Description
Large-Scale Program Architecture: Structure and execute multi-stream, high-budget technical transformations. Apply formal consulting frameworks to map complex workflows, quantify ROI, and drive change management across global business units. Stakeholder Engagement: Act as a technical thought leader, influencing C-suite decision-making through data-driven insights and executive storytelling. Business Function Embedding: Work directly alongside business functions to deeply understand their workflows and pain points. Financial & Operational Rigor: Manage program budgets, compute resource allocations, and business case modeling with rigor and precision. Technical Troubleshooting: Drive complex technical blockers and issues during deployment, acting as a liaison between business function needs and the product engineering teams
Minimum Qualifications
6+ years of experience in technical program management and delivery. Exceptional ability to decompose highly ambiguous, unstructured problems. Strong analysis, problem-solving, and troubleshooting skills. Experience as a technical thought leader, influencing leadership decision-making through data-driven insights and executive storytelling. Attention to detail and the ability to master new applications and technologies quickly. Ability to thrive in a collaborative and fast-paced environment, both within your team and cross-functionally. Hands-on exposure to GenAI capabilities and concepts
Preferred Qualifications
Experience at a top-tier management consulting firm (MBB, Big 4) or investment bank. Experience handling technical programs with regulatory impacts Experience building solutions using GenAI, with a strong understanding of LLM application architecture, vector databases, Retrieval-Augmented Generation (RAG), and evaluation frameworks. High proficiency in Python and SQL, with experience building functional applications using AI orchestration libraries (e.g., LangGraph, CrewAI, AutoGen) and integrating enterprise APIs. especially in support of a regulatory environment MBA preferred BS/MS in Computer Science, Software Engineering, or equivalent.
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