Chief Data & Analytics Officer

Jobtailor

Sandton

On-site

ZAR 300,000 - 600,000

Full time

2 days ago

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Job summary

Jobtailor is seeking a seasoned Chief Data/Analytics officer to lead the enterprise data strategy and governance for Business Bank. The role focuses on embedding data as a strategic asset, driving maturity, and monetising data products while aligning with regulatory standards.

You will build and lead cross-functional teams spanning data engineering, analytics, BI, and data science, ensuring data-enabled decision-making across products, platforms, and partnerships.

Qualifications

Postgraduate degree and professional qualifications (NQF8) in relevant fields.
15+ years in Financial Services with executive strategy/transformation experience.
Proven track record in leading enterprise data strategy and data product monetisation.
Experience engaging executive stakeholders in strategic data initiatives.

Responsibilities

Lead enterprise Data & Analytics strategy and governance.
Embed data as a strategic asset for insights and decision-making.
Drive data maturity through governance, engineering, and quality practices.
Champion data product monetisation and commercialisation.
Oversee data platforms, reporting tools, and integration with digital journeys.
Build and lead multidisciplinary teams across data engineering, analytics, BI, and data science.

Skills

Enterprise data strategy

Stakeholder engagement

Change leadership

Executive communication

Data governance

Advanced analytics

AI/ML concepts

Business acumen

Education

Postgraduate Degree (NQF8)

Discipline: Data Science / Information Systems / Business Analytics

Tools

Data engineering tools

BI & Reporting tools

Predictive modelling frameworks

AI/ML platforms

Job description

Manage the data and analytics strategy for Business Bank, embedding data as a strategic asset for insights and decision-making
Establish an ambitious data strategy positioning Business Bank as a leader in intelligent, data-driven decision-making
Champion creation and commercialisation of data products to unlock growth
Drive enterprise data maturity through governance, engineering, and quality practices
Evolve business intelligence into strategic foresight capabilities
Build scalable analytics and data science capabilities through test-and-learn approaches
Influence modern data infrastructure aligned with business priorities and enabling technologies
Lead a unified data operating model integrating clients, products, platforms, and partnerships
Mobilise cross-functional teams to embed data into strategic execution and performance management
Lead enterprise Data & Analytics strategy, data maturity uplift, data product monetisation, and strategic execution
Enable unified customer views and insight-driven decision-making for personalisation and value creation
Accelerate commercial outcomes through data-driven performance management and monetisable use cases
Embed data-led innovation through rapid prototyping, predictive modelling, advanced analytics, and MLOps/DevOps integration
Build and lead multidisciplinary teams across data engineering, analytics, BI, and data science
Lead internal data training and graduate programmes
Manage and operationalise the full Data & Analytics portfolio, including governance, platforms, and metrics
Oversee enterprise data products and reporting tools
Enable data platform integration into digital journeys and champion automation and digital innovation
Lead enterprise-wide data governance and quality efforts aligned with regulatory standards
Identify and scale high-value data products and monetisation use cases
Serve as senior liaison with Group CDAO, CAO, and Technology for platform enablement and governance
Build relationships with regulators, partners, customers, employees, and internal stakeholders to drive transformation

Requirements

Post Graduate Degree: Honours Degree, Post Graduate Diploma and Professional Qualifications [NQF8]
Field of study: Data Science, Information Systems, Business Analytics, or related disciplines
15+ years of experience in Financial Services
At least 7 years in executive roles across strategy and/or transformation in large, complex enterprises
Demonstrated success in leading enterprise data strategy, commercialising data products, and driving data maturity
Experience engaging executive stakeholders in strategic data initiatives, governance alignment, and innovation enablement
Knowledge of corporate and competitive strategy formulation
Knowledge of business transformation orchestration
Enterprise Data Strategy
Data Governance & Compliance
Advanced Analytics & Data Science
Business Intelligence & Reporting
Data Engineering & Platform Enablement
Predictive Modelling & AI/ML
Data Monetisation & Commercialisation
Strategic Foresight & Insight Activation
Stakeholder Engagement & Change Leadership
Digital Transformation & Innovation
Leadership competencies including strategic thinking, business acumen, communication, influence, leadership, creativity and innovation, delivering results, and collaboration
Postgraduate Degrees and Professional Qualifications in Physical, Mathematical, Computer and Life Sciences (Required)

Core Competencies

Demonstrates expertise in leading enterprise data strategy, data governance, and advanced analytics to drive data maturity and commercialisation of data products. Proven ability to engage stakeholders and lead multidisciplinary teams in a complex financial services environment.

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