Transformation Associate - AI Edge Program

Apollo Management Holdings•New York City, NY

2d•$110,000 - $140,000

About The Position

Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. Apollo Global Management is seeking a high-potential individual to join as an AI Edge Associate on the Transformation team. The Edge program is designed to incubate AI-fluent, transformation-capable talent who can partner with business and engineering teams to drive mission-critical AI initiatives across the firm. The AI Edge Associate will gain direct exposure to senior leaders, participate in a variety of projects across high-impact projects, and help evolve Apollo’s operating model through the adoption of advanced AI capabilities. The Transformation team partners cross-functionally to enable the firm to successfully execute key strategic initiatives, to problem solve for complex objectives, and to provide expertise and resourcing for program/project management and process assessment/improvement. This individual will be responsible for executing key strategic and operational AI initiatives across the firm and will champion process improvement practices and promote a culture of continuous improvement and performance measurement.

Requirements

3–6+ years of experience in data/AI product management, engineering, and/or transformation-focused roles in industry or consulting
Bachelor’s degree from an accredited institution
Strong AI/ML fluency with experience in applied machine learning, data engineering, or automation.
Proven ability to work directly with senior stakeholders, especially in financial services or capital markets, to define requirements and deliver solutions
Exceptional analytical, quantitative, and problem-solving skills
Experience leading cross-functional projects in fast-paced environments with competing priorities
Superior presentation and communication skills, with the ability to distill complex technical concepts into business-relevant insights

Nice To Haves

Advanced degree (MBA, MS in data science/AI)
Familiarity with Python, SQL, and modern AI/ML frameworks
Experience in financial services, alternative asset management, or enterprise-scale transformation programs
Exposure to Agile delivery methods and DevOps principles

Responsibilities

Lead AI-driven initiatives: Support the redesign and reimagination of end-to-end processes using emerging technologies, including but not limited to AI, ML, NLP, automation, etc.
Value creation: Define business case and benefit realization impact with respect to various transformation initiatives
Solution design: Partner with senior investment professionals and business leaders to translate complex business challenges into AI-enabled solutions that drive measurable impact.
Partnership: Collaborate across engineering, product, business, and strategy teams to design and deliver scalable AI products, from proof-of-concept through production deployment.
Change leadership: Serve as a connector between technical experts and business stakeholders, ensuring AI solutions are practical, adoptable, and aligned with firm priorities.
Executive communication: Prepare and deliver clear, concise presentations for senior stakeholders, highlighting progress, outcomes, and business implications of AI initiatives.
Knowledge development: Document best practices, contribute to playbooks, and help scale AI adoption across Apollo’s businesses.

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