VP - Data Analytics

We are looking for a seasoned Vice President of Data Analytics for Functions to lead data analytics and transformation efforts across Regulatory Reporting, Finance, Compliance, and Risk within the banking and financial services sector. This leadership role focuses on driving automation in regulatory reporting, ensuring adherence to Central Bank requirements, and establishing strong governance and technology frameworks across Corporate & Investment Banking Group (CIBG) and International Banking Group (IBG) regions. The successful candidate will bring deep expertise in regulatory reporting, financial data analytics, banking transformation, vendor management, and cutting-edge data and AI technologies. Collaboration with senior stakeholders and cross-functional teams is essential to deliver scalable, secure, and compliant solutions that enhance operational efficiency and foster innovation.

Key Responsibilities

- Lead initiatives to automate regulatory reporting across CIBG and IBG, 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 impact on business operations, and drive effective implementation strategies.
- Oversee the architecture, design, deployment, and continuous optimization 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 continuous process improvements.
- Lead the end-to-end regulatory reporting automation roadmap, aligning it with business priorities and the broader enterprise data strategy.
- Define and enforce data quality frameworks, metadata standards, regulatory data lineage, and audit-readiness protocols.
- Collaborate closely with stakeholders from Finance, Treasury, Compliance, Risk, Operations, Wholesale Banking, and International Banking to develop data-driven solutions.
- Lead multidisciplinary teams comprising data engineers, BI developers, data scientists, and AI/ML specialists, fostering a culture of innovation and agile delivery.
- Drive the adoption of modern data platforms, AI/ML technologies, and Generative AI solutions, including large language model (LLM)-powered assistants and prompt engineering frameworks.
- Participate actively in the Regulatory Reporting Centre of Excellence (COE) by contributing to 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, monitor system performance, and ensure cross-functional collaboration for strategic alignment and operational efficiency.
- Identify and mitigate risks related to data privacy, security, regulatory compliance, and responsible AI implementation.
- Champion 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.
- Strong expertise in Central Bank regulatory frameworks and implementing data analytics within core banking transformation programs, preferably in the 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.
- In-depth knowledge of data governance frameworks, regulatory data lineage, data quality management, and audit-readiness standards.
- 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.
- Strong leadership capabilities with experience building, mentoring, and scaling high-performing analytics teams.
- Excellent stakeholder management, communication, strategic thinking, and problem-solving abilities.
- 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 are considered an advantage, enhancing the candidate’s ability to lead advanced technology initiatives within the regulatory reporting space. This role offers the opportunity to work at the forefront of banking transformation, leveraging innovative technologies to shape the future of regulatory compliance and data analytics.