About this role

Overview

Global Infrastructure Partners is seeking a Head of AI Enablement to lead the practical deployment of AI across GIP’s investment, capital formation and fund operations.

The role will focus on prioritizing high-impact use cases, standardizing tools, embedding AI into repeatable workflows, coordinating with BlackRock capabilities, managing pilots and vendors, improving adoption, driving training and measuring business impact as well as cost.  GIP has already established a meaningful foundation; the role’s mandate is to move the organization from experimentation to scaled, governed, high-impact usage.

Strategic Mandate

• Increase AI usage, proficiency, and consistency across GIP through training, support and standardization
• Prioritize use cases with outsized impact across investment underwriting, capital formation and fund operations.
• Interface with model and application layer tool providers
• Create competitive advantage from proprietary data, including GIP historical materials, portfolio company data, BlackRock data, Preqin, Aladdin, and third-party market datasets.
• Standardize the AI tool environment, reduce tool proliferation, manage spend, and focus resources on the highest-value capabilities.
• Define the resourcing model across BlackRock, GIP / Private Markets, and third parties, with clear ownership, cost allocation, and ROI measurement.

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Key Responsibilities

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Lead the GIP AI Program Office

• Establish the AI Program Office mandate, cadence, roadmap, reporting model, and decision rights.
• Maintain a single view of AI initiatives, pilots, tools, vendors, owners, costs, risks, and outcomes.
• Provide regular reporting to the AI Executive Committee and GIP senior leadership.

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Build and execute the AI roadmap

• Prioritize and sequence AI initiatives across investment, capital formation, legal, finance, tax, accounting, IT, HR and fund operations.
• Convert use cases into project charters with business owners, data requirements, success metrics, governance controls, and delivery milestones.
• Scale successful pilots into repeatable, controlled production workflows.
• Track spend and token usage and justify ROI

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Drive high-impact private markets use cases

• Advance capabilities such as DDQ / RFP automation, custom research agents, IC decision-support agents, model and sensitivity agents, investment memo generation, and AI-enabled legal / diligence workflows.
• Embed AI into day-to-day workflows rather than treating tools as stand-alone productivity applications.
• Partner with business owners to capture efficiency, quality, and decision-support benefits.

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Partner with BlackRock AI Teams

• Serve as GIP’s primary business interface with PMG Tech, BlackRock Private Markets, Applied Innovation Office, AI Office, AI Labs, Aladdin, BTO, and relevant data teams.
• Adapt BlackRock’s hub-and-spoke AI model to private markets, keeping use-case ownership with investment and operating teams while leveraging centralized engineering and data-science capabilities.
• Advise on what should be resourced through BlackRock, what should be GIP-led, and where third-party support is required.

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Interface with third party tool providers

• Represent GIP in interactions with foundational model and application tool providers related to tool selection, trials, negotiations, customer support and product enhancements.

Advise Standardize tools and manage vendors in collaboration with BlackRock

• Maintain an inventory of approved, deployed, piloted, and rejected AI tools.
• Evaluate overlapping tools and recommend standardization across ChatGPT, Copilot, Claude, Perplexity, Rogo, BlueFlame, Harvey, ToltIQ, Hebbia, Salesforce / Agentforce, and other platforms.
• Manage pilots, vendor relationships, procurement, cybersecurity, compliance reviews, spend, and ROI tracking.

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Lead adoption, training, and change management

• Design role-based training for investment, capital formation, operations, legal, finance and fund operations teams.
• Scale the AI Champions group, run demos and office hours, and develop prompt libraries, workflow templates, and “when to use what” guidance.
• Raise baseline proficiency across GIP while building power-user capability in each function.

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Build proprietary-data advantage

• Help organize and structure GIP historical materials, including CIMs, memos, market studies, contracts, models and diligence materia…