
Robert Walters
Group Data Head
- Permanent
- Al Kuwait City, Kuwait
- Experience 10 - 15 yrs
Job expiry date: 16/10/2026
Job overview
Date posted
01/09/2026
Location
Al Kuwait City, Kuwait
Salary
Undisclosed
Compensation
Comprehensive package + relocation
Job description
A leading pioneer in Islamic Finance and Shari'a-compliant banking is building its data capability around digital transformation and data-driven decision-making, and this Group Data Head role leads that effort end to end. You will develop and execute the Group-wide Data Strategy, Data Management, and Analytics roadmap, working closely with senior stakeholders across Technology, Risk, Compliance, and business functions. Data Governance, Data Quality, and Data Management frameworks, policies, and standards need establishing and strengthening across the organisation. Advanced analytics, AI, and machine learning get adopted under this role's leadership to generate actionable business insights that drive revenue growth, cost reduction, and better customer experience. Technologies, vendors, budgets, and strategic initiatives across data and analytics all fall under direct oversight. Predictive analytics, NLP, and machine learning techniques get applied across structured and unstructured data, translating business requirements into effective analytics and data solutions in partnership with business leaders. Data monetisation initiatives get driven, with measurable KPIs established for data and analytics investments. Access, privacy, security, and regulatory compliance for data need ensuring across the entire organisation, alongside enterprise-wide data quality improvements. A genuinely data-driven culture gets built, including data literacy and adoption initiatives, while high-performing data, analytics, and governance teams get led and developed. Senior leadership and governance committees rely on this role to keep data strategy aligned with corporate strategy and regulatory requirements.
Required skills
Key responsibilities
- Develop and execute the Group-wide Data Strategy, Data Management, and Analytics roadmap
- Establish and strengthen Data Governance, Data Quality, and Data Management frameworks, policies, and standards
- Lead the adoption of advanced analytics, AI, and machine learning to generate actionable business insights
- Identify opportunities to use data to increase revenue, reduce costs and risks, and improve customer experience
- Oversee data and analytics technologies, vendors, budgets, and strategic initiatives
- Partner with business leaders to translate business requirements into effective analytics and data solutions
- Promote advanced analytical techniques across structured and unstructured data, including predictive analytics, NLP, and machine learning
- Drive data monetisation initiatives and establish measurable KPIs for data and analytics investments
- Ensure appropriate data access, privacy, security, and regulatory compliance across the organisation
- Improve enterprise-wide data quality and establish effective processes for resolving data-related issues
- Build a strong data-driven culture, including data literacy and adoption initiatives across the organisation
- Manage and develop high-performing data, analytics, and governance teams
- Champion continuous improvement and transformation of data-related processes, systems, and practices
- Work with senior leadership and governance committees to ensure alignment with corporate strategy and regulatory requirements
Experience & skills
- Hold a bachelor's degree in Computer Science, IT, Computer Engineering, AI, Machine Learning, or a related field
- Pursue a master's degree in Data Science, Analytics, AI, Machine Learning, or a related discipline, preferred
- Bring 12+ years of relevant experience, preferably within banking or financial services
- Carry at least 5 years of leadership experience across Data Science, AI, Machine Learning, or Advanced Analytics
- Show strong experience developing and implementing enterprise Data Strategy and Data Governance
- Apply strong knowledge of banking products, services, and data environments
- Demonstrate hands-on understanding of analytics technologies such as Python, R, SQL, SAS, or MATLAB
- Draw on experience with data visualisation tools such as Power BI or Tableau
- Maintain knowledge of cloud and big-data technologies, particularly Azure
- Communicate complex technical concepts effectively to senior non-technical stakeholders
- Speak Arabic and English proficiently, preferred