Advisor Data Product Owner with Wealth Management Experience

• 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., 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

• Hands on Data Analysis, Advisor Data for Wealth Management (PFA Document), * 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