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VP, AI Transformation

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Compass Datacenters
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

At Compass Datacenters, we aren’t just looking for someone to manage software; we are looking for the architect of our "Enterprise Brain." We are evolving from a traditional SaaS-based ERP shop into an agile, AI-first organization. Your mission is to lead the Application teams in building an intelligent orchestration layer that sits on top of our existing tools. You will move us from being a passive consumer of software to an active orchestrator of AI, ensuring our technology strategy delivers exponential efficiency and aligns perfectly with our organizational goals.

Key Responsibilities Strategy & AI Roadmap Orchestration
  • The AI Pivot:
    Define and execute the roadmap to transition Compass from passive SaaS consumption to an active AI-orchestration model.
  • Exponential Efficiency:
    Prioritize and deploy AI use cases that drive radical improvements in ERP workflows across Finance, HR, and Supply Chain.
  • Modern Standards:
    Set and evolve IT standards for our core stack—including Net Suite, Procore, and Autodesk Construction Cloud (ACC)—ensuring every application is managed with an AI-first mindset.
Leadership & Cultural Transformation
  • "The Co-Pilot" Model:
    Act as the primary evangelist for "AI-First" thinking, moving the IT organization from a ticket-taker mindset to a strategic "co-pilot" partnership with business units.
  • Agile Mentorship:
    Mentor and grow the IT team to embrace an agile mindset, fostering a culture of continuous delivery and rapid iteration.
  • Cross-Functional Collaboration:

    Partner with Design, Construction, Innovation, Safety, and Finance to optimize processes and implement scalable, intelligent solutions.
Partner Evolution & Risk Management
  • Vendor Accountability:
    Shift vendor management from traditional waterfall models to AI-driven performance metrics, holding partners accountable for their generative AI roadmaps.
  • Interoperability:
    Ensure all external SaaS tools integrate seamlessly with our internal AI stack.
  • Operational Excellence:
    Maintain high standards for service delivery while managing the risks associated with rapid AI transformation.
JOB EXPERIENCE Proven Experience
  • Transformation Architect:
    You have a track record of leading significant digital transformations. You’ve moved organizations away from "legacy thinking" into modern, automated, or AI-driven environments.
  • Ecosystem Expertise:
    You have deep, hands-on familiarity with enterprise platforms (ideally Net Suite, Procore, or ACC) and understand how to extract value from them beyond their out-of-the-box features.
  • AI Implementation:
    You can demonstrate instances where you have successfully integrated AI or advanced automation into business workflows to solve real-world problems.
  • Leadership Performance:
    You have a history of building high-performing teams, mentoring technical talent, and successfully managing stakeholders at the executive level.
KNOWLEDGE & SKILLS The AI-First Mindset
  • The "Enterprise Brain" Visionary:
    You see software not as a destination, but as a data source for a larger, more intelligent system.
  • Agile & Adaptable:
    You thrive in ambiguity and prefer iterative progress over rigid, multi-year waterfall plans.
  • Business-Centric:
    You speak the language of Finance, Construction, and HR. You view technology as a tool to solve business problems, not an end in itself.
  • Radical Curiosity:
    You are constantly learning and experimenting with the latest in AI/ML and Generative AI/LLM orchestration to stay ahead of the curve.

This description is intended to reflect the primary functions of the job. However, it is not an all-inclusive listing. Further, the job description is subject to change at the discretion of management.

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