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Chief Data Analytics Jobs (NOW HIRING)

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 ...

Chief Data Architect

Mclean, VA

$64.50 - $83/hr

The Chief Data Architect leads the design and implementation of enterprise data architecture and ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

Chief Data Architect

Bethesda, MD ยท On-site

$68 - $87.50/hr

They are seeking a Chief Data Architect to develop enterprise data architectures, ensure data ... data analytics, machine learning, and cloud-based data storage. โ€ข Experience with how to ...

Chief Data Architect

Mclean, VA ยท On-site

$64.50 - $83/hr

Overview The Chief Data Architect leads the design and implementation of enterprise data ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

Chief Data Architect

Bethesda, MD ยท On-site

$68 - $87.50/hr

They are seeking a Chief Data Architect to develop enterprise data architectures and ensure data ... data analytics, machine learning, and cloud-based data storage. โ€ข Experience with how to ...

The State of Nebraska is seeking a Chief Data Officer to manage and secure enterprise data systems ... data analysis, or enterprise data management. โ€ข Hands-on experience with Microsoft Power BI ...

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 ...

Overview Reporting to the AvePoint CFO, the Chief Data and Analytics Officeris responsible for defining and executing AvePoint's enterprise data strategy, turning trusted, unified data into a ...

Position Summary: The Chief Data Officer will define and execute the firm's enterprise data ... Leadership: building and developing high-performing data and analytics teams * Influence ...

Chief Data Architect

Mclean, VA ยท On-site

$150 - $200/hr

Overview The Chief Data Architect leads the design and implementation of enterprise data ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

Position Summary: The Chief Data Officer will define and execute the firm's enterprise data ... Leadership: building and developing high-performing data and analytics teams * Influence ...

Showing results 21-40

Chief Data Analytics information

See salary details

$33K

$124.4K

$200.5K

How much do chief data analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for chief data analytics in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

What does a chief data analytics do?

A Chief Data Analytics Officer (CDAO) is responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision making. They lead teams that collect, analyze, and interpret data to support business goals and drive innovation. The CDAO ensures that data governance, quality, and privacy standards are met, while also promoting a data-centric culture across the company. Their work helps organizations leverage data assets to gain competitive advantage and improve performance.

How does a chief data analytics typically collaborate with other departments to drive data-driven decision making?

As a Chief Data Analytics professional, you'll work closely with leaders from departments such as marketing, finance, operations, and IT to identify key business challenges and opportunities where data can provide actionable insights. Regular cross-functional meetings, workshops, and data strategy sessions are common to ensure alignment on goals and data priorities. You'll also guide teams on best practices for data collection, analysis, and interpretation, fostering a culture of data-driven decision making throughout the organization. Building strong relationships and maintaining clear communication with stakeholders is essential to drive successful analytics initiatives and support organizational growth.

What are the key skills and qualifications needed to thrive as a chief data analytics, and why are they important?

To thrive as a Chief Data Analytics, you need advanced expertise in data science, statistical analysis, and business intelligence, often supported by a master's or doctoral degree in a quantitative field. Familiarity with analytics platforms (such as Tableau, Power BI), big data tools (like Hadoop, Spark), and programming languages (Python, R), as well as certifications in data analytics or management, are typically required. Strategic thinking, strong leadership, and effective communication skills are essential to bridge the gap between technical teams and business stakeholders. These competencies are crucial for driving data-driven decision-making, aligning analytics initiatives with organizational goals, and delivering measurable business value.

What is the difference between Chief Data Analytics vs Data Analyst?

AspectChief Data AnalyticsData Analyst
CredentialsAdvanced degrees (Master's, PhD), certifications in data management and analyticsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership, overseeing analytics teams, executive collaborationData analysis, reporting, and visualization tasks, often under supervision
Employer & Industry UsageUsed in large organizations, tech firms, finance, healthcareCommon across various industries, including retail, marketing, finance

Chief Data Analytics focuses on strategic leadership, managing analytics teams, and aligning data initiatives with business goals. Data Analysts perform hands-on data analysis, reporting, and visualization. Both roles require strong analytical skills, but the Chief Data Analytics role involves higher-level decision-making and leadership responsibilities.

More about Chief Data Analytics jobs

What cities are hiring for Chief Data Analytics jobs?

Cities with the most Chief Data Analytics job openings:

What states have the most Chief Data Analytics jobs?

States with the most job openings for Chief Data Analytics jobs include:

Infographic showing various Chief Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.

Chief Data and Analytics Officer

Socket.dev

Manhattan, NY โ€ข On-site

$250 - $300/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

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. AvePointโ€™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 500โ„ข 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 AvePointโ€™s enterprise data strategy, turning trusted, unified data into a competitive advantage. This leader will modernize the companyโ€™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 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.
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.
  • Strong preference given to candidates who possess:
  • Product-led growth business model experience
  • AI/ML data platform experience
  • Customer analytics and digital product telemetry expertise
  • Experience leading enterprise transformation initiatives.
Benefits we offer:
  • Competitive market-based compensation (salary + commission)
  • Career progression and internal mobility opportunities across our global footprint in North America, EMEA, and APAC
  • Unlimited PTO

The anticipated base salary range for this position is $250,000 - $300,000. In addition, this role is eligible for a performance bonus, equity awards, and a comprehensive benefits package. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs).

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

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