Assistant Vice President (AI Enabled Business Transformation)

Golub Capital•Chicago, NY

4d•Hybrid

About The Position

The Technology Solutions (“TS”) Department is responsible for designing and delivering state of the art technology solutions that are designed to create efficiency, mitigate risk and grow revenue for the Firm. Technology Solutions is also responsible for defining, managing and executing a robust Cyber Security program following the NIST Cyber Security Framework. Technology Solutions focuses on technical excellence through innovative application designs, robust data integration and analytics, high availability infrastructure and gold level service for our key stakeholders with information security embedded throughout. Critical functions within Technology Solutions include Project Management, Vendor Management, Business Analysis, Enterprise Data Governance and Stewardship, Application Development and 3rd Party Integration, Strategic and Secure Infrastructure and Operations. The Technology Solutions Department collaborates closely with Firm leadership and business unit heads to develop plans in line with business objectives. We are seeking an Assistant Vice President to fundamentally reimagine how work gets done across the Firm. The role will partner directly with business stakeholders to assess end-to-end functions (aligned to business domains such as Sponsor Finance or other investment teams, Investor Partners Group, Back Office or other core areas of the Firm), challenge traditional operating assumptions and redesign workflows, decision-making processes and operating models through the practical application of artificial intelligence. This is not a software engineering role; rather, this position is focused on AI-native business process transformation, helping business teams rethink how work should be performed when modern AI capabilities such as agentic systems, enterprise context layers, knowledge-grounding frameworks and human-in-the-loop workflows are available as core design tools. The ideal candidate combines expertise in business process transformation, operating model design and organizational change with deep understanding of modern AI capabilities and their practical application to deliver tangible business outcomes.

Requirements

Bachelor’s degree in computer science, business or related field is required
5+ years of experience in software delivery, product management, technology consulting or business process transformation, with demonstrated experience applying AI concepts and patterns to real-world business challenges, with sufficient technical depth to assess feasibility, tradeoffs and determine appropriate solution approaches
Deep understanding of modern AI capabilities, architectures and design patterns, including AI agents, enterprise context layers, Model Context Protocol (MCP), context engineering, harness engineering, knowledge grounding strategies, model evaluation frameworks, tool integration patterns, reasoning models and human-in-the-loop systems, with the ability to apply these concepts to redesign business processes and operating models
Familiarity with AI orchestration frameworks, multi-agent systems, Retrieval Augmented Generation (RAG) and enterprise search / vector databases is highly desirable
Demonstrated experience leading business process re-engineering, operating model redesign, management consulting or strategic transformation initiatives in partnership with business stakeholders
Ability to apply AI-first design principles to business challenges, reimagining workflows and operating models based on what becomes possible through emerging AI capabilities rather than simply optimizing existing processes
Experience in strategic planning and roadmap development for AI initiatives
Experience facilitating workshops, discovery sessions, current-state assessments and future-state design engagements with business and executive stakeholders
Deep understanding of how data is processed, including data ingestion, storage and retrieval using AI services, particularly Azure OpenAI, Azure AI Foundry, Fabric IQ and RAG architecture
Ability to estimate and establish cost baselines and financial monitoring (ROI / TCO) that quantify the expected business value of AI-enabled transformation initiatives
Experience developing business cases, forecasting value realization and measuring operational impact from technology-enabled transformation initiatives
Proficiency with software development principles; Python familiarity a plus
Demonstrated ability to lead change, drive adoption of new ways of working and influence stakeholders through organizational and technical transformation
Strong analytical, problem-solving, communication and collaboration skills, with the ability to partner effectively across business and technical teams
Client-focused, self-motivated professional who thrives in fast-paced, complex environments and effectively prioritizes multiple competing demands
Enthusiastic about working in office and creating a Gold Standard hybrid work culture

Nice To Haves

Familiarity with AI orchestration frameworks, multi-agent systems, Retrieval Augmented Generation (RAG) and enterprise search / vector databases is highly desirable

Responsibilities

Partnering with business leaders to identify, prioritize and roadmap AI transformation opportunities that enhance operational efficiency, decision-making and business outcomes
Analyzing business processes, workflows decision pathways and knowledge flows to design AI-native operating models that automate, augment and reimagine how work gets done across teams and business functions
Conducting current-state and future-state assessments to identify opportunities for transformational change, challenging existing assumptions and redesigning business processes using AI-first design principles
Partnering with AI engineering, architecture, data and delivery teams to translate future-state business process designs into executable roadmaps and enterprise AI solutions
Developing scalable AI transformation frameworks, reusable operating patterns and best practices that enable repeatable business transformation across the Firm
Developing transformation business cases, value realization frameworks and success metrics to ensure AI initiatives deliver measurable business outcomes.
Ensuring AI solutions are secure, compliant and aligned with enterprise architecture, governance and data readiness standards
Partnering with organizational change management to enact user adoption and value realization efforts to maximize the impact of AI-enabled business transformation
Evaluating emerging AI technologies and industry trends, translating new capabilities into practical business applications and measurable outcomes
Fostering a culture of AI innovation by leading communities of practice, mentoring team members and advancing enterprise AI capability and knowledge