Managing Director/Principal, Head of AI Enablement for GIP

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.

Key Responsibilities

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.

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

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.

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.

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.

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.

Build proprietary-data advantage

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

• Coordinate use of BlackRock data, Aladdin, Preqin, and third-party market datasets.

• Partner with technology and data teams on permissions, taxonomy, metadata, retrieval, data quality, and secure knowledge-agent development.

Measure business impact

• Define KPIs for adoption, usage, cycle-time reduction, quality improvement, third-party spend reduction, and user satisfaction.

• Measure and report AI ROI, including cost allocation across GIP, BlackRock, Private Markets, teams, vendors, and use cases.

• Use impact data to inform funding, scaling, vendor rationalization, and training priorities.

Candidate Profile

Required Experience

• AI enablement, enterprise AI adoption, digital transformation, workflow automation, or business process redesign.

• Private markets, infrastructure investing, private equity, asset management, investment banking, consulting, or portfolio operations fluency.

• Leadership of cross-functional transformation programs involving senior business stakeholders, technology teams, vendors, legal, compliance, cybersecurity, and data owners.

• Experience deploying AI tools into real business workflows, not merely advising on AI strategy.

• Ability to manage pilots, vendors, adoption programs, governance models, and value tracking.

Preferred Backgrounds

• AI / digital transformation role at a private equity, infrastructure, private credit, or asset management platform.

• Consulting experience implementing AI programs for financial sponsors or asset managers.

• Innovation, data, technology, or business transformation role inside a large financial institution.

• Private markets technology company focused on diligence, portfolio monitoring, financial modeling, document intelligence, or knowledge management.

Technical Fluency

• Generative AI platforms, enterprise AI tools, agents, prompting, retrieval-augmented generation, and knowledge agents.

• AI-enabled document review, structured extraction, research automation, Excel / PowerPoint workflows, and investment memo support.

• Data governance, permissions, confidential information handling, model limitations, hallucination risk, human review, and auditability.

• Vendor evaluation, tool standardization, procurement, cybersecurity, and responsible AI controls.

Success Measures

• Increased active usage and proficiency across approved AI tools.

• Deployment of repeatable AI workflows in underwriting, capital formation and fund operations.

• Measurable time savings in diligence, memo preparation, modeling, DDQs, legal review, reporting, and research.

• Reduced third-party spend in legal, diligence, market, tax, and accounting workflows.

• Reduced tool proliferation and clearer standards for which tools should be used in which workflows.

• Progress organizing proprietary GIP data for knowledge agents, analytics, and decision support.

• Clear governance, permissions, risk controls, and human-review standards.

• Effective integration with BlackRock AI resources.

For New York, NY Only the salary range for this position is USD$300,000.00 - USD$387,500.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.