Senior Consultant CPM (Forward Deployed Engineer

Senior Consultant CPM (Forward Deployed Engineer)

Accordion is 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 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 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.

Accordion's CFO Technology Practice effectively and efficiently delivers the digital services and solutions to support organizational strategic initiatives.

Our CFO Technology experts work cross-functionally—alongside practitioners from all corners of Accordion—to arm CFOs with the appropriate digital solutions needed to implement the team's business process recommendations and to capitalize on value creation opportunities. From ERP, CPM, Analytics, Data Integration, RPA, and beyond, CFO Tech provides finance leaders with a single, objective partner capable of delivering from strategy to execution.

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.

Accordion is seeking a Forward Deployed Engineer (FDE) to embed directly with client finance teams and build AI-powered agents and automated workflows that transform how organizations interact with their Enterprise Performance Management (EPM) and Corporate Performance Management (CPM) systems. Rather than implementing the platforms themselves, this role focuses on creating intelligent solutions—such as FP&A variance analysis agents, close reporting agents, forecasting co-pilots, and automated data reconciliation workflows—that sit on top of existing financial systems and dramatically accelerate the speed and quality of financial decision-making.

The FDE will work at the intersection of applied AI, financial domain expertise, and client delivery—understanding the nuances of each client's financial architecture, identifying high-value automation opportunities, and shipping production-grade AI agents that become embedded in the client's day-to-day finance operations.

Bachelor's degree in Computer Science, Engineering, Data Science, Finance, or a related field.

3+ years of software engineering experience, with at least 1 year focused on building applications powered by large language models, AI agents, or intelligent automation.

Strong proficiency in Python and experience with LLM orchestration frameworks (e.g., Lang Chain, Lang Graph, Anthropic API, OpenAI API) and related tooling (vector databases, embedding models, prompt engineering).

Working knowledge of financial processes including budgeting, forecasting, financial consolidation, close management, variance analysis, and management reporting.

Solid SQL skills and experience integrating with APIs, data warehouses, ERPs, and financial systems to source and transform data for AI workflows.

Excellent communication skills with the ability to work directly with CFOs, controllers, and FP&A leaders—translating their needs into technical solutions and demonstrating value through rapid iteration.

Willingness to travel to client sites as needed (up to 50–80%, depending on engagement).

Understanding of financial planning and reporting systems (Oracle EPM Cloud, One Stream, Anaplan, Planful, Workday Adaptive Planning)

Experience in consulting or professional services.

Familiarity with ERP systems (Net Suite, SAP, Oracle EBS, Microsoft Dynamics) and how financial data flows from transactional systems into EPM/CPM platforms.

Experience building production AI systems with appropriate guardrails for regulated or audit-sensitive environments, including explainability, traceability,…