We are a large, enterprise-scale SaaS, AI-enabled data intelligence, cloud analytics platform, digital transformation, and decision science organization supporting customers, product teams, revenue functions, operations, finance, technology groups, and executive leadership across the United States. The company operates in a highly data-driven environment where analytics directly shape business strategy, customer outcomes, product innovation, revenue performance, operational efficiency, risk visibility, and long-term enterprise value.
This is not a traditional analytics leadership role focused only on reporting dashboards or business intelligence requests. Analytics is treated as a core enterprise capability that helps the company understand what is happening, why it is happening, what is likely to happen next, and which decisions will create the strongest business impact. The organization expects analytics leadership to move beyond historical reporting and build a mature decision intelligence function that connects data strategy, advanced analytics, AI, forecasting, experimentation, product insights, customer intelligence, and executive decision support.
The company is continuing to invest in cloud-based data platforms, AI-enabled analytics, machine learning models, enterprise business intelligence, predictive forecasting, customer lifecycle analytics, product usage intelligence, revenue analytics, operational performance measurement, self-service reporting, data governance, and stronger executive visibility. As the company scales, leadership is seeking a Chief Analytics Officer who can transform analytics into a trusted enterprise operating system for better strategy, faster decisions, and measurable performance improvement.
The Chief Analytics Officer will lead the company’s analytics vision, enterprise analytics strategy, business intelligence roadmap, advanced analytics programs, decision science capability, data storytelling standards, insight delivery model, and analytics talent development. This executive will partner closely with the CEO, Board, CIO, CTO, CDO, CFO, CRO, CMO, CPO, COO, Product, Engineering, Finance, Revenue, Marketing, Customer Success, Operations, Legal, Security, and business unit leaders to ensure analytics priorities are aligned with the company’s most important goals.
This role requires an executive who can operate with strategic influence, technical fluency, commercial judgment, and strong leadership discipline. The ideal candidate will understand how to build scalable analytics teams, modernize reporting systems, improve data trust, develop predictive models, guide AI-enabled decision-making, establish executive KPI frameworks, and help business leaders use analytics in practical ways.
The selected candidate will help define how the organization measures success, how leaders evaluate performance, how teams use data, and how insights become action. This is a high-impact executive opportunity for an analytics leader who wants to build a world-class analytics function inside a large technology-driven organization and directly influence growth, innovation, customer value, and enterprise performance.
• Lead the company’s enterprise analytics strategy across business intelligence, decision science, advanced analytics, predictive modeling, product analytics, customer analytics, revenue analytics, and operational insights.
• Establish a clear analytics roadmap that supports company strategy, executive decision-making, customer value, product growth, revenue performance, operational efficiency, and long-term scalability.
• Partner with the CEO, Board, and executive leadership team to define enterprise KPIs, business performance frameworks, analytics priorities, reporting standards, and decision-support routines.
• Build and lead high-performing analytics teams across BI, data visualization, advanced analytics, experimentation, forecasting, customer intelligence, product insights, and business performance analysis.
• Develop executive dashboards, board-level analytics, performance scorecards, forecasting models, business review materials, and insight narratives that guide leadership decisions.
• Partner with Data Engineering and Technology teams to improve data architecture, data pipelines, data quality, metric definitions, analytics platforms, semantic layers, and self-service reporting.
• Lead advanced analytics initiatives, including predictive modeling, segmentation, churn analysis, lifetime value modeling, pricing insights, demand forecasting, experimentation, and AI-enabled business recommendations.
• Partner with Product and Engineering teams to analyze product usage, feature adoption, customer behavior, platform performance, user journeys, and product-led growth opportunities.
• Partner with Revenue, Marketing, and Customer Success teams to improve pipeline intelligence, campaign performance, customer acquisition analysis, retention analytics, expansion insights, account health modeling, and revenue forecasting.
• Partner with Finance and Operations to strengthen cost analytics, margin analysis, workforce productivity reporting, operational performance measurement, resource planning, and efficiency improvement.
• Establish analytics governance practices, including metric ownership, reporting standards, documentation, quality controls, dashboard lifecycle management, and decision-ready data definitions.
• Drive adoption of self-service analytics by enabling business users with trusted datasets, clear dashboards, training, documentation, and practical analytical guidance.
• Evaluate and implement modern analytics tools, AI capabilities, reporting platforms, visualization systems, experimentation tools, and decision intelligence technologies.
• Present complex analytical findings to senior executives, Board stakeholders, business leaders, and cross-functional teams in a clear, practical, and action-oriented manner.
• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, Information Systems, or a related field required.
• Master’s degree, MBA, PhD, or advanced education in analytics, data science, statistics, business intelligence, economics, or technology strongly preferred.
• 15+ years of progressive experience in analytics leadership, business intelligence, data science, decision science, product analytics, revenue analytics, financial analytics, or enterprise performance management.
• 8+ years of senior leadership experience managing analytics teams, BI organizations, data science functions, decision intelligence programs, or enterprise reporting teams.
• Experience within enterprise SaaS, AI-enabled technology, cloud platforms, data intelligence, fintech, cybersecurity, healthcare technology, digital platforms, or large technology-driven environments strongly preferred.
• Proven success building enterprise analytics strategies, scaling analytics teams, improving data trust, creating executive KPI frameworks, and delivering measurable business insights.
• Strong understanding of modern data and analytics ecosystems, including cloud data warehouses, BI platforms, analytics engineering, semantic layers, metric governance, predictive modeling, and AI-enabled analytics.
• Experience with platforms and tools such as Snowflake, Databricks, BigQuery, Redshift, dbt, Looker, Tableau, Power BI, Sigma, Mode, Amplitude, Mixpanel, Pendo, Salesforce, HubSpot, Python, R, SQL, or similar technologies preferred.
• Strong knowledge of analytics methods, including forecasting, segmentation, experimentation, regression analysis, cohort analysis, funnel analysis, attribution modeling, customer lifetime value, churn modeling, and performance measurement.
• Experience working with CEOs, Boards, executive committees, Product, Engineering, Finance, Revenue, Marketing, Customer Success, Operations, Security, Legal, and business unit leaders.
• Strong ability to translate complex data into business insight, executive recommendations, and practical action plans.
• Excellent communication and presentation skills with the ability to influence senior stakeholders and build trust in analytics across the enterprise.
• Strategic analytics executive with the ability to connect data, business strategy, technology capability, customer behavior, and enterprise performance.
• Strong decision science mindset with the ability to help leaders move from reporting activity to making clearer, faster, and better business decisions.
• Technically fluent and comfortable working with modern data platforms, analytics tools, statistical methods, AI-enabled models, and enterprise reporting systems.
• Commercially aware with the ability to understand revenue growth, product adoption, customer retention, profitability, operational efficiency, and investment tradeoffs.
• Strong executive presence with the confidence to advise the CEO, Board, and senior leadership team on business performance, risk, opportunity, and strategic direction.
• Data governance-focused with strong discipline around metric definitions, data quality, reporting consistency, documentation, and analytical trust.
• Strong people leader who can build, mentor, and scale analytics teams while creating a culture of curiosity, precision, business partnership, and measurable impact.
• Clear storyteller who can turn complex analysis into simple narratives, meaningful recommendations, and decision-ready insights.
• Comfortable operating in ambiguity, especially when business questions are unclear, data is imperfect, or leaders need structure around complex decisions.
• High integrity and discretion when handling confidential business data, customer information, financial results, product insights, executive materials, and strategic plans.
The Chief Analytics Officer will provide strategic leadership by helping the organization use data as a practical engine for better decisions, stronger execution, and long-term growth.
This role will help leadership understand business performance at a deeper level, including what is driving customer behavior, where revenue opportunities exist, where operational friction is slowing execution, how products are being adopted, and which investments are most likely to create value.
Key areas of strategic support may include:
• Enterprise analytics strategy and roadmap development.
• Executive KPI framework and board-level reporting.
• AI-enabled decision intelligence and predictive analytics.
• Product analytics, usage insights, and adoption measurement.
• Revenue analytics, pipeline intelligence, and forecasting support.
• Customer lifecycle, retention, churn, and expansion analytics.
• Marketing performance, attribution, and campaign effectiveness.
• Operational performance, productivity, and efficiency analytics.
• Financial analytics, margin visibility, and investment decision support.
• Experimentation strategy and test measurement governance.
• Data quality, metric governance, and reporting standards.
• Self-service analytics enablement and business user adoption.
• Analytics platform modernization and tool optimization.
• Cross-functional insight delivery and executive decision support.
The Chief Analytics Officer will help ensure analytics is not treated as a request-based reporting function, but as a strategic enterprise capability that improves clarity, accountability, customer value, and business performance.
• Location: USA Remote.
• Primarily remote executive leadership environment with regular analytics reviews, board reporting, executive meetings, data strategy sessions, business performance discussions, and cross-functional planning.
• Flexibility required during board reporting, quarterly business reviews, forecasting cycles, major product launches, executive strategy sessions, urgent analysis requests, or high-priority business performance reviews.
• Occasional travel may be required for leadership off-sites, board meetings, analytics workshops, customer sessions, industry events, technology vendor meetings, or company gatherings.
• Regular collaboration with the CEO, Board, Data, Technology, Product, Finance, Revenue, Marketing, Customer Success, Operations, Security, Legal, HR, and business unit leadership.
• Fast-paced enterprise technology environment with high visibility around data quality, analytical trust, customer intelligence, business performance, forecasting accuracy, and strategic decision-making.
• Role requires handling confidential financial data, customer insights, product usage information, revenue performance, workforce analytics, business strategy, and executive-level materials with discretion.
• Executive Analytics Leadership
• Business Intelligence Strategy
• Decision Science
• Advanced Analytics
• AI-Enabled Analytics
• Predictive Modeling
• Product Analytics
• Revenue Analytics
• Customer Analytics
• Operational Analytics
• Executive KPI Reporting
• Data Storytelling
• Analytics Governance
• Self-Service Analytics Enablement
• Enterprise Performance Measurement
Compensation Package: $440K – $538K
The total compensation package may include base salary, executive performance bonus, long-term incentives, equity participation where applicable, analytics performance incentives, and additional executive-level benefits depending on experience, qualifications, and final role alignment.
Benefits may include:
• Comprehensive medical, dental, and vision coverage.
• Executive performance bonus eligibility.
• Long-term incentive opportunities.
• Equity or ownership-aligned compensation where applicable.
• Retirement savings plan with company contribution.
• Paid time off and company holidays.
• USA remote work flexibility.
• Board-level visibility and enterprise analytics leadership authority.
• Executive coaching, leadership development, and professional growth support.
• Support for analytics leadership, AI, data science, cloud data platforms, and executive education programs.
• Wellness, employee assistance, and work-life support programs.
• Access to modern cloud data platforms, BI tools, AI analytics systems, experimentation platforms, CRM analytics, and enterprise performance technologies.
This is an opportunity to join a large technology-driven organization where analytics directly influences strategy, revenue growth, product innovation, customer experience, operational performance, and long-term enterprise value.
The Chief Analytics Officer will have the authority and visibility to shape how the company uses data, defines success, measures performance, forecasts outcomes, and turns insight into action. This role offers meaningful exposure to the CEO, Board, executive leadership team, product leaders, commercial teams, and enterprise decision-makers.
You will work in an environment that values analytical rigor, practical business insight, modern data technology, responsible AI adoption, strong governance, and measurable outcomes. The company is investing in AI-enabled analytics, cloud data platforms, decision intelligence, product intelligence, revenue forecasting, customer lifecycle analytics, and self-service reporting.
For an analytics executive who enjoys building enterprise analytics capabilities, advising senior leaders, improving decision quality, and turning complex data into business value, this role offers the scope, influence, and leadership platform to make a major impact.
