Chief Analytics Officer (CAO)

About the Role

The CAO will work closely with cross-functional teams, including marketing, risk, operations, and finance, to drive AI/ML adoption and ensure scalability and productionization of analytics models. This role will also oversee business intelligence platforms, dashboards, and reporting frameworks, enabling real-time and self-service analytics across business units.

TheHiveCareers is committed to innovation and experimentation, and the CAO will be expected to promote a culture of experimentation and drive continuous improvement in analytical capabilities. This role will also involve partnering with the Chief Data Officer and IT teams on data architecture and quality, ensuring responsible use of data and adherence to governance frameworks.

What You Will Do

• Define and execute enterprise-wide analytics strategy aligned with business goals
• Lead development of predictive, prescriptive, and machine learning models
• Drive AI/ML adoption across functions, including marketing, risk, operations, and finance
• Oversee BI platforms, dashboards, and reporting frameworks
• Enable real-time and self-service analytics across business units
• Translate complex data into clear, actionable insights for stakeholders
• Embed analytics into business processes and decision workflows
• Drive measurable impact on revenue growth, cost optimization, and risk management
• Establish KPIs to track analytics ROI and business outcomes
• Partner with the Chief Data Officer and IT teams on data architecture and quality
• Ensure responsible use of data and adherence to governance frameworks

What We Are Looking For

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• 15-20+ years of experience in analytics, data science, or quantitative roles
• Proven track record in delivering analytics-driven business impact
• Strong expertise in statistical modeling, AI/ML, and BI tools
• Experience working with executive leadership and cross-functional teams
• Strong analytical and quantitative expertise
• Strategic thinking and business acumen
• Ability to translate data into actionable insights
• Leadership and stakeholder influence
• Innovation and problem-solving mindset

Nice to Have

• Experience with cloud-based data platforms and tools
• Knowledge of emerging technologies, such as blockchain and IoT
• Certification in data science or related field
• Experience with agile development methodologies

Benefits and Perks

• Competitive salary and bonus structure
• Comprehensive health insurance plan
• Generous PTO and holiday policy
• Remote work stipend and flexible working arrangements
• Opportunities for professional development and growth
• Access to cutting-edge technologies and tools
• Collaborative and dynamic work environment
• Recognition and reward programs for outstanding performance

• When applying, be sure to highlight your experience with advanced analytics, AI/ML, and decision intelligence, as well as your ability to communicate complex insights to executive leadership.
• Showcase your expertise in statistical modeling, AI/ML, and BI tools, and provide examples of how you have driven business growth and competitive advantage through data-driven decision making.
• Be prepared to discuss your approach to innovation and experimentation, and how you promote a culture of experimentation within an organization.
• Emphasize your ability to translate complex data into actionable insights, and provide examples of how you have done so in previous roles.
• Don't be afraid to ask about the company's commitment to innovation and experimentation, and how the CAO role contributes to this effort.
• When negotiating salary, be sure to research industry standards and highlight your unique skills and experience.
• Be wary of companies that do not prioritize data-driven decision making or do not provide opportunities for professional growth and development.