Senior Director, Data Delivery Lead

About the role

BNY is seeking a highly effective Data Delivery Engineer to architect, build, and scale modern data products and platform capabilities across a complex, multi-business environment. This role requires a strong blend of hands-on engineering execution, platform architecture, strategic roadmap leadership, and organizational influence. The successful candidate will bring deep experience delivering enterprise-grade data solutions using modern technologies while also helping shape the target-state architecture for a scalable, resilient, and reusable data platform. This individual must be equally comfortable building software, driving technical direction, partnering across functions, and influencing platform decisions that extend beyond their immediate team.

The Successful Candidate Will: Deliver modern, scalable data products with strong engineering rigor; help define and implement the architecture for a large-scale multi-business data platform; drive strategic roadmap execution while balancing immediate delivery needs; influence engineering and platform direction across organizational boundaries; bring a product-oriented mindset to data, with strong focus on usability, quality, and business value; operate with a high degree of ownership, collaboration, and accountability.

Responsibilities

• Engineering Delivery: Design, build, test, deploy, and support high-quality data products and platform capabilities for enterprise use cases.
• Deliver scalable and reliable software solutions across batch, near-real-time, and event-driven data patterns, as needed.
• Apply strong software engineering discipline, including code quality, automated testing, CI/CD, observability, and documentation.
• Drive engineering excellence across the delivery lifecycle, with a focus on stability, maintainability, performance, and reuse.
• Ensure data solutions are production-ready and aligned to enterprise standards for security, resiliency, and operational support.
• Data Product and Platform Development: Build modern data products that are consumable, well-governed, and aligned to business and platform objectives.
• Contribute to the design and evolution of a large-scale, multi-business data platform supporting diverse data domains and consumption models.
• Define and implement scalable patterns for ingestion, transformation, storage, metadata, lineage, access management, and delivery.
• Develop reusable services, frameworks, and engineering patterns that accelerate delivery across teams.
• Support cloud and hybrid data architectures using modern storage and compute approaches.
• Architecture and Technical Leadership: Architect enterprise-scale data capabilities leveraging Snowflake, Apache Iceberg, Oracle Exadata, Azure, and other relevant technologies.
• Evaluate current-state architecture, identify opportunities for simplification and modernization, and recommend target-state solutions.
• Make sound design decisions that balance business outcomes, risk management, scalability, cost, and speed of execution.
• Contribute to enterprise engineering standards, architecture patterns, and platform guardrails.
• Lead through technical depth, strong judgment, and the ability to convert strategy into practical engineering outcomes.
• Strategic Roadmap and Organizational Influence: Translate business priorities and platform strategy into actionable technical roadmaps and