Senior Data Model Manager

Role Overview

We are on the lookout for a distinguished Senior Data Model Manager with extensive experience in banking and consulting sectors. This pivotal role requires the lead in crafting, governing, and refining enterprise-level data models. The successful candidate will ensure the delivery of high-quality, scalable, and compliant data architectures that are essential for significant financial processes, regulatory reporting, advanced analytics, and AI initiatives. A combination of profound technical skills, business insights from the financial arena, and the capability to devise structured solutions in intricate consulting projects is key to success in this position.

Benefits & Growth Opportunities:

· Competitive compensation package and performance rewards

· Comprehensive health insurance coverage

· Support for professional development and certifications

· Engage in groundbreaking AI projects

· Opportunities for international exposure and travel

· Flexibility in work arrangements

· Career growth prospects in a fast-evolving AI company

This role presents a unique opportunity to influence the trajectory of AI integration while collaborating with a proficient team, propelling our mission to deliver transformative AI solutions to our clientele.

Key Responsibilities

• Guide the development, execution, and management of enterprise data models across banking products, risk management, treasury, and regulatory frameworks.
• Establish and uphold data modeling standards and governance protocols for heavily regulated financial entities.
• Collaborate with Data Architects, Engineers, and Business Analysts to ensure data models meet both business and regulatory expectations (Basel III, IFRS, BCBS 239, AML/KYC).
• Convert complex banking workflows (credit, risk, treasury, payments, capital markets) into structured, reusable data models.
• Supervise data lineage, metadata, and master data elements, ensuring compliance with transparency requirements for audits.
• Conduct impact assessments for schema and structural adjustments to ensure seamless core banking operations and reporting.
• Work alongside consulting partners and internal teams to propel data transformation initiatives, system migrations, and cloud transitions.
• Develop data modeling strategies that facilitate AI/ML projects, stress testing, scenario analyses, and customer insights.
• Mentor and coordinate data modelers while embedding consulting-grade delivery standards.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.
• Minimum of 10 years in data modeling with experience in the banking sector and consulting/BIG 4 project execution.
• Demonstrated capability to create and implement conceptual, logical, and physical data models within banking sectors (risk, finance, treasury, compliance, customer data).
• Practical experience with data modeling tools (e.g., Erwin, ER/Studio, SAP PowerDesigner).
• In-depth knowledge of relational databases (Oracle, SQL Server, PostgreSQL) and modern platforms (Snowflake, BigQuery, Redshift).
• Background in data governance, metadata stewardship, and regulatory reporting data structures.
• Familiarity with cloud technologies (AWS, Azure, GCP) and contemporary architectures (data lakes, data mesh).
• Outstanding stakeholder management skills, demonstrated through presentations to C-level executives in banking institutions and regulatory authorities.

Preferred Qualifications

• Experience with leading consulting firms (Big 4, Accenture, Capgemini, or similar).
• Direct involvement in banking transformation projects such as core banking system upgrades, regulatory reporting enhancements, or data strategy initiatives.
• Familiarity with NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling techniques.
• Certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM for financial insights) are highly valued.

Tools & Technologies (Relevant Exposure)

• Data Modeling: Erwin, ER/Studio, PowerDesigner
• Banking Systems: Temenos, Finacle, Murex, Calypso
• Databases: Oracle, SQL Server, PostgreSQL, Snowflake, BigQuery, Redshift
• Governance: Collibra, Informatica, Alation
• Analytics & BI: Tableau, Power BI, SAS, Qlik
• Regulatory/Financial Frameworks: Basel III, IFRS, BCBS 239, ICAAP/ILAAP