AI System Readiness Vice President

About the role

The Vice President of AI System Readiness plays a pivotal role in preparing Accordion’s enterprise environments, data, and processes for AI enablement. This role bridges the gap between technology infrastructure, data architecture, and AI activation—ensuring the foundation is set for intelligent automation, advanced analytics, and generative AI capabilities.

Responsibilities

• Define and lead strategy to make enterprise systems and data AI-ready
• Establish technical standards for data accessibility, contextualization, and AI interoperability
• Conduct readiness assessments across infrastructure, data, and process domains
• Partner with IT leadership to prepare cloud environments for AI workloads
• Work with BI, Data, and Security teams to ensure data is unified, accessible, and well-governed
• Develop frameworks for metadata tagging, indexing, and contextualization
• Promote data consistency across enterprise systems (DealCloud, NetSuite, ClickUp)
• Support compliance and data privacy standards aligned with AI governance
• Ensure infrastructure and APIs support high-performance AI workloads
• Define best practices for securely integrating AI APIs and external tools
• Own AI Interaction architecture (semantic tool router, MCP/API wrapper, multi-channel layer, etc.)
• Define and track KPIs that measure environment readiness and AI maturity
• Own AI cost modeling: compute costs, API volumes, data pipeline expenses, infrastructure tradeoffs
• Manage ongoing delivery of the measurement platform (dashboards, data pipes, reporting framework) supporting portfolio-level KPI tracking and AI usage/adoption
• Collaborate with Security on compliance and governance

Requirements

• 6–10 years experience in enterprise IT, data architecture, or technology enablement
• Strong understanding of data modeling, governance, and cloud infrastructure (Azure, AWS, or GCP)
• Experience preparing systems/data for AI: embeddings, knowledge graphs, contextual retrieval
• Hands-on experience with Python and SQL
• Familiarity with enterprise AI tools (Claude, Glean, ChatGPT, CoPilot, Zoom AI, etc.)
• Experience delivering monitoring and measure platforms
• Knowledge of metadata management, APIs, and interoperability standards
• Proven cross-functional collaboration and communication skills

Qualifications

• Bachelor's degree in CS, Information Systems, or related technical field

Skills

• Strategic thinking
• Technical knowledge of data architecture and enterprise environments
• Leadership and management skills
• Collaboration and communication skills
• Problem-solving and analytical skills

Benefits

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Pay

The annual salary for this role ranges from: $155,000 to $190,000 + benefits + bonus.

Schedule

This position is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

Company Overview

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 1,600+ 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.

Equal Opportunity Employer

We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.