Job Description

10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, ‎digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, ‎transformative ‎digital products that leverage emerging technologies. ‎10Pearls' clients ‎include Global 2000 enterprises, high growth mid-size ‎businesses, and some of the most exciting ‎start-ups from industries like healthcare, fintech, ‎energy, education, ‎real estate, retail, and hi-tech. ‎Headquartered in the Washington DC metro area, 10Pearls has product engineering and ‎software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit https://10pearls.com

Role

We are seeking a seasoned VP, Stream Head Data Analytics for Functions with 15-18+ years of experience to lead the Data & Analytics function covering Regulatory Reporting, Finance, Compliance, and Risk. This is a senior leadership role driving automation, regulatory compliance, and AI-powered analytics transformation across multiple international geographies. The role will be pivotal in shaping regulatory reporting strategy, managing technology and vendor solutions, and strengthening governance and delivery frameworks across CIBG & IBG regions.

Responsibilities:

• Lead end-to-end regulatory reporting automation strategy across corporate and international banking divisions
• Ensure compliance with all Central Bank requirements and interpret new regulatory circulars
• Define governance frameworks and SLAs for timely, accurate reporting
• Actively assess new regulatory circulars, interpret their impact, and drive go-forward strategies
• Oversee design, architecture, and solutioning of regulatory reporting tools and platforms
• Manage vendor selection, implementation, and optimization of reporting systems
• Establish and lead Run the Bank (RTB) and Change Management teams for sustainable delivery
• Drive adoption of modern data platforms, AI/ML toolkits, and GenAI services including LLM-powered assistants
• Collaborate with business, compliance, risk, and technology stakeholders to co-create data-driven solutions
• Act as a key member of the Regulatory Reporting COE committee overseeing policy development, vendor selection, use case evaluation, and project approvals
• Drive cross-functional discussions ensuring alignment between business, risk, and technology
• Lead a multidisciplinary team of data engineers, BI developers, data scientists, and AI/ML specialists
• Provide strategic planning for regulatory reporting automation roadmap
• Lead budgeting, forecasting, and annual planning for reporting and compliance initiatives
• Supervise program management ensuring strategic alignment and efficient execution of projects
• Promote innovation, continuous learning, and agile delivery across teams
• Drive continuous improvement, operational efficiency, and scalability across regions

Requirements:

• 15-18+ years of experience in regulatory reporting, compliance, or financial data analytics
  Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Significant experience enabling data transformation in the banking functions space
• Strong expertise in Central Bank regulatory frameworks across international banking regions
• Proven track record in regulatory technology automation, tool implementation, and vendor management
• Experience with Core Banking Transformation programs
• Experience leading large cross-functional RTB and Change teams
• Strong people leadership skills - ability to build, mentor, and scale high-performing analytics teams
• Experience managing cross-functional stakeholders across Corporate, Treasury, and international banking functions
• Ability to operate across and manage geographically distributed teams across multiple international offices
• Exceptional communication skills - able to translate technical concepts for non-technical audiences
• Collaborative problem-solving across cross-functional and geographically distributed teams
• Deep knowledge of data governance frameworks, regulatory data lineage, and audit-readiness principles
• Strong understanding of data quality frameworks and metadata standards
• Strong understanding of data privacy, integrity, and accessibility standards
• Ability to balance legacy platforms and modern cloud-based solutions simultaneously
• Familiarity with AI/ML integration, GenAI services, LLM APIs, and prompt engineering frameworks
• Understanding of vector databases, semantic search, and RAG (Retrieval Augmented Generation) systems
• Proficiency in strategic budgeting, planning, and project management
• Experience with agile delivery methodologies
• Familiarity with program management and ensuring strategic alignment across initiatives
• Certifications in AI/ML, cloud platforms, or analytics tools are a plus