Hiring: Chief Data and Analytics Officer Company: AvePoint Location: Chicago, IL Job Posted Time: 2026-09-03 11:14:48 Employment Type: Hybrid Target Skills & Keywords : AWS, Azure, Databricks, ELT, Embedded Systems, Product Management, Snowflake, Stakeholder Management About the job Experience: •Customer analytics and digital product telemetry expertise Required Skills: •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 contracts that connect adoption, retention, expansion, customer value, and product roadmap decisions. •Partner with ELT to establish enterprise-wide data priorities, governance, quality, privacy, security, stewardship, and KPI standards that enable trusted and consistent business decision-making. •Deliver trusted self-service analytics, executive reporting, business intelligence, and data product capabilities that improve data-driven decision-making across the organization. Qualifications: •15+ years of progressive leadership experience in data, analytics, engineering, or information management. •7+ years leading enterprise data organizations. •Proven experience modernizing enterprise data architecture. •Demonstrated success building enterprise data governance programs. •Strong executive communication and stakeholder management skills. •Product-led growth business model experience Compensation: •$250,000 - $300,000 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!