Senior Vice President, Data Product Architect

BNY Mellon•New York, NY

10d•$120,000 - $200,000•Onsite

About The Position

We are seeking a Senior Vice President, Business Data Architect to turn our Reference Data strategy into practical business architecture, operating models and engineering-ready requirements. The initial focus will be the relationships among Client, Party, Legal Entity, Contract, Product, Service, Enterprise Account, domain accounts and investment structures. This role is based in New York, NY. In this role, you’ll make an impact by: Business Architecture and Reference Data Design Define conceptual and logical models for Party, Client, Legal Entity, Account, Contract, Product, Service, Instrument and related hierarchies. Model complex legal, commercial, servicing and operational relationships across Asset Servicing. Define enterprise identifier, cross-reference, entity-resolution, hierarchy and effective-dating patterns. Translate business outcomes and representative scenarios into testable rules and requirements. Define authoritative-source, registry and Reference Data distribution patterns. Operating Model and Adoption Define how Reference Data is requested, created, matched, approved, enriched, changed, linked and retired. Establish ownership and decision rights across Product, Operations, Data, UCM, CRM and servicing platforms. Design match, resolve or create rules, including stewardship, controls, exceptions and escalation. Develop reusable transition and adoption patterns for additional business domains. Data Analysis and Engineering Partnership Use SQL and data profiling to validate relationships, hierarchies, business rules and data-quality assumptions. Analyze duplicate, incomplete and conflicting identifiers and trace representative records across systems. Develop lightweight prototypes to test architecture hypotheses and accelerate decisions. Translate the architecture into functional requirements, mappings, acceptance criteria and controls. Partner with Engineering on options, dependencies, sequencing and implementation trade-offs.

Requirements

Significant experience in Reference Data, Master Data, Business Data Architecture or Information Architecture.
Demonstrated experience designing complex party, client, account or relationship models.
Experience defining authoritative-source and lifecycle-management models, global identifiers, entity resolution, golden-record or registry patterns.
Experience translating business scenarios into engineering-ready requirements.
Experience partnering directly with Product, Operations, Architecture and Engineering.
Strong conceptual, logical, hierarchy, relationship and effective-dated modeling skills.
Experience designing Reference Data lifecycle, stewardship, data-quality and control processes.
Strong SQL and hands-on data-profiling capabilities.
Ability to connect business outcomes, operating processes, data models and engineering requirements.
Ability to lead focused design sessions, influence without authority and move stakeholders toward decisions.
Pragmatic judgment and the ability to distinguish working hypotheses from approved decisions.
Bachelor’s degree in computer science or a related discipline, or equivalent work experience required
10-12 years of related experience in data management services required; experience in Asset Servicing, Fund Accounting, Custody, Middle Office, Transfer Agency, Wealth Management or Capital Markets

Responsibilities

Define conceptual and logical models for Party, Client, Legal Entity, Account, Contract, Product, Service, Instrument and related hierarchies.
Model complex legal, commercial, servicing and operational relationships across Asset Servicing.
Define enterprise identifier, cross-reference, entity-resolution, hierarchy and effective-dating patterns.
Translate business outcomes and representative scenarios into testable rules and requirements.
Define authoritative-source, registry and Reference Data distribution patterns.
Define how Reference Data is requested, created, matched, approved, enriched, changed, linked and retired.
Establish ownership and decision rights across Product, Operations, Data, UCM, CRM and servicing platforms.
Design match, resolve or create rules, including stewardship, controls, exceptions and escalation.
Develop reusable transition and adoption patterns for additional business domains.
Use SQL and data profiling to validate relationships, hierarchies, business rules and data-quality assumptions.
Analyze duplicate, incomplete and conflicting identifiers and trace representative records across systems.
Develop lightweight prototypes to test architecture hypotheses and accelerate decisions.
Translate the architecture into functional requirements, mappings, acceptance criteria and controls.
Partner with Engineering on options, dependencies, sequencing and implementation trade-offs.