Chief Data and Analytics Officer
Listed on 2026-08-15
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IT/Tech
Data Engineering, Information Security & Data Protection, Cloud Computing: Infrastructure & Operations, M365, SharePoint & Power Platform
AvePoint is the unifying Trust Layer for AI. AvePoint enables more than 28,000 organizations and 6,000 channel partners to protect, secure, and govern their entire AI estate across data, infrastructure, AI and agents for Microsoft, Google, Salesforce, and other leading cloud environments - so that enterprises can deploy AI with confidence and scale innovation without scaling risk. To learn more, visit .
The Company:
AvePoint is the Microsoft Cloud expert. Over 15,000 companies and 5 million cloud users trust AvePoint to accelerate the migration, management, and protection of their Office 365 and SharePoint data. AvePoint's integrated cloud, hybrid, and on-premises software solutions are enhanced by 24/7 support and award-winning services. Organizations across six continents and all industries rely on AvePoint to ease transition to the Microsoft Cloud, increase IT administrator productivity, and satisfy governance and compliance objectives.
A three-time Microsoft Partner of the Year, AvePoint has been named to the Inc. 500|5000 six times and the Deloitte Technology Fast 500™ five times. AvePoint is a Microsoft Global ISV Partner, a Microsoft Gold Partner in Application Development, Cloud Platform, Cloud Productivity, and Collaboration and Content, and a US Government GSA provider via strategic partnerships. Founded in 2001, AvePoint is privately held and headquartered in Jersey City, NJ.
Overview
Reporting to the AvePoint CFO, the Chief Data and Analytics Officer is responsible for defining and executing AvePoint’s enterprise data strategy, turning trusted, unified data into a competitive advantage. This leader will modernize the company’s data architecture, establish enterprise governance, and build a scalable data foundation that supports product-led growth, customer intelligence, AI initiatives, operational excellence, and executive decision making.
The CDO will serve as the enterprise executive responsible for transforming AvePoint's data into a governed, reusable, AI-ready business asset. The role owns enterprise data strategy, governance, data quality, analytics enablement, data products, and product telemetry standards, while establishing the operating model required to deliver trusted, consistent decision-making across the business.
As AvePoint continues evolving into a product-led organization, the CDO will unify disparate data sources into a trusted enterprise data ecosystem that enables self-service analytics, customer insights, product intelligence, and data-driven innovation. Working across Product, Engineering, GTM, Customer Success, Finance, People, IT, Security, and Compliance, this leader will ensure data functions as a strategic enterprise capability rather than a collection of disconnected systems.
The successful candidate combines strategic vision with deep technical expertise in modern data platforms and has a track record of building a culture where decisions are consistently informed by trusted, accessible data.
Key Responsibilities
- Define and execute AvePoint's enterprise data strategy, aligning data investments with business growth, product-led growth, AI, and customer-centric decision-making.
- Define and lead AvePoint's enterprise data operating model, establishing clear accountability across centralized data capabilities, embedded domain analytics, Business Intelligence, Data Engineering, data owners, data stewards, and executive governance forums.
- Lead the modernization of AvePoint's data architecture, platforms, and ecosystem to create a scalable, reliable, governed, and accessible enterprise data foundation.
- Establish enterprise data product management practices, including domain data products, certified semantic models, reusable metrics, documented lineage, business glossaries, data catalogs, quality standards, and lifecycle ownership.
- Build and operationalize the data capabilities required to measure product adoption, customer health, retention, expansion, monetization, and overall customer value.
- Partner with Product and Engineering to define product telemetry standards, event schemas, taxonomy, experimentation datasets, usage metrics, and product commercial data…
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