Assistant Vice President-Senior Data Modeler- Retail Banking
Assistant Vice President-Senior Data Modeler- Retail Banking
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Job Description
Ready to shape the future of work
At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 thats 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 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 you!
Minimum Qualifications
Bachelors 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 140000 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.
Lets build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race color religion or belief sex age national origin citizenship status marital status military/veteran status genetic information sexual orientation gender identity physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity customer focus and innovation.
Furthermore please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit paying to apply or purchasing equipment or training.
Required Experience:
Chief
Employment Type
Full-Time
