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. This isn't a program management or solution-building role; it's about discovering, validating, and preparing the right AI opportunities so they're ready for rapid prototyping.

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.

🧩 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 detailed intake documentation, 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 lifecycle stakeholders to develop success criteria that span functional boundaries, measuring end-to-end lifecycle outcomes rather than single-function improvements.
• Serve as a cross-functional connector, identifying patterns where insights from one lifecycle phase (e.g., construction learnings) can meaningfully inform another (e.g., 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.
• Champion responsible AI principles across lifecycle applications, ensuring solutions maintain appropriate governance, access controls, and accountability structures.
• Contribute methodology improvements and track discovery pipeline health, reporting on cross-functional conversion metrics.

🧠 What you will bring

The top candidate will have the following skills:

• 5–7+ years of experience across multiple phases of the data center or infrastructure asset lifecycle, development, construction, and/or operations.
• Practical experience: able to speak industry terminology,, worked with construction teams, worked with data center construction teams, project managers, asset managers, etc.
• AI knowledge: familiarity with digital twins, predictive analytics, cross-system data integration, and lifecycle optimization as they apply to infrastructure asset management.
• Lifecycle fluency: you understand how data center assets progress from market identification through design, construction, commissioning, operations, and capital reinvestment, and appreciate the information challenges at each transition point.
• Systems toolkit awareness: experience with project management platforms, BIM tools, construction management software, CMMS/EAM systems, and operational monitoring platforms.
• Cross-functional credibility and handoff expertise: a track record of working across organizational boundaries and solving process breakdowns at the seams where information loss or misalignment creates downstream inefficiencies.
• Strong systems thinking: you understand how decisions in one lifecycle phase cascade through subsequent phases and impact long-term asset performance.
• Comfort with ambiguity and genuine curiosity:  you thrive in the spaces between established functions and are fascinated by how different teams experience the same asset at different lifecycle stages.

Additional Information: 

• Travel is expected at 25–35% to support cross-functional relationship building and site visits across development, construction, and operating facilities. This position is remote first.  If located in Colorado or Metro Denver is helpful, not required.
• Candidates may be asked to attend an in person interview.

#LI-Remote

👥 Our Values

We are privileged to serve our loyal customer base in our mission to build lasting relationships with our clients based on trust and mutual success. We strive to deliver exceptional quality and consistency through a white-glove approach. By empowering businesses with tailored solutions and insights, we help them achieve their goals and navigate the ever-evolving tech landscape.

The values we live by:

• Customer-centric Solutions
• Innovation & Excellence
• Integrity & Transparency
• Data-driven Decision Making

📝 Need to Know

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.