Senior Vice President, Data Product Architect

• 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.

• 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