AI Environment Readiness Vice President
Listed on 2026-02-08
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IT/Tech
AI Engineer, Data Security
Overview
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.
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.
Position OverviewThe Vice President of AI Environment Readiness plays a pivotal role in preparing Accordion’s enterprise environments, data, and processes for AI enablement. Reporting directly to the AI Enablement Lead, 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.
This leader will guide how structured and unstructured data is stored, accessed, and contextualized for AI use across tools such as Glean, ChatGPT, CoPilot, and Zoom AI. The VP will collaborate closely with Data, Infrastructure, Security, and BI teams to ensure enterprise systems are AI-ready—balancing innovation with governance and scalability. The ideal candidate has strong technical knowledge of data architecture and enterprise environments, combined with the strategic thinking required to translate AI readiness into measurable business impact.
This position can be based in any of our US office locations and is a hybrid role. This position is not eligible for immigration sponsorship.
What You’ll DoAI Environment Readiness Leadership- Define and lead the 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 to identify and close gaps
- Partner with IT leadership to prepare cloud environments and integrations for AI workloads such as embeddings, semantic search, and knowledge retrieval
- Work with BI, Data, and Security teams to ensure data is unified, accessible, and well-governed for AI use
- Develop frameworks for metadata tagging, indexing, and contextualization across structured and unstructured sources
- Promote data consistency across enterprise systems (e.g., Deal Cloud, Net Suite, Click Up) to enable cross-platform intelligence
- Support compliance and data privacy standards aligned with AI governance expectations
- Ensure that infrastructure and APIs can support high-performance AI and automation workloads
- Collaborate with Infrastructure and Application teams to connect systems used by AI platforms like Glean and Co Pilot
- Define best practices for securely integrating AI APIs and external tools into Accordion’s enterprise environment
- Collaborate with the AI Enablement Lead to align environment readiness with overall AI strategy
- Partner with the AI Application & Agent Development team to ensure environments are properly indexed and optimized for agent use
- Work closely with BI and Data teams to prepare datasets for model training, prompt engineering, and contextual retrieval
- Educate business teams on AI readiness principles and promote alignment across departments
- Define and track KPIs that measure environment readiness and AI enablement maturity
- Continuously enhance frameworks and standards as AI tools and best practices evolve
- Communicate progress and…
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