throughout their lifecycle, from discovery and development through adoption, enhancement, sustainment, consolidation, or retirement.
Data Product and Engineering Delivery
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Lead the design and delivery of Operations data products, including governed pipelines, domain data models, semantic layers, telemetry integrations, analytics, dashboards, intelligent workflows, and AI-ready datasets.
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Translate product strategies and business requirements into scalable technical solutions in partnership with Global Data & AI, Enterprise Architecture, platform owners, and source-system teams.
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Establish cross-functional product teams aligned to prioritized operational outcomes, with coordinated roadmaps, backlogs, release plans, and success measures.
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Develop reusable technical patterns and shared components that reduce fragmented development, one-off reporting, and duplicative solutions.
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Establish development and lifecycle practices that support product reliability, performance, security, scalability, interoperability, maintainability, and user experience.
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Identify and resolve delivery dependencies, capacity constraints, architectural decisions, and cross-product conflicts.
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Oversee external delivery partners and vendors, ensuring accountability for technical quality, product outcomes, knowledge transfer, and sustainable internal ownership.
Global Data & AI Alignment
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Serve as the primary Operations partner to Global Data & AI, representing Operations priorities, dependencies, capacity requirements, and future capability needs.
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Align the Operations data product roadmap with enterprise architecture, data platforms, shared engineering services, governance standards, security requirements, and AI strategy.
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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 products, priorities, adoption, and outcomes.
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Coordinate decisions involving shared data sources, integrations, engineering capacity, platform constraints, common AI services, and cross-functional dependencies.
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Ensure Operations effectively leverages enterprise capabilities while avoiding disconnected, duplicative, or unsustainable solutions.
Data Governance and Product Quality
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Establish governance practices for the Operations data product portfolio in alignment with enterprise policies and standards.
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Partner with Operations Intelligence, product leads, business data product owners, data owners, and stewards to define domain models, business rules, authoritative sources, ownership, and data-quality expectations.
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Ensure the technical implementation of approved KPI definitions, calculations, semantic models, decision logic, and reporting standards.
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Establish visibility into data quality, lineage, metadata, access, product health, adoption, value, and issue resolution.
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Embed security, controls, quality assurance, and applicable risk and regulatory requirements throughout the product lifecycle.
Advanced Data and AI Capabilities
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Define the evolution of Operations capabilities from foundational reporting toward predictive and prescriptive insights, intelligent automation, and AI-enabled decision support.
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Establish reusable data, telemetry, integration, analytics, and AI foundations that support multiple products and future use cases.
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Identify and advance opportunities involving forecasting, anomaly detection, intelligent workflows, automation, AI agents, and operational decision support.
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Evaluate prospective use cases with operations intelligence, product leads, and functional leaders based on operational value, feasibility, scalability, risk, and organizational readiness.
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Transition successful pilots and experiments into governed, secure, scalable, and supportable production capabilities.
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Monitor emerging data, AI, automation, telemetry, and operational technology practices relevant to data-center operations.
Organizational and Team Leadership
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Build and lead a multidisciplinary capability spanning data product management, data engineering, analytics engineering, business intelligence, solution delivery, and data governance.
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Determine the appropriate mix of internal talent, enterprise services, embedded resources, and external delivery support.
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Establish clear roles, decision rights, and ways of working across Data Products & Engineering, Operations Intelligence, Global Data & AI, Operations functions, and other enterprise partners.
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Recruit, develop, and coach product and technical professionals capable of owning complex products and influencing senior business and technology stakeholders.
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Ensure product leaders have sufficient authority to drive product outcomes within appropriate portfolio, architecture, investment, and enterprise governance.
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Set clear performance expectations and foster a culture of accountability, curiosity, customer focus, technical excellence, and continuous improvement.
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Build strong working relationships with senior Operations, Technology, Product, Reliability Engineering, and enterprise data leaders.
Additional Duties
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Perform additional duties as assigned by management.
Job Requirements
Education
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Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Business, Product Management, or a related field required.
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Master’s degree in a related technical or business discipline preferred.
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Relevant technical, data management, cloud-platform, product-management, or agile certifications are a plus.
Experience
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Ten or more years of progressive experience in data products, product management, data engineering, analytics, enterprise data platforms, business intelligence, or a related discipline.
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Five or more years of experience leading multidisciplinary product or technical teams, programs, or product portfolios.
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Demonstrated...