LOCATIONS Director, AI Design & Data & Analytics

Position: 7+ LOCATIONS Director, AI Design & Experience Data & Analytics
We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,400+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 10 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

About the Role and You

We're looking for a designer who understands that AI changes everything about how humans interact with software, and especially is obsessed with getting those interactions right. You won't be adding chatbots to existing interfaces. You'll be reimagining what's possible when intelligence is embedded into every touchpoint.

This role sits at the intersection of design, AI, advanced data analytics, and product strategy. You'll work hand-in-hand with our Accordion Intelligence Lab (a team of expert software engineers building the AI capabilities that power our solutions) translating complex model outputs into experiences that feel intuitive, trustworthy, and genuinely useful to finance professionals who don't have time for friction.

What You'll Do

You'll define the design language for AI-native experiences across Accordion's solution portfolio. This means moving beyond traditional UI patterns to create new interaction paradigms: how users prompt and guide AI systems, how they interpret and validate AI-generated insights, how they maintain appropriate oversight without drowning in alerts, and how they build trust in outputs they can't fully verify themselves.

Your day-to-day will involve deep collaboration with engineers building LLM-powered features, RAG systems, and agentic workflows. You'll prototype rapidly, test with real users, and iterate based on what you learn about how finance professionals actually want to work with AI. You'll establish design principles and patterns that scale across products while remaining flexible enough to evolve as AI capabilities advance.

You'll own the end-to-end experience strategy for AI interactions: from first-time onboarding that builds user confidence, to progressive disclosure of AI capabilities, to graceful handling of uncertainty and errors. You'll think deeply about when AI should act autonomously versus when it should ask for guidance, and design the interfaces that make those handoffs seamless.

Travel to client sites as needed.

What We're Looking For

The AI-Native Mindset:
You've been designing for AI long enough to have strong opinions about what works and what doesn't. You understand the unique challenges of AI interfaces: uncertainty, latency, explainability, trust calibration — and have developed approaches to address them. You're thinking about copilots, agents, and multimodal interactions, not just chat windows.
The Technical Fluency:
You can have substantive conversations with ML engineers about model capabilities and limitations.…