AI Consultant, Development & Asset Lifecyle, Global

EVOCS OVERVIEW EVOCS’s journey began with a mission to empower businesses with advisory expertise, empowered with idealtechnologies to provide them with comprehensive solutions to grow and prosper. Founded by a team of passionate experts, EVOCS has grown into a trusted partner to a growing number of leaders across their respective industries. Our roots in employee-managed operations reflect our commitment to quality, consistency, and client success.

If you enjoy working in a hyper-fast-growing company, are eager to be part of an agile team, and want to be part of our success story, then let’s talk! 🎯 Role Overview This is a rare opportunity to serve as a trusted AI advisor and discovery catalyst embedded within a world-class Data Center Development Asset Lifecycle function. You'll act as the critical bridge between business operations and development of meaningful AI solutions, translating real operational needs into validated, high-impact opportunities for AI-driven transformation.

You'll work across the full data center asset lifecycle, connecting critical handoff points between IT AI, Market Development, Engineering Construction, and Operations Facilities to identify improvement opportunities to drive AI solutions. Success requires equal parts business acumen, technical fluency, and the interpersonal skills to build trust with stakeholders at every level of enthusiasm for AI. This isn't a build role, it's a discover, validate, and advise role, thinks solutions not build.

What You Will Do

In this role, you will: Discovery Relationship Building Embed across the asset lifecycle, conducting structured discovery sessions and regular listening tours, to build trusted relationships with development managers, program directors, transition teams, and asset management professionals, becoming the go-to resource for AI opportunity identification at organizational handoff points. Translate lifecycle challenges into preliminary AI use cases, assessing feasibility against data availability across development databases, project management systems, BIM models, and operational platforms. Build a champion network spanning multiple functional boundaries, identifying transition managers, program leads, and asset management professionals who feel the pain points at organizational seams.

Opportunity Assessment Validation Validate AI opportunities through rapid assessment of business value potential, evaluating impact on transition quality, information continuity, lifecycle cost optimization, and time-to-operational-readiness for new facilities. Develop high-quality data capture options, capturing cross-functional context, data lineage, integration complexity, lifecycle impact, and success criteria, to set up downstream teams for success Cross-Functional Collaboration Facilitate cross-functional workshops bringing together stakeholders from different lifecycle phases to envision a continuous digital thread from development concept through operational performance. Partner with construction and lifecycle stakeholders to develop success criteria that span functional boundaries, measuring end-to-end lifecycle outcomes rather than single-function improvements.

, operational procedures or future development standards). Support change management across organizational boundaries, helping teams understand how lifecycle AI tools benefit the entire value chain. Strategy Continuous Improvement Maintain deep understanding of the full data center lifecycle, market entry through decommissioning, monitoring emerging AI capabilities including digital twins, predictive asset management, and cross-system data integration to continuously surface new opportunities.