Enterprise AI Program Manager, AVP Enterprise Technology

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at

Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies. BXTI is fast paced and entrepreneurial – our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one.

We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone, and we are critical to the firm maintaining its competitive edge.

• Identify, manage, and execute against the Enterprise AI use case pipeline, evaluating requests based on business impact, feasibility, scalability, risk, and alignment to firmwide AI priorities.
• Lead priority AI pilots with business and technology partners, defining success criteria, tracking outcomes, and driving recommendations on scale, iteration, or sunset.
• Translate successful AI use cases into scalable playbooks, workflows, and enablement materials that can be reused across teams and functions.
• Synthesize adoption, usage, feedback, and business impact data into executive-ready insights, identifying trends, risks, blockers, and opportunities to improve AI enablement, product adoption, and enterprise value realization.
• Partner with product, platform, governance, and vendor teams to resolve issues and improve the AI delivery model, translating business feedback into actionable requirements, tracking follow-through, and ensuring recurring themes inform roadmap and process improvements.
• Support the evolution of Blackstone’s enterprise AI operating model, helping refine intake, prioritization, governance, measurement, and enablement processes as AI capabilities grow across the firm.

• 5+ years of experience in consulting, strategy, product operations, program management, technology, or a related field, with demonstrated ownership of cross-functional initiatives.
• Strong execution and problem-solving skills, with experience structuring ambiguity, manage competing priorities, and drive work streams from strategy to implementation.
• Excellent analytical and communication skills, including experience synthesizing data, feedback, and business context into executive-ready recommendations.
• Proven experience to influence across teams, build trusted relationships, and drive alignment with business, technology, governance, and vendor stakeholders.
• Experience building, implementing, or managing enterprise AI, automation, analytics, or workflow solutions; experience with Power Platform/Copilot Studio is preferred.
• Bachelor’s degree in Information Technology, Computer Science, Business, Finance, or a related field preferred.
• The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position.
• Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range: $135,000 - $170,000. Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.

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