Partner, AI & Data

Maverix Private Equity • Toronto, ON

1d • Onsite

About The Position

Maverix Private Equity is seeking a Partner, AI & Data to build its Data & AI capability. This is a new role, reporting to the Managing Partners, designed for someone who can operate at the intersection of PE and applied AI. The role involves being part internal builder, part external advisor, and a full thought partner to founders and leadership teams navigating an AI-first world. The position is akin to the AI/Data equivalent of the firm's Growth function, requiring someone embedded enough to understand the business, credible enough to challenge and guide, and practical enough to build solutions.

Requirements

• Have built and shipped real AI products in production environments.
• Have made decisions under uncertainty, scaled teams, and lived with the consequences.
• Have direct experience building or deploying AI/data solutions at a company, not just advising on them.
• Can talk to a CEO about business outcomes and to an engineering team about architecture, without losing credibility in either room.
• Comfortable in ambiguity and early-stage organizational contexts.
• Genuine intellectual curiosity about where AI is going and a point of view worth hearing.
• Toronto-based.

Responsibilities

• Build internal playbooks and frameworks for evaluating AI readiness and AI risk in target companies.
• Serve as a trusted advisor to Portfolio Company founders and leadership teams on their data and AI strategy, in a value creation advisory function.
• Help portfolio companies identify where AI and data create the highest-leverage opportunities: operations, customer, product, or GTM.
• Connect Portfolio Companies to the right tools, talent, and frameworks, not prescribing solutions but helping leadership ask better questions and build better capabilities.
• Spot patterns across the portfolio and bring relevant insights, tools, or introductions from one company to another.
• Build and own the AI-assisted deal workflow, from earlier company tracking through to diligence and portfolio monitoring, using and extending the existing stack.
• Develop tools and processes that help the investment team move faster: smarter data room review, faster market mapping, better signal detection on companies earlier in their trajectory.
• Act as an analytical resource for the deal team, filling gaps and raising the floor on what the team can do with data in diligence and sourcing activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed