Chief Analytics Officer (CAO)

TheHiveCareers · Suriname · posted today ago

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About this role

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