Senior Director, Fellow, Solution Architect

BNY Mellon•New York, NY

2d•$136,500

About The Position

We are seeking a hands-on Platform Architect with strong domain expertise across Custody, Wealth, and Asset Management to define, shape, and deliver modern platform architecture aligned to business and technology strategy. This role requires deep architectural capability combined with practical engineering credibility. The successful candidate will be expected to work closely with product, engineering, operations, data, and business stakeholders to design scalable, resilient, secure, and high-performing solutions across critical platforms. This is not a purely conceptual architecture role. We are looking for someone who remains technically hands-on, can guide engineering teams through complex implementation decisions, and is comfortable engaging from strategy through execution.

Requirements

Strong experience in platform architecture, solution architecture, and distributed systems design
Proven ability to design and deliver: Microservices and service-oriented architectures, Event-driven systems, API-first platforms, High-availability and resilient systems, Scalable batch and real-time processing solutions
Deep understanding of integration patterns, application decomposition, and modernization approaches
Strong software engineering background with ability to engage in hands-on technical work
Hands-on experience with Azure and/or AWS, including some combination of: Compute, storage, networking, and managed services, Cloud-native application design, Kubernetes / container platforms, Infrastructure as Code, Deployment automation, Security and identity integration, Cost, resilience, and operational design considerations in cloud environments
Strong understanding of data architecture and engineering patterns
Experience with: Data modeling, Data integration and transformation pipelines, Metadata and lineage concepts, Data quality and governance considerations, Analytical and operational data use cases
Ability to architect platforms that support both transactional and analytical workloads
Practical exposure to AI and GenAI, such as Integrating AI/ML or GenAI capabilities into enterprise workflows, Retrieval-augmented generation or knowledge retrieval patterns, LLM-enabled search, summarization, classification, or assistant use cases, Responsible AI, model governance, and secure enterprise adoption considerations, Working with structured and unstructured data to support intelligent applications
15 plus years in architecture and engineering roles within financial services or similarly complex regulated industries
Demonstrated experience delivering technology solutions in Custody, Wealth, and/or Asset Management
Track record of leading architecture for complex enterprise platforms and transformation initiatives
Experience balancing strategic design with practical implementation detail
Experience working in Agile / product-centric delivery environments
Strong stakeholder engagement skills across business, operations, and technology teams

Nice To Haves

Advanced degree preferred but not required

Responsibilities

Define and evolve platform architecture strategy for applications and services supporting Custody, Wealth, and Asset Management capabilities.
Translate business priorities, operating model objectives, and regulatory requirements into scalable architecture roadmaps.
Produce architecture blueprints, target-state designs, integration patterns, and modernization strategies.
Ensure alignment to enterprise architecture principles, security standards, resiliency expectations, and engineering best practices.
Lead architecture reviews and provide technical governance across solution design, delivery, and platform evolution.
Partner with business and product stakeholders to understand workflows, operating models, pain points, and transformation opportunities across Custody operations and servicing, Asset servicing, Portfolio administration, Wealth platforms and advisory capabilities, Asset management data and investment workflows, Client reporting, accounting, reconciliation, and operational controls.
Apply domain understanding to improve platform design, data flow, interoperability, and operational efficiency.
Support simplification and modernization of legacy workflows and platforms in highly controlled financial environments.
Remain actively involved in engineering and solution delivery, including prototyping, design validation, code reviews, technical troubleshooting, and implementation guidance.
Work with engineering teams on API design, system integration, event-driven architecture, data patterns, cloud deployment models, and observability.
Contribute to reference implementations, proof of concepts, and reusable architecture patterns.
Help teams solve complex production, performance, scalability, and integration issues.
Design and support deployment of applications and platforms on Azure and/or AWS.
Drive adoption of cloud-native services, containerization, infrastructure automation, and resilient distributed architecture patterns.
Partner with data teams to design robust data architecture, data pipelines, metadata strategies, and analytics-ready platforms.
Identify and shape use cases for AI / GenAI capabilities, including knowledge retrieval, intelligent workflow support, summarization, classification, and operational productivity improvements.
Ensure AI-enabled solutions are practical, governed, secure, and aligned to enterprise standards.
Champion engineering excellence including automation, CI/CD, testing, reliability, security-by-design, and performance optimization.
Drive modernization of legacy applications into modular, API-led, event-enabled, and cloud-compatible platforms.
Promote best practices in software design, observability, resiliency, release management, and operational readiness.
Collaborate with platform, infrastructure, security, and SRE teams to enable stable and scalable production ecosystems.
Work cross-functionally with architects, engineers, platform leads, data teams, cyber/security teams, and business leaders.
Communicate architecture decisions clearly to both technical and non-technical audiences.
Mentor engineers and junior architects, raising technical capability across teams.
Influence strategic technology decisions through expertise, credibility, and delivery focus.