Position : Advisor Data Product Owner with Wealth Management Experience
Location : USA (NYC or Fort Mill, SC) Hybrid
Duration : Long Term Contract
Mandatory skills*
- Hands on Data Analysis, Advisor Data for Wealth Management (PFA Document)
Role Summary
- We are seeking a highly independent Techno Functional Data Product Owner to lead Advisor Data for Wealth Management.
- This role spans advisor and producer profile data, licensing and registration, book of business and household/relationship mapping, compensation and grid data, organizational/branch hierarchy, and advisor workstation and CRM data integration. The role requires strong hands-on data analysis, deep understanding of wealth business processes, and the ability to translate requirements into implementation-ready technical deliverables with minimal supervision.
- The role operates autonomously, owns outcomes end to end, and partners with advisory/sales leadership, compliance, compensation, operations, risk, and engineering teams to deliver accurate, well-governed advisor data powering advisor workstations, CRM, compensation systems, compliance surveillance, and reporting.
Key Responsibilities
End to End Product Ownership
- Own Advisor Data requirements end to end
- Independently drive discovery, analysis, documentation, and backlog readiness
- Identify gaps, risks, data conflicts, and dependencies across advisor systems
- Own delivery outcomes, data quality, timeliness, and lineage
Advisor Data Domain Ownership
- Lead golden copy requirements across advisor/producer profile, licensing and registration, and book of business data
- Define identifier mapping (rep/producer IDs, CRD numbers, branch/region codes) and de-duplication logic
- Own sourcing, controls, and validation for licensing, registration, and continuing education data
- Establish authoritative SOR and multi-SOR precedence, survivorship, and exception handling across compliance and compensation systems
- Ensure data products are reusable across advisor workstation, CRM, compensation, and compliance consumers
Stakeholder Collaboration & Requirement Elicitation
- Partner with advisory/sales leadership, compliance, compensation, vendor management, and technology teams
- Lead conversations on data needs, sourcing, usage, and required controls
- Document and validate requirements, assumptions, decisions, and known unknowns
Data Analysis & Documentation
- Perform hands-on analysis of source systems (licensing/registration platforms, CRM, compensation engines) and vendor feeds
- Identify data gaps, overlaps, reuse opportunities, and quality failure patterns
- Produce BRDs and data intake documents, attribute definitions, lineage flows, and NFRs
- Partner with Data Governance and SOR teams on ownership, lineage, and standards
Agile Delivery & Backlog Management
- Act as Product Owner for Agile delivery squads
- Decompose requirements into epics, features, and implementation-ready Jira stories
- Define inputs/outputs, events, schemas, quality rules, and change management
- Own backlog prioritization, refinement, and sprint readiness
Integration, Kafka & API Ownership
- Define delivery patterns using event streaming, APIs, and batch/file as appropriate
- Collaborate on topic strategy, schemas, versioning, replay, and retention
- Ensure scalability, reuse, and alignment to enterprise data standards
Governance, Risk & Controls
- Embed metadata, lineage, auditability, and traceability across advisor data flows
- Define and enforce data quality controls, monitoring, and SLAs
- Partner with compliance on entitlements, licensing constraints, and regulatory recordkeeping
- Support auditability of advisor onboarding, transfers, and data changes
Data Contracts & Standards
- Own canonical data contracts covering definitions, schemas, code sets, and survivorship
- Define versioning and change management standards
- Maintain accurate and complete BRDs and intake documentation
AI Usage
- Use AI responsibly to improve requirement quality and detect data quality patterns
- Apply sound judgment with regulated, licensed, and sensitive advisor data
Required Skills & Experience
- 8+ years in Financial Services, preferably in Wealth Management advisor/producer data domains
- Strong familiarity with Wealth Management business processes, advisor workflows, and industry data (licensing, registration, compensation, book of business)
- Familiarity with advisor workstation platforms and their underlying data needs
- Strong techno functional background spanning business, data, and technology
- Hands-on experience working with data in a data team field-level data analysis, validation, and quality investigation
- Proven ability to write clear, implementation-ready Jira stories
- Working knowledge of event streaming, APIs, batch integrations, schemas, and data quality controls
- Self-starter with strong ownership and accountability mindset
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