Chief Analytics Officer (CAO)

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 Originally posted on Himalayas