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Data Product Owner – Reference Data, Security Master & Market Data (Wealth Manag

Ampstek, New York, NY, United States


Data Product Owner – Reference Data, Security Master & Market Data (Wealth Management)

NYC or Fort Mill, SC-Hybrid

Contract

Role Summary
We are seeking a highly independent Techno Functional Data Product Owner to lead Reference Data, Security Master, and Market Data for Wealth Management. This role spans instrument and issuer/entity data, security lifecycle, identifiers and symbology (CUSIP/ISIN/SEDOL/ticker), pricing and valuations, corporate actions, and market data vendor onboarding and controls. 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 trading, portfolio, operations, risk, compliance, and engineering teams to deliver accurate, well governed reference and market data powering OMS/PMS, performance, risk, reporting, and digital channels.

Key Responsibilities
End to End Product Ownership

Own Reference Data, Security Master, and Market Data requirements end to end

Independently drive discovery, analysis, documentation, and backlog readiness

Identify gaps, risks, survivorship conflicts, and data dependencies

Own delivery outcomes, data quality, timeliness, and lineage

Reference Data, Security Master & Market Data Domain Ownership

Lead golden copy requirements across instrument, issuer/entity, pricing, and corporate actions

Define identifier mapping, symbology cross references, and de duplication logic

Own pricing and valuation sourcing, controls, and tolerance checks

Establish authoritative SOR and multi SOR precedence, survivorship, and exception handling

Ensure data products are reusable across trading, risk, reporting, and digital consumers

Stakeholder Collaboration & Requirement Elicitation

Partner with business, operations, risk, compliance, 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, vendor feeds, and integrations

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

Embed metadata, lineage, auditability, and traceability across data flows

Define and enforce data quality controls, monitoring, and SLAs

Partner with compliance and security on entitlements and licensing constraints

Support auditability of onboarding 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 data

Required Skills & Experience

8+ years in Financial Services, preferably in Wealth Management data domains

Strong techno functional background spanning business, data, and technology

Hands on data analysis and field level validation experience

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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