Assistant Vice President-Senior Data Modeler- Retail Banking

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President - Senior Data Modeler – Retail Banking.We are seeking a seasoned Senior Data Modeler with deep expertise in Retail Banking to provide thought leadership in data modeling and architecture. The ideal candidate will have extensive experience in designing scalable, future-proof data models that support key banking functions such as customer accounts, deposits, loans, credit cards, transactions, and payments. This role requires strong domain expertise, ensuring data models align with operational efficiency, analytics, and automation while adhering to industry regulations. Key Responsibilities· Deep Domain Expertise:§ Develop conceptual, logical, and physical data models for core Retail Banking processes, including customer onboarding, account management, deposits, lending, payments, risk management, and fraud detection.§ Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. § Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics.· Collaboration & Leadership:§ Collaborate with key Retail Banking stakeholder groups including decision-makers, analysts, operational users, and compliance teams.§ Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. § Provide technical guidance and mentorship to junior data modelers and analysts.§ Facilitate review sessions and present model designs to stakeholders.· Compliance & Regulatory Considerations:§ Ensure data models adhere to industry regulations, including Basel III, GDPR, CCPA, PCI-DSS, KYC, AML (Anti-Money Laundering), and SOX (Sarbanes-Oxley). § Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance.· Technical Excellence:§ Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, or equivalent) to develop and maintain models.§ Stay current with emerging trends and technologies in data management, data warehousing, and analytics.§ Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization.· Process Improvement:§ Identify opportunities for process improvements and automation within business data workflows.§ Support continuous improvement initiatives to streamline business operations and reporting.  Qualifications we seek in youMinimum Qualifications· Bachelor’s degree in business information systems (IS), computer science or related field, or equivalent-related IT experience· Extensive experience in data modeling and data architecture, specifically in the Wealth Management domain.· Prior experience working closely with various diverse stakeholder groups to capture detailed data requirements· Proven expertise in designing and managing data models for wealth management processes (portfolio management, risk analysis, client segmentation, asset allocation, etc.). Preferred Qualifications/ Skills· Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).· Expertise in data modelling principles/methods including conceptual, logical & physical data models.· Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.· Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required.· Strong understanding of Wealth Management business processes, including portfolio management, risk analysis, client segmentation, asset allocation, etc.· Ability to clearly translate complex data models into actionable business insights.· Excellent analytical, problem-solving, and communication skills.· Strong interpersonal skills and the ability to work collaboratively with both technical and business teams.· Knowledge of compliance and regulatory requirements (e.g., SEC, FINRA, GDPR/CCPA). Why join Genpact? • Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation • Make an impact – Drive change for global enterprises and solve business challenges that matter • Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.