Job Title:  Manager | Data Architect | Mumbai | Technology Strategy & Transformation

Job Title: Senior Data Architecture & Analytics Leader (Banking & Enterprise Analytics)

Role Overview

We are seeking a highly experienced Data Architecture & Analytics Leader with 20+ years of expertise in banking, enterprise data platforms, and analytics transformation. This role will lead the design and implementation of large-scale data ecosystems, enabling enterprise decision intelligence, regulatory reporting, and advanced analytics across retail and corporate banking domains.

Key Responsibilities

• Lead enterprise data architecture strategy including Data Warehousing, Data Lakes, and integrated analytics platforms
• Design and manage large-scale data ecosystems, integrating 50+ enterprise source systems across banking functions
• Establish and govern Master Data Management (MDM) frameworks for Customer, Product, Account, and organizational hierarchies
• Architect Customer 360, Product 360, and portfolio analytics platforms for enterprise-wide visibility
• Build and operationalize KPI factories delivering thousands of business metrics across banking operations
• Develop advanced analytics solutions for:
  • Fraud detection and early warning systems
  • NPA monitoring and recovery analytics
  • Complaints management and TAT optimization
  • Lead-to-sanction-to-disbursement lifecycle tracking
• Define dimensional models, semantic layers, and data standards to enable scalable and reusable analytics
• Drive data quality, reconciliation, certification, and governance frameworks
• Enable near real-time MIS, dashboards, and executive reporting platforms for CXO-level decision-making
• Partner with business, technology, and vendor teams to deliver end-to-end transformation programs
• Lead and mentor cross-functional teams including data engineers, analysts, and business stakeholders

Required Skills & Qualifications

• 20+ years of experience in data architecture, analytics, and banking transformation
• Strong expertise in:
  • Data Warehousing, Data Lakes, ETL, and Data Integration
  • Master Data Management (MDM)
  • Dimensional modeling and semantic layer design
• Deep domain knowledge of banking operations:
  • Retail & Corporate Banking
  • Credit, Risk, NPA, and Collections
  • Sales, Leads, and Customer Lifecycle
• Proven experience delivering enterprise-scale analytics platforms and KPI frameworks
• Strong hands-on experience with SQL, SAS, and enterprise analytics tools
• Expertise in executive dashboards, MIS, and decision intelligence systems
• Demonstrated ability to manage large programs, stakeholders, and vendors

Preferred Experience

• Experience working with large public sector or tier-1 banks
• Background in consulting or system integration firms
• Exposure to regulatory reporting and compliance analytics
• Experience building real-time or near real-time data platforms

Key Competencies

• Strategic thinking and enterprise architecture vision
• Strong leadership and team-building capabilities
• Stakeholder influence at CXO and board level
• Problem-solving and data-driven decision-making
• Ability to translate complex data ecosystems into business value

Impact & Success Metrics

• Successful implementation of enterprise data platforms at scale
• Adoption of Customer 360 / Product 360 frameworks
• Reduction in operational turnaround time (TAT)
• Improved risk monitoring, fraud detection, and portfolio performance
• Standardization and governance of enterprise KPIs and reporting system

Education

Full time B.Tech /B.E