Data Product Manager

New York, NY, United States (On-site)

Contract (1 year)

Published 1 hour ago

Data Quality & Management

data mesh

data product management

data governance

master data management

Role Summary

We are seeking an experienced Data Product Manager to lead the strategy, development, and adoption of enterprise data products that support regulatory reporting, operational efficiency, commercialization initiatives, and future AI capabilities.

This role sits within a central data organization and focuses on building trusted, scalable data foundations across multiple business domains within a complex financial services environment.

The ideal candidate combines strong product management expertise with deep data domain knowledge and can translate enterprise data strategies into actionable product roadmaps, measurable outcomes, and business value.

Key Responsibilities

• Define and own the vision, strategy, roadmap, and success metrics for enterprise data products.
• Partner with business stakeholders, data teams, engineering teams, risk, compliance, and executive leadership to prioritize and deliver high-value data capabilities.
• Drive initiatives across data governance, data quality, master data management, data modernization, and data mesh architectures.
• Establish product KPIs, measure adoption, and continuously improve products based on user feedback and business outcomes.
• Develop user journeys, workflows, operating models, and product requirements that align with enterprise data strategies.
• Support the creation of trusted, governed, and reusable data assets that enable regulatory reporting, business operations, analytics, and AI use cases.
• Champion AI-enabled approaches to product development, including the use of metadata, governance frameworks, automated quality controls, and intelligent user experiences.
• Drive enterprise adoption of data products and ensure alignment across business units and functions.

Required Qualifications

• Extensive experience in Data Product Management within large, complex enterprise environments.
• Proven experience building and managing enterprise data products rather than solely delivering projects or programs.
• Strong understanding of data governance, data quality, master data management (MDM), data integration, canonical data models, and data product frameworks.
• Experience translating ambiguous business challenges into structured roadmaps, product requirements, and measurable outcomes.
• Ability to influence and align senior stakeholders across business, technology, risk, compliance, and operations functions.
• Experience working in regulated industries, preferably financial services.

Required Technical Skills

• Data Product Management
• Data Governance
• Data Quality Management
• Master Data Management (MDM)
• Data Mesh
• Data Modernization
• Data Integration
• KPI and Product Metrics Development
• Roadmap Strategy & Prioritization
• AI-Enabled Product Development

The pay range that the employer in good faith reasonably expects to pay for this position is $74.74/hour - $116.79/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information.

In addition, job duties require access to secure and protected client information technology systems and related data security obligations.