Director, Global Navigators

Job not on LinkedIn

🕒 March 19

🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🏈 Ohio – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

💵 $200k - $210k / year

⏰ Full Time

🔴 Lead

👔 Director

🦅 H1B Visa Sponsor

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Vantage Data Centers

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🏢 Enterprise

Enterprise

Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.

📋 Description

• Lead a team of Navigators embedded across Engineering & Construction, Operations & Facilities, Corporate Services, Sales/Marketing/Customer, IT & Security, Market Development, and Development & Asset Lifecycle functions, developing capabilities that balance business understanding with AI opportunity assessment. • Establish and continuously refine discovery methodologies, validation frameworks, and intake processes that enable Navigators to identify friction points, assess business value, and prepare comprehensive handoff documentation for the Accelerators team. • Build and maintain executive relationships across all functional areas, establishing credibility as a trusted advisor who understands business challenges while providing realistic assessment of AI capabilities and limitations. • Partner with Director, AI Delivery, Global to ensure seamless handoffs from validated opportunities to rapid prototyping execution, maintaining accountability for business context transfer that enables solutions teams to succeed without excessive discovery rework. • Partner with Director, AI Platforms, Global to ensure Navigators understand current platform capabilities, adoption metrics, and roadmap priorities, enabling them to identify opportunities that leverage existing infrastructure rather than requiring net-new development. • Develop organizational AI literacy through champion networks, ideation workshops, and educational initiatives that help business stakeholders understand AI possibilities while maintaining realistic expectations about implementation timelines and complexity. • Manage opportunity pipeline health, balancing discovery volume against Accelerators team capacity to ensure AI Solutions Engineers maintain sustainable sprint velocities while business functions receive appropriate attention and responsiveness. • Champion responsible AI principles throughout discovery and validation, ensuring ethical considerations, bias mitigation, data privacy compliance, and governance requirements are assessed before opportunities advance to prototyping investment. • Drive continuous improvement of intake effectiveness by analyzing conversion rates, stakeholder satisfaction, prototype success rates, and lessons learned that inform methodology refinement and team capability development. • Recruit, onboard, and develop Navigators, providing coaching on discovery techniques, stakeholder management, opportunity assessment frameworks, and business value articulation that enables team success across all seven functional domains. • Facilitate weekly team syncs sharing discovery insights, emerging patterns, cross-functional opportunities, and lessons learned that accelerate collective capability while preventing duplicated effort across functions. • Conduct quarterly business reviews with functional leaders, presenting discovery pipeline health, validated opportunity summaries, and strategic recommendations that inform AI investment prioritization. • Establish quality gates for opportunity validation, defining criteria that distinguish opportunities ready for prototyping from those requiring additional discovery, business case development, or stakeholder alignment before advancement. • Create standardized intake documentation templates, assessment frameworks, and handoff packages that ensure Accelerators teams receive comprehensive business context without requiring Navigator involvement during prototyping sprints. • Build champion networks across all functional areas, identifying power users, early adopters, and influential stakeholders who amplify AI adoption while providing valuable feedback on prototype demonstrations. • Monitor emerging AI capabilities, industry trends, and competitive intelligence to proactively identify opportunity patterns applicable across multiple functions while educating team on relevant innovations worth exploring. • Facilitate prioritization discussions balancing opportunity business value, technical feasibility, data availability, stakeholder readiness, and strategic alignment to optimize limited prototyping capacity allocation. • Collaborate with the Platforms team on change management and adoption strategies, training programs, and communication approaches that support AI transformation while addressing resistance and building organizational change capability. • Track discovery metrics including opportunities identified, validation cycle time, advancement rates, prototype approval percentages, and business value realization to demonstrate intake function effectiveness and identify improvement areas. • Partner with Legal, Compliance, and Security teams to ensure discovery process incorporates appropriate risk assessment, regulatory consideration, and governance review before opportunities advance to resource-intensive prototyping phases. • Design and facilitate ideation workshops, innovation sessions, and discovery sprints that help business stakeholders envision AI transformation beyond incremental automation while grounding expectations in realistic capability assessment. • Support Navigators in handling organizational dynamics, stakeholder resistance, and political complexity that can derail discovery efforts, providing strategic guidance and executive air cover when needed. • Maintain awareness of data center industry evolution, construction methodology advances, regulatory changes, and competitive landscape shifts that create new friction points or opportunity patterns worth exploring through AI solutions. • Contribute to broader AI strategy development by sharing discovery insights, opportunity patterns, and organizational readiness assessment that inform strategic planning, capability building, and platform investment decisions. • Handle additional duties as assigned by Leadership.

🎯 Requirements

• Bachelor’s degree in Business, Engineering, or related field; MBA or advanced degree highly desirable. • Extensive experience leading business transformation initiatives, innovation programs, or strategic consulting engagements with proven track record developing opportunity pipelines that delivered measurable business value. • Deep understanding of data center operations, construction workflows, infrastructure delivery, or AEC/O industry dynamics, enabling credible engagement with business stakeholders about operational challenges and improvement opportunities. • Strong foundation in AI/ML capabilities, application patterns, and practical limitations with ability to assess opportunity feasibility without requiring hands-on technical implementation expertise. • Demonstrated success building and leading teams across diverse functional domains, developing talent with varied business backgrounds while maintaining cohesive team identity and consistent methodology application. • Exceptional stakeholder management capabilities with track record building trusted relationships with C-suite executives, functional leaders, and operational teams across complex matrix organizations. • Experience designing discovery methodologies, assessment frameworks, and intake processes that balance rigor with velocity, ensuring quality opportunity validation without creating bureaucratic obstacles. • Strong business acumen with ability to distinguish between opportunities that justify investment versus those better deferred, demonstrating courage to decline initiatives despite stakeholder enthusiasm when business case lacks substance. • Excellent communication and facilitation skills with ability to run workshops, conduct discovery sessions, present to executives, and translate technical concepts into business narratives that resonate across diverse audiences. • Understanding of change management principles, organizational development practices, and adoption strategies that support technology transformation while addressing resistance and building capability. • Familiarity with responsible AI principles, data ethics frameworks, and governance requirements sufficient to ensure intake process incorporates appropriate risk assessment and compliance consideration. • Track record of operating successfully in fast-paced, ambiguous environments where processes evolve continuously and team members require autonomy balanced with strategic alignment. • Collaborative leadership style with ability to partner effectively with technical leaders, influence without authority, and navigate organizational complexity while maintaining focus on business outcomes. • Growth mindset with curiosity about emerging AI capabilities, willingness to experiment with new discovery approaches, and commitment to continuous improvement of intake methodologies and team effectiveness.

🏖️ Benefits

• 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 • many other additional voluntary benefits