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Arootah

Fractional Chief AI Officer / AI Strategy Leader (Advisor Network)

Posted Yesterday
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Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Join Arootah's advisor network to provide fractional Chief AI Officer / AI Strategy leadership to hedge funds, private equity firms, and family offices. Advise on AI initiatives, strategy, governance, vendor evaluation, workflow automation, change management, and implementation roadmaps. Engage on project-based assignments; client origination handled by Arootah.
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Opportunity Overview

Arootah engages a curated network of senior operators to support clients across the alternative investment industry, including hedge funds, private equity firms, and family offices. Advisors are deployed on project-based engagements when client needs match their expertise. Joining the network does not guarantee placement; it provides access to opportunities as they arise.

Why Join the Arootah Network
  • Alt-industry-only engagements with hedge funds, private equity firms, and family offices
  • Project-based work that fits around existing commitments
  • Client origination and engagement management handled by Arootah; advisors focus on delivery
About Arootah

Arootah is a talent solutions firm purpose-built for the alternative investment industry. We advise and we execute, covering the full talent spectrum from entry to exit across five services: Talent Acquisition, Fractional Leadership, Talent Development, Retention & Compensation, and Transition.

Most talent firms solve one problem. Because we cover the full spectrum, we can help clients identify and solve the right one. We start with diagnosis, then deliver.

Our team has run alternative investment firms at the highest levels as COOs, CFOs, and CCOs. That operator experience, combined with 15+ years of alternatives-specific recruiting and a network of 700+ vetted advisors across 18 functional disciplines, is what makes the advice credible and the execution reliable. We also draw on a network of 600+ coaches, deploying those with specific experience guiding senior executives in the alternatives industry.

One industry. One talent partner. Entry to exit.

Learn more: https://arootah.com/

Who We’re Looking For

    Arootah is seeking experienced Chief AI Officers, AI Strategy Leaders, and senior transformation executives to join our advisor network and support clients across the alternative investment landscape.
     
    As part of the network, you may be engaged with hedge funds, private equity firms, and family offices to provide strategic, project-based leadership across AI initiatives, automation, workflow optimization, and digital transformation efforts.

Core Areas of Expertise

    • Assessing and implementing AI initiatives across investment, operational, and business functions
    • Identifying opportunities to leverage AI for workflow automation, research enhancement, and operational efficiency
    • Developing AI strategy, governance frameworks, and implementation roadmaps
    • Partnering with leadership teams to prioritize and execute high-impact AI use cases
    • Evaluating AI tools, vendors, and emerging technologies relevant to alternative investment firms
    • Driving organizational adoption, change management, and cross-functional AI enablement initiatives

What You Bring

    • Prior experience leading AI, digital transformation, technology strategy, or innovation initiatives within financial services, alternative investments, or enterprise organizations
    • Deep understanding of AI technologies, automation tools, and organizational implementation strategies
    • Proven track record of executing technology and transformation initiatives that drive measurable business impact
    • Strong leadership, communication, and stakeholder management skills
    • Ability to operate both strategically and hands-on in dynamic environments

Important Note
 
This opportunity is to join Arootah’s advisor network and is not tied to a specific active engagement. Advisors are engaged on an as-needed basis, based on client demand and fit.

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