GROUP SENIOR DATA AND AI SPECIALIST – Fsg Limited 920 views

Key Responsibilities

• Own and execute the Data & Analytics Enablement pillar of the digital strategy. Develop and govern the 3-year Data & AI roadmap, ensuring alignment with the internal developed Models and key objectives.
• Establish the “Single Source of Truth”: Architect, build, and govern the central data warehouse/Lakehouse integrating Policy Administration Systems, ERP, Fleet Management Applications, and other applications data to eliminate silos and enable unified decision-making.
• Drive Data Monetisation: Partner with business units to identify and quantify high-impact use cases where data and AI can create new revenue (e.g., predictive policy upsell, microinsurance targeting) or protect revenue (e.g., lapse prediction, fraud detection).
• Lead the development and deployment of production-grade AI/ML models that deliver measurable business outcomes, directly contributing to strategic pillars.
• Operational Efficiency: Build predictive models for claims adjudication, develop automation bots (e.g., premium-to-bank reconciliation), and implement IoT data analytics for fleet management.
• Customer Experience: Enhance the current FSG chatbot with AI, develop personalisation engines for the unified customer portal, and create USSD-based analytics for low-income segments.
• New Business Models: Explore and pilot innovative applications (e.g., blockchain for policy integrity, GenAI for service personalisation) as outlined in the innovation pillar.
• Establish and run the MLOps/ModelOps lifecycle from experimentation to deployment, monitoring, and governance, ensuring models remain accurate, ethical, and compliant.

Requirements

Insight Generation & Cultural Transformation:

• Transition FSG to a data-driven decision-making culture. Design and implement real-time executive dashboards and self-service analytics platforms that provide actionable insights into premium, claims, funeral data, and customer feedback.
• Act as the primary translator between complex data science and business leadership (including EXCO). Synthesise analytical findings into compelling narratives and strategic recommendations that guide investment and operational decisions.
• Champion data literacy across the organisation through training programs and by embedding analytical capabilities within business units.

Governance, Compliance & Capability Building (Supporting Scalable Platform):

• Implement robust Data Governance: Define and enforce data quality standards, master data management, and data security controls in full compliance with the Botswana Data Protection Act, POPIA, and Zambia’s Data Protection Act.
• Build and lead FS’s future Data & Al team in line with the Phased Hiring Plan (2025-2028). Mentor data engineers and analysts, and oversee the strategic co-sourcing partnerships for specialised skills.
• Manage the Data & Al technology stack and budget, ensuring strategic alignment with the cloud migration (Azure) and infrastructure modernisation roadmap.

Minimum Educational And Experience Requirements

Essential:

• Degree or Masters in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
• Minimum of 5 years of progressive experience, with at least 3 years in a lead role designing, building, and deploying production-grade data platforms and Al/ML solutions that delivered clear business ROI.
• Proven experience in the financial services, insurance, or a similarly regulated industry is highly advantageous.
• Deep, hands-on technical mastery required in:
• Data Engineering & Architecture: Building enterprise data warehouses/lakes, ETL/ELT pipelines (e.g., Azure Data Factory, dbt, Apache Airflow), and real-time data streaming.
• Advanced Analytics & AI/ML: Expert Python (Pandas, Scikit-learn, PyTorch/TensorFlow), SQL, statistical modelling (time-series, SEM), and MLOps tools (MLflow, Azure ML).

Highly Desirable:

• Professional certifications: Microsoft Certified: Azure Data Scientist Associate, Data management Professional, Azure Al Engineer Associate or equivalent.
• Experience in a group holding company or a similarly complex, diversified organization.

How to Apply