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Manager Data Product Owner Jobs (NOW HIRING)

Jj

Manager, Data Product Management

New Brunswick, NJ · On-site

Learn more at ( Manager, Data Product Management - Governance will support the delivery, adoption ... The position partners closely with business collaborators, data owners, technology teams ...

USAA

Senior Data Product Owner - Bank

San Antonio, TX · On-site +1

The Opportunity As a Senior Data Product Owner , you will be responsible for translating business ... Leverage existing change management routines, as needed. * Work with different technologies ...

TEKsystems

Data Product Manager

Kansas City, MO · Hybrid

$50.50 - $75/hr

You will also collaborate with business leaders, data owners, data stewards, product managers, solution architects, and business analysts to design high-impact data solutions. This is a subset of the ...

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How much do manager data product owner jobs pay per year?

As of Sep 2, 2026, the average yearly pay for manager data product owner in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Product Owner vs Data Analyst?

AspectManager Data Product OwnerData Analyst
CredentialsTypically requires experience in product management, data management, and certifications like Certified Scrum Product Owner (CSPO)Usually holds a degree in data science, statistics, or related fields; certifications like Microsoft Certified Data Analyst are common
Work EnvironmentLeads cross-functional teams, manages product lifecycle, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making through data insights
Employer & Industry UsageUsed in tech, finance, healthcare industries focusing on data products and solutionsCommon across industries for data-driven decision support

The Manager Data Product Owner focuses on managing data products, aligning them with business goals, and leading teams. In contrast, a Data Analyst primarily interprets data to generate insights. Both roles require strong data skills but differ in scope and responsibilities.

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Cities with the most Manager Data Product Owner job openings:

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Manager Data Product Owner jobs near you

Data Product Owner - Advisor Data (Wealth Management Data Team)

Spruce Infotech

Remote

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Data Product Owner - Advisor Data (Wealth Management Data Team)
Work Location: NYC or Fort Mill, SC (Hybrid)
Total Experience: 10 - 15 Years
Shift Details (Time): 9 - 5 (Regular Shift Time)
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
  1. Own Advisor Data requirements end to end.
  2. Independently drive discovery, analysis, documentation, and backlog readiness.
  3. Identify gaps, risks, data conflicts, and dependencies across advisor systems.
  4. Own delivery outcomes, data quality, timeliness, and lineage.

Advisor Data Domain Ownership
  1. Lead golden copy requirements across advisor/producer profile, licensing and registration, and book of business data.
  2. Define identifier mapping (rep/producer IDs, CRD numbers, branch/region codes) and de-duplication logic.
  3. Own sourcing, controls, and validation for licensing, registration, and continuing education data.
  4. Establish authoritative SOR (System of Record) and multi-SOR precedence, survivorship, and exception handling across compliance and compensation systems.
  5. Ensure data products are reusable across advisor workstation, CRM, compensation, and compliance consumers.

Stakeholder Collaboration & Requirement Elicitation
  1. Partner with advisory/sales leadership, compliance, compensation, vendor management, and technology teams.
  2. Lead conversations on data needs, sourcing, usage, and required controls.
  3. Document and validate requirements, assumptions, decisions, and known unknowns.

Data Analysis & Documentation
  1. Perform hands-on analysis of source systems (licensing/registration platforms, CRM, compensation engines) and vendor feeds.
  2. Identify data gaps, overlaps, reuse opportunities, and quality failure patterns.
  3. Produce BRDs, data intake documents, attribute definitions, lineage flows, and NFRs (Non-Functional Requirements).
  4. Partner with Data Governance and SOR teams on ownership, lineage, and standards.

Agile Delivery & Backlog Management
  1. Act as Product Owner for Agile delivery squads.
  2. Decompose requirements into epics, features, and implementation-ready Jira stories.
  3. Define inputs/outputs, events, schemas, quality rules, and change management.
  4. Own backlog prioritization, refinement, and sprint readiness.

Integration, Kafka & API Ownership
  1. Define delivery patterns using event streaming, APIs, and batch/file integrations as appropriate.
  2. Collaborate on topic strategy, schemas, versioning, replay, and retention.
  3. Ensure scalability, reuse, and alignment to enterprise data standards.

Governance, Risk & Controls
  1. Embed metadata, lineage, auditability, and traceability across advisor data flows.
  2. Define and enforce data quality controls, monitoring, and SLAs.
  3. Partner with compliance on entitlements, licensing constraints, and regulatory recordkeeping.
  4. Support auditability of advisor onboarding, transfers, and data changes.

Data Contracts & Standards
  1. Own canonical data contracts covering definitions, schemas, code sets, and survivorship.
  2. Define versioning and change management standards.
  3. Maintain accurate and complete BRDs and data intake documentation.

AI Usage
  1. Use AI responsibly to improve requirement quality and detect data quality patterns.
  2. Apply sound judgment with regulated, licensed, and sensitive advisor data.

Required Skills & Experience
  1. 8+ years in Financial Services, preferably in Wealth Management advisor/producer data domains.
  2. Strong familiarity with Wealth Management business processes, advisor workflows, and industry data (licensing, registration, compensation, book of business).
  3. Familiarity with advisor workstation platforms and their underlying data needs.
  4. Strong techno-functional background spanning business, data, and technology.
  5. Hands-on experience working with data in a data team - field-level data analysis, validation, and data quality investigation.
  6. Proven ability to write clear, implementation-ready Jira stories.
  7. Working knowledge of event streaming, APIs, batch integrations, schemas, and data quality controls.
  8. Self-starter with strong ownership and accountability mindset.

Mandatory skills
Business Analysis, Requirement Gathering, stakeholder engagement, cross-functional coordination, Hands on Data Analysis, Advisor data for Wealth Management
Desired skills
AI, Prior experience in large financial institutions

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