DATA PRODUCT OWNER

Globespan; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

Globespan is seeking a Data Product Owner to bridge business stakeholders and data engineering teams, owning strategy, roadmap, and delivery of enterprise data products in a financial services setting.

The role emphasizes hands-on data analysis with a strong background in asset/investment wealth management, data quality, governance, and collaboration across cross-functional teams. A data-driven leader will drive product delivery and continuous improvements.

Qualifications

• 8–10 years in Data Product Management in Financial Services.
• Asset management/investment management/wealth management experience preferred.
• Hands-on SQL and data analysis proficiency.
• Experience with enterprise data products and roadmaps.

Responsibilities

• Own end-to-end lifecycle of multiple enterprise data products.
• Define and communicate roadmaps aligned with data strategy.
• Manage backlogs, user stories, and acceptance criteria.
• Define KPIs, adoption metrics, and data quality benchmarks.
• Collaborate with Sales, Finance, Operations, and Engineering teams.

Skills

SQL

Data analysis

Stakeholder management

Agile methods

Tools

Snowflake

Databricks

Jira

Confluence

Job description

We are seeking a highly capable and self-driven Data Product Owner to join a Data & Technology organization supporting complex financial services and investment management functions.

This individual will serve as the bridge between business stakeholders and technical data engineering teams, owning the strategy, roadmap, and delivery of enterprise data products.

The ideal candidate is a seasoned, hands-on data professional with strong experience in financial services, preferably asset management, investment management, or wealth management. The role requires someone who can balance strategic product ownership with hands-on data analysis and execution.

Key Responsibilities

• Own the end-to-end lifecycle of multiple enterprise data products, including Client Master, Transaction Master, Product Master, and other foundational datasets.
• Define, maintain, and communicate product roadmaps aligned with business priorities and enterprise data strategy.
• Manage product backlogs, user stories, acceptance criteria, and functional requirements.
• Define and track product KPIs, adoption metrics, and data quality benchmarks.
• Drive continuous product improvements based on stakeholder feedback and business outcomes.

Stakeholder Management & Requirements

• Partner with stakeholders across Sales, Finance, Operations, Enterprise Data, and Engineering teams.
• Conduct discovery sessions, workshops, and user interviews to identify business needs and pain points.
• Translate business requirements into clear and actionable product requirements for engineering teams.
• Manage stakeholder expectations, priorities, dependencies, and trade-offs.
• Prepare and present roadmap updates, business cases, and executive-level presentations.

Data Analysis & Quality

• Perform hands-on data analysis, including dataset profiling, anomaly identification, lineage validation, and accuracy checks.
• Define and maintain data quality standards, governance frameworks, and data dictionaries.
• Collaborate with Data Engineers and Architects to understand data models, pipelines, and platform infrastructure.
• Provide input into technical design decisions based on business and data requirements.
• Use AI and automation tools where appropriate to improve data analysis and product delivery efficiency.

Cross-Functional Collaboration

• Manage dependencies, risks, and blockers across multiple workstreams.
• Coordinate closely with business, product, data, and engineering teams.
• Evaluate data tools, platforms, and third-party vendors where required.
• Produce clear product documentation, executive summaries, and business cases.
• Drive accountability across business and technology teams to ensure successful delivery of data products.

Required Qualifications

• 8–10 years of experience in Data Product Management, Data Product Ownership, or a related data-focused role within Financial Services.
• Strong experience in Asset Management, Investment Management, or Wealth Management preferred.
• Proven experience owning and delivering multiple enterprise data products simultaneously.
• Strong hands-on experience with SQL and data analysis.
• Experience working with large and complex datasets across platforms such as Snowflake, Databricks, or equivalent.
• Strong understanding of:
• Data Governance
• Data Quality Management
• Metadata Management
• Master Data Management
• Experience managing product roadmaps, backlogs, user stories, and acceptance criteria.
• Experience with Agile tools such as Jira, Confluence, or equivalent.
• Excellent stakeholder management and communication skills.
• Ability to present complex data concepts clearly to senior and executive leadership.
• Highly organized and capable of managing multiple priorities independently.

Preferred Qualifications

• Experience with financial data domains such as: