10Pearls
Principal Data Consultant - Analytics & AI- Morning Shift
Karachi, Lahore, Islamabad, Pakistan - Full Time
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 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
