Senior Director – Information Delivery & Intelligence
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 7, 2026. BNY scores B on the Alion truth index.
At BNY, our culture allows us to run our company better and enables employees’ growth and success.As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Senior Director - Information Delivery & Intelligence to join our Asset Servicing team. This role is located in NYC, NY.
In this role, you’ll make an impact in the following ways:
Our Team
Asset Servicing is building trusted, reusable and AI-ready data products that improve client experience, support commercial growth and enable more intelligent operations.
The Information Delivery & Intelligence team is responsible for delivering strategic data products through ODS, Vault, APIs and other approved channels, while demonstrating their value through analytics, business intelligence and AI-enabled use cases.
Job Summary
We are seeking a Senior Director to lead the Information Delivery & Intelligence pillar across Asset Servicing.
This leader will own the portfolio, roadmap and team responsible for delivering trusted data products, enabling modern information delivery and developing high-impact analytics and AI use cases.
The successful candidate will combine commercial judgment, technical leadership and delivery discipline. Success will be measured through implemented capabilities, active adoption and measurable client, commercial and operational outcomes.
Key Responsibilities
- Lead the Information Delivery & Intelligence portfolio, roadmap, team and delivery commitments.
- Establish the Asset Servicing data-product inventory and delivery plans across ODS, Vault, APIs, the marketplace and other approved channels.
- Deliver standardized, canonical and production-ready data products that support client servicing, reporting, revenue realization and operational measurement.
- Translate business priorities into reusable data products and cross-platform information capabilities.
- Partner with Product, Operations, Client Service, Channels and Engineering to accelerate adoption and active consumption.
- Track delivery, adoption, business value and retirement of redundant datasets and legacy delivery paths.
Intelligence, Mesh and AI Enablement
- Drive adoption of Eliza Mesh across Asset Servicing platforms and data products.
- Develop cross-platform information products, analytics and AI-enabled capabilities that address high-value business and client needs.
- Lead lighthouse use cases that demonstrate commercial value, improve client experience or increase operational effectiveness.
- Build the business context and semantic capabilities required for intelligent search, copilots, agents and decision support.
- Partner with platform teams to incubate use cases and transition mature capabilities into the appropriate platform operating model.
Governance-by-Design and Production Readiness
- Embed metadata, data quality, lineage, enterprise keys and data contracts into data-product delivery workflows.
- Automate registration, certification and control evidence to reduce manual governance effort.
- Establish production-readiness requirements covering monitoring, service expectations, issue routing and support.
- Partner with Data Operations and Platform Data Leaders to identify control gaps, assign remediation owners and track completion.
- Build reusable onboarding and integration patterns that accelerate delivery into Eliza Mesh and strategic information channels.
Leadership Responsibilities
- Lead and develop a multidisciplinary team spanning data-product delivery, Mesh integration, marketplace enablement, business intelligence, data science and delivery execution.
- Set priorities and hold the team accountable for delivery, adoption and measurable business outcomes.
- Maintain clear ownership boundaries between enterprise enablement and platform-specific responsibilities.
- Communicate progress, risks, dependencies and investment needs to senior leadership.
- Build a culture focused on implementation, automation, experimentation and value realization.
To be successful in this role, we’re seeking the following:
- Bachelor’s degree or equivalent combination of education and experience.
- 15+ years of experience in the finance industry.
- Proven experience leading enterprise data products, information platforms, analytics or digital capabilities.
- Demonstrated ability to connect data investments to commercial, client and operational outcomes
- Experience leading multidisciplinary technical and product teams.
- Strong understanding of modern data architecture, Data Mesh, cloud platforms and information-delivery patterns.
- Experience translating business problems into scalable, production-ready capabilities.
- Knowledge of metadata, lineage, data quality, enterprise identifiers and data contracts.
- Experience delivering analytics-ready, AI-ready or customer-facing data capabilities.
- Demonstrated ability to move capabilities from concept through production and sustained adoption.
- Strong executive communication and stakeholder-management skills.
- The role requires hands-on technical leadership and the ability to challenge designs and support rapid prototyping. It is not a strategy, PMO or coordination position
Technical Experience Strongly Preferred:
- Snowflake, Databricks and modern cloud-data platforms
- ODS, data products and Data Mesh architectures
- Python, SQL, APIs and workflow automation
- Metadata, lineage and data-catalog technologies
- Business intelligence, analytics and semantic layers
- AI, semantic search, vector databases and enterprise-intelligence solutions
- CI/CD pipelines, event-driven integration and production monitoring
BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer.Minorities/Females/Individuals with Disabilities/Protected Veterans.Our ambition is to build the best global team - one that is representative and inclusive of the diverse talent, clients and communities we work with and serve - and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.