Enterprise Architect Financial Services (Banking, Insurance Wealth / Asset Management)
Role Summary
We are seeking a seasoned Enterprise Architect with 15+ years of IT experience and 8+ years of architecture experience to lead large-scale digital transformation, modernization, and AI-enabled engineering programs for clients across Banking, Insurance, and Wealth Asset Management.
This role requires a strong combination of:
- Enterprise and solution architecture leadership
- Pre-sales solutioning and large-deal architecting
- Cloud-native and modern engineering expertise
- AI / GenAI / SDLC transformation capabilities
- Deep Financial Services domain knowledge across business platforms, customer journeys, risk, compliance, and operational transformation
The architect will act as a trusted advisor to business and technology stakeholders, translating strategic priorities into secure, scalable, compliant, and value-led transformation solutions.
Key Responsibilities
Enterprise Architecture FS Transformation Strategy
- Define and drive enterprise architecture vision, target-state roadmaps, and transformation blueprints for Financial Services clients.
- Architect end-to-end solutions spanning business applications, data, integration, cloud, security, and AI layers.
- Establish reference architectures, reusable patterns, governance models, and architecture standards aligned with enterprise and regulatory requirements.
- Lead architecture assessments, target-state definition, modernization planning, and platform / portfolio rationalization initiatives.
Pre-Sales Solutioning Large Deal Architecting
- Lead solution architecture and proposal shaping for strategic pursuits, RFPs, RFIs, and large transformation deals.
- Translate client sector priorities and business challenges into compelling, differentiated technology solutions and transformation roadmaps.
- Develop solution blueprints, architecture narratives, delivery models, effort estimates, implementation approaches, and commercial framing.
- Partner with account, consulting, engineering, and delivery teams to craft solutions that are technically viable, commercially sound, and sector-relevant.
- Present solution direction and value realization to senior client stakeholders and decision-makers. The internal explicitly positions this role as a key solution orchestrator with both new opportunity shaping and delivery involvement.
Sector-Specific Architecture Leadership Banking, Insurance WAM
Drive architecture and transformation programs across core Financial Services priorities such as:
Banking
- Core modernization, digital banking, customer onboarding, payments modernization, lending platforms, integration modernization, API platforms, and cloud transformation.
- Internal FS references explicitly call out banking transformation, client onboarding, KYC / due diligence, and compliance / regulatory value protection.
Insurance
- Policy / claims platform modernization, underwriting transformation, customer and agent experience, risk and compliance modernization, and digital distribution enablement.
- Internal references explicitly include Insurance / general insurance transformation contexts and Insurance Underwriting AI examples.
Wealth Asset Management (WAM)
- Advisor platforms, portfolio and investment platforms, asset servicing, middle- and back-office modernization, wealth data architecture, onboarding journeys, and platform interoperability.
- Internal WAM references explicitly mention portfolio valuation, NAV calculations, fee computations, investor allocations reporting, plus AI in wealth and asset management and wealth platform modernization.
Solution Blueprinting Digital Transformation Delivery
- Lead architecture definition for large, complex, multi-year transformation engagements involving modernization, cloud migration, platform engineering, data transformation, and application rationalization.
- Design cloud-native,
microservices, API-led, event-driven, and platform-based architectures.
- Provide architecture leadership through delivery to ensure alignment with blueprint, non-functional requirements, regulatory controls, and business outcomes.
- Support initiatives such as open architecture integration, Kubernetes/container-based modernization, and cloud-agnostic middleware / orchestration patterns, which are explicitly reflected in internal WAM transformation references.
AI / GenAI / AI-Native Engineering
- Architect and integrate AI / GenAI capabilities into Financial Services solutions, including use cases for developer productivity, customer operations, underwriting, compliance, regulatory reporting, and transformation acceleration.
- Design AI-enabled architectures using LLMs, agentic patterns, orchestration frameworks, governance controls, and enterprise knowledge/context layers.
- Apply AI to improve engineering efficiency, SDLC productivity, testing, documentation, analysis, and modernization outcomes.
- Internal references explicitly highlight Financial Services scenarios such as Insurance Underwriting AI, Conversational Banking, WAM Retirement Transformation, Regulatory Reporting, and SDLC AI.
SDLC / Platform Engineering / Engineering Governance
- Drive architecture and adoption of contemporary SDLC, Agile, DevSecOps, and platform engineering practices.
- Lead AI-assisted SDLC transformation, including areas such as code generation, requirements analysis, documentation, orchestration, testing, and secure engineering controls.
- Ensure solutions are built with architecture guardrails, security-by-design, automation, observability, and delivery quality governance.
- Internal AI engineering references explicitly call out SDLC AI, core SDLC AI agents, agentic orchestration, and secure SDLC controls.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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