VP - Data Analytics

We are looking for a seasoned Vice President of Data Analytics for Functions to lead data analytics and transformation efforts within Regulatory Reporting, Finance, Compliance, and Risk in the banking and financial services sector. This leadership role focuses on driving automation in regulatory reporting, ensuring adherence to Central Bank regulations, and establishing strong governance and technology frameworks across Corporate & Institutional Banking Group (CIBG) and International Banking Group (IBG) regions. The successful candidate will collaborate closely with senior stakeholders and cross-functional teams to deliver scalable, secure, and compliant data solutions while fostering operational efficiency and innovation.

Key Responsibilities

- Lead initiatives to automate regulatory reporting across CIBG and IBG regions, ensuring full compliance with Central Bank regulations and circulars.
- Develop and implement regulatory reporting strategies, governance frameworks, and service level agreements (SLAs) to guarantee timely and accurate submissions.
- Analyze new regulatory circulars, assess their business impact, and drive effective implementation plans.
- Oversee the architecture, design, deployment, and continuous improvement of regulatory reporting tools and platforms.
- Manage vendor selection, onboarding, and performance monitoring to ensure successful technology delivery.
- Establish and supervise Run the Bank (RTB) and Change Management teams to maintain sustainable operations and promote continuous improvement.
- Lead the end-to-end regulatory reporting automation roadmap, aligning it with enterprise data strategy and business priorities.
- Implement data quality frameworks, metadata standards, regulatory data lineage, and audit-readiness practices.
- Collaborate with stakeholders from Finance, Treasury, Compliance, Risk, Operations, Wholesale Banking, and International Banking to develop data-driven solutions.
- Lead multidisciplinary teams including data engineers, BI developers, data scientists, and AI/ML specialists, encouraging innovation and agile delivery.
- Drive adoption of modern data platforms, AI/ML technologies, and Generative AI solutions, such as large language model (LLM)-powered assistants and prompt engineering frameworks.
- Participate actively in the Regulatory Reporting Centre of Excellence (COE) for policy development, use-case evaluation, vendor selection, and project approvals.
- Manage budgeting, forecasting, resource allocation, and annual planning for regulatory reporting and compliance initiatives.
- Oversee program delivery, system performance, and cross-functional collaboration to ensure strategic alignment and operational efficiency.
- Identify and mitigate risks related to data privacy, security, regulatory compliance, and responsible AI deployment.
- Promote continuous improvement, scalability, and technology innovation across regional operations.

Required Qualifications

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- 15 to 18+ years of experience in regulatory reporting, compliance, financial data analytics, or data transformation within the banking and financial services industry.
- Deep expertise in Central Bank regulatory frameworks and data analytics implementation, particularly within core banking transformation programs across UAE and IBG regions.
- Proven track record in regulatory technology automation, reporting platform implementation, and vendor management.
- Experience leading large, cross-functional teams across Run the Bank (RTB) and Change Management functions.
- Strong knowledge of data governance frameworks, regulatory data lineage, data quality assurance, and audit-readiness principles.
- Familiarity with modern data platforms, AI/ML technologies, Generative AI services, and enterprise technology integration.
- Demonstrated skills in strategic planning, budgeting, forecasting, project management, and resource allocation.
- Excellent leadership capabilities with experience building, mentoring, and scaling high-performing analytics teams.
- Strong stakeholder management, communication, strategic thinking, and problem-solving skills.
- Ability to balance business transformation and technology innovation with regulatory, security, ethical, and operational requirements.

Preferred Qualifications and Benefits

Certifications in AI/ML, cloud platforms, or analytics tools will be considered an advantage, supporting the candidate’s ability to lead cutting-edge technology adoption and innovation within the organization.