Chief Analytics Officer (CAO)

TheHiveCareers; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

TheHiveCareers is seeking a Chief Analytics Officer (CAO) to lead the organization’s analytics strategy from Suriname. The role focuses on advanced analytics, AI/ML, and decision intelligence to enable data-driven decisions across the enterprise.

Responsibilities include defining analytics strategy, driving AI/ML adoption, overseeing BI and insights, and aligning data governance with governance standards. A strong leadership track record is essential for this executive role.

Qualifications

• Bachelor's or master's degree in data-related field.
• 15–20+ years of analytics or data science experience.
• Proven track record delivering analytics-driven business impact.
• Strong expertise in statistical modeling, AI/ML, and BI tools.
• Experience working with executive leadership and cross-functional teams.

Responsibilities

• Define and lead analytics strategy aligned with business goals.
• Develop predictive, prescriptive, and ML models across the organization.
• Oversee BI platforms, dashboards, and reporting frameworks.
• Embed analytics into business processes and drive ROI and risk management.
• Partner with data governance and IT on data architecture and quality.
• Promote experimentation and adoption of emerging analytics tech.
• Build and lead analytics and data science teams.

Skills

Analytics leadership

AI/ML

BI tooling

Stakeholder management

Data governance

Education

Bachelor's or Master's in Data Science/Statistics/Mathematics/CS

Tools

Python

R

SQL

Tableau/Power BI

Job description

Location: Suriname

Job Title: Chief Analytics Officer (CAO)

Role Summary

The Chief Analytics Officer leads the organization's analytics strategy, transforming data into actionable insights that drive business performance, innovation, and competitive advantage. This role focuses on advanced analytics, AI/ML, and decision intelligence to enable data-driven decision-making across the enterprise.

Key Responsibilities

1. Analytics Strategy & Leadership

• Define and execute enterprise-wide analytics strategy aligned with business goals
• Position analytics as a core driver of growth, efficiency, and innovation
• Advise executive leadership on insights-driven decision-making

2. Advanced Analytics & AI/ML

• Lead development of predictive, prescriptive, and machine learning models
• Drive AI/ML adoption across functions (marketing, risk, operations, finance)
• Ensure scalability and productionization of analytics models

3. Business Intelligence & Insights

• 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

4. Decision Intelligence & Value Creation

• 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

5. Data Collaboration & Governance

• Partner with the Chief Data Officer and IT teams on data architecture and quality
• Ensure responsible use of data and adherence to governance frameworks
• Align analytics initiatives with data strategy and compliance standards

6. Innovation & Experimentation

• Promote a culture of experimentation (A/B testing, hypothesis-driven analysis)
• Explore emerging technologies and advanced modeling techniques
• Drive continuous improvement in analytical capabilities

7. Talent & Capability Building

• Build and lead high-performing analytics and data science teams
• Develop analytics capabilities across the organization
• Promote data literacy and insight-driven culture

Qualifications & Experience

• 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

Key Competencies

• 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