Principal Data Consultant - Analytics & AI- Morning Shift

Company Overview 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 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 standardsAbility 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 #J-18808-Ljbffr 10Pearls