Job Overview
Location
Atlanta; Boston; Charlotte; Chicago; Dallas; Los Angeles; New York; San Francisco
Job Type
Full-time
Category
Data Science
Date Posted
June 20, 2026
Full Job Description
đź“‹ Description
- • Monitor AI-driven workflows in production to detect abnormal behavior, trust issues, and degraded outputs in finance-oriented environments.
- • Review signals related to output quality, fallback usage, and low-confidence patterns to assess system reliability and safety.
- • Escalate incidents that impact live user trust, business quality, or finance-sensitive outcomes to appropriate stakeholders.
- • Track adoption rates, usage frequency, and tool traction to measure the effectiveness of AI-enabled workflows.
- • Investigate output-quality incidents, orchestration failures, and prompt or workflow regressions to determine root causes.
- • Distinguish between true software defects and issues stemming from model behavior, data quality, or process inefficiencies.
- • Collaborate with Engineering, QA, and business teams to resolve judgment-heavy incidents requiring cross-functional alignment.
- • Support human-review patterns, fallback routes, and safe-operating responses for AI workflows in production.
- • Define and apply production review practices specifically for higher-risk workflows involving financial data or decision-making.
- • Document evidence and recurring issue patterns to ensure repeatability in incident response and inform release decisions.
- • Manage vendor-deployed AI solutions with the same rigor as internally built workflows, including monitoring SLAs, update cycles, and incident trends.
- • Identify recurring operational issues and recommend improvements to monitoring systems and quality feedback loops.
- • Feed production learnings back into QA, Product, and Engineering teams to drive iterative enhancements.
- • Contribute structured, reportable data to the measurement platform, including performance metrics, incident patterns, and adoption signals for portfolio-level visibility.
- • Act as product owner for AI usage and adoption dashboards, ensuring accurate and actionable reporting for leadership.
- • Maintain strong written communication and documentation discipline across all operational activities.
- • Work in a hybrid model with flexibility to work remotely up to two days per week, based in one of Accordion’s U.S. offices.
- • Operate in a fast-paced, entrepreneurial environment supporting private equity clients and the office of the CFO.
- • Balance detailed operational execution with broader strategic visibility across multiple complex workstreams.
🎯 Requirements
- • 4+ years experience in production support, AI operations, business process ops, analytics, or QA
- • Python proficiency required
- • Experience utilizing APIs
- • Strong analytical skills evaluating nuanced workflow/output issues with focus on safe operations
- • High attention to detail; proven experience spotting subtle trust or quality issues
- • Strong written communication and documentation discipline
🏖️ Benefits
- • Hybrid work model with flexibility to work remotely up to two days per week
- • Opportunity to work alongside 1,600+ finance and technology experts in a collaborative environment
- • Exposure to premier private equity firms and finance-oriented AI workflows
- • Role in a high-growth, entrepreneurial firm with global presence and 11 U.S. offices
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Accordion Partners, LLC
Accordion Partners is a private equity-focused financial consulting firm providing portfolio company value creation services. It delivers interim management, financial planning & analysis, operational improvement, and transaction support to middle-market PE-backed businesses across North America. Founded by ex-Bain and Deloitte professionals, the company embeds senior-level talent within client organizations to accelerate EBITDA growth, optimize cash flow, and prepare assets for exit. Services span strategic finance, accounting, treasury, pricing, supply chain, and M&A integration, delivered through a flexible staffing model that scales with deal timelines and investment horizons.
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