Enterprise Architect

UpMan Placements

Pune District

Presencial

INR 4.000.000 - 6.500.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

UpMan Placements is seeking an seasoned Enterprise Architect to own the architecture strategy for a large-scale lending ecosystem, including LOS, LMS, digital channels, embedded finance, and collections. You will define target-state roadmaps, governance, and platform modernization in a regulatory-compliant, API-first, event-driven environment.

The ideal candidate has 15+ years in banking or lending technology and proven leadership across enterprise-scale architectures, cloud adoption, and

Formación

  • Senior architect owning and transforming the complete lending ecosystem across LOS, LMS, decisioning, digital channels, co-lending, embedded finance, collections and servicing journeys.
  • Experience with enterprise architecture strategy and technology roadmaps for banks or large NBFCs.
  • Familiar with TOGAF/Zachman/SABSA or equivalent and business capability modelling.
  • Ability to drive architecture governance, reference architectures and technology roadmaps.

Responsabilidades

  • Lead architecture for large-scale digital lending platforms and multi-product ecosystems.
  • Define and govern enterprise architecture vision, target-state architectures and engineering standards.
  • Drive cloud-native architecture, AWS-native strategy, and FinOps practices.
  • Oversee platform modernization, application rationalization and technical debt reduction.
  • Collaborate with business, product, operations, risk, compliance and technology leadership.

Conocimientos

Enterprise Architecture
Lending Domain
Stakeholder Management
Cloud Architecture
API-Driven Design
GenAI Capabilities
Security & IAM
Platform Modernization
Data Architecture
Vendor Assessments

Herramientas

AWS
Node.js
React
Python
DevSecOps

Descripción del empleo

Enterprise Architect Digital Lending & Platform Transformation

Experience: 15 - 20 Years

Location: India

Ideal Profile

A senior architect who has owned and transformed the complete lending ecosystemcovering LOS, LMS, decisioning, digital channels, co-lending, embedded finance, collections, and partner integrations—while defining enterprise architecture strategy and technology roadmaps for a bank or large NBFC.

Role Summary

Seeking a seasoned Enterprise Architect to own the architecture strategy, target-state roadmap, and technology governance for a large-scale lending ecosystem. The role will drive architecture across Loan Origination Systems, Loan Management Systems, digital lending channels, partner ecosystems, co-lending platforms, embedded finance, collections, and servicing journeys.

The ideal candidate combines deep lending domain expertise with enterprise-scale architecture leadership, enabling rapid business growth through scalable, API-first, event-driven, and regulator-compliant platforms.

Key Responsibilities
Architecture & Technology
  • Proven experience as an Enterprise Architect, Chief Architect, or Principal Architect leading large-scale digital lending platforms.
  • Experience with Enterprise Architecture frameworks (TOGAF, Zachman, SABSA or equivalent) and business capability modelling.
  • Hands-on experience with cloud-native technology ecosystems across AWS, modern application frameworks (Node.js, React, Python), container platforms, DevSecOps, Infrastructure-as-Code, observability, API management, event-driven architectures, and AI/GenAI platforms.
  • Experience architecting multi-product lending ecosystems supporting high transaction volumes, partner networks, embedded finance, co-lending, and digital customer journeys.
  • Define and govern enterprise architecture vision, target-state architectures, reference architectures, engineering standards, and technology roadmaps.
  • Drive platform modernization, application rationalization, technology standardization, cloud transformation, resilience engineering, and technical debt reduction.
  • Lead architecture across lending platforms, integration layers, data platforms, cloud infrastructure, security, AI, and partner ecosystems.
  • Establish architecture governance, design authorities, architecture review boards, capability maps, and technology lifecycle management.
  • Drive AWS-native architecture strategy covering compute, data, networking, security, observability, resilience, and FinOps practices.
  • Lead technology evaluations, build-vs-buy decisions, vendor assessments, and platform selection initiatives.
  • Define enterprise security architecture, Zero Trust principles, IAM, data protection, encryption, secrets management, and regulatory compliance controls.
  • Design API-first and event-driven architectures leveraging modern integration patterns across real-time, batch, file-based, and partner integrations.
  • Partner with business, product, operations, risk, compliance, and technology leadership teams to execute enterprise architecture strategy and transformation programs.
  • Leverage AI and GenAI capabilities across underwriting, servicing, collections, fraud management, decisioning, document processing, and employee productivity use cases.
  • Define enterprise data architecture encompassing governance, customer data platforms, real-time decisioning, analytics, lakehouse architectures, and AI-ready data foundations.
Required Experience
  • Deep expertise in Digital lending ecosystems, Embedded finance
  • Loan servicing and collections
Key Competencies
  • 15+ Years of Domain Expertise in Banking, NBFC, or Lending Technology.
  • Enterprise-wide architecture leadership
  • Strategic technology vision and execution
  • Strong lending domain depth
  • Executive stakeholder management
  • Ecosystem and partnership architecture expertise
  • Decision-making under ambiguity
  • Influence without authority
  • Exceptional communication and leadership skills
  • Strong understanding of:
    • Lending operations
    • Regulatory and compliance requirements
    • Using AI across platforms
    • Data & Platform Architecture
    • Cloud, Engineering & Modern Architecture
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