Chief Data Officer: AI-Driven Data Strategy & Governance

AvePoint; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Salary + commission

Career progression

Unlimited PTO

Job summary

AvePoint, the Microsoft Cloud expert, seeks a Chief Data Officer to define and execute enterprise data strategy, governance, and a scalable data foundation to support product-led growth and AI initiatives.

Leading cross-functional teams across Product, Engineering, GTM, Finance, and IT, you will unify disparate data sources into a trusted data ecosystem enabling self-service analytics and data-driven decision making across the business.

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.
• Experience implementing cloud data platforms such as Azure, AWS, Snowflake, Databricks, Microsoft Fabric, or equivalent.
• Demonstrated success building enterprise data governance programs.
• Experience partnering closely with Product organizations and using product analytics to drive growth.
• Strong executive communication and stakeholder management skills.

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 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.
• Lead the data foundation for AI, advanced analytics, automation, copilots, and agentic experiences by ensuring governed, traceable, secure, high-quality, and context-rich data is available across the enterprise.
• Build, lead, and develop a high-performing team while fostering strong cross-functional partnerships across Product, Engineering, GTM, Finance, People, Security, Compliance, and IT.
• Serve as the executive sponsor for enterprise data initiatives, managing strategic investments, vendor relationships, and communication with executive leadership and the Board.

Skills

Data leadership

Enterprise data governance

Cloud data platforms

Stakeholder management

Executive communication

Product analytics collaboration

Tools

Azure

AWS

Snowflake

Databricks

Microsoft Fabric

Job description

AvePoint, the Microsoft Cloud expert, seeks a Chief Data Officer to define and execute enterprise data strategy, governance, and a scalable data foundation to support product-led growth and AI initiatives.

Leading cross-functional teams across Product, Engineering, GTM, Finance, and IT, you will unify disparate data sources into a trusted data ecosystem enabling self-service analytics and data-driven decision making across the business.