Data Product Owner

Talentola; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Talentola is seeking a Data Product Owner to drive end-to-end data product development for asset and wealth management data domains. You will collaborate with business users to define data requirements and translate them into engineering deliverables, owning from conception through validation and deployment.

You will coordinate across data engineering and business stakeholders, lead build validation and UAT, and ensure consistent data quality, governance, and timely adoption of the data product

Qualifications

• Strong Asset Management domain experience is mandatory.
• Wealth Management experience acceptable if candidate worked with client/investor data and investment operations.
• 3-4 days/week in the New York office is required.
• Own data products end to end and work with business users.

Responsibilities

• Own and manage Client Master and Transaction Master data products.
• Translate business data needs into engineering deliverables.
• Participate in build validation and UAT/testing activities.
• Drive stakeholder adoption and champion the data product.
• Coordinate end-to-end delivery across business and technology teams.

Skills

Asset management domain experience

Wealth management data experience

SQL

Azure data platforms

Data governance

Data quality

Data profiling

Stakeholder management

UAT/testing

Tools

Snowflake

Databricks

Jira

Confluence

Power BI

Tableau

Job description

Mandate/Priority Requirements

• Strong Asset Management domain experience is mandatory
• Wealth Management experience is acceptable if the candidate has worked extensively with client/investor data and investment operations.
• Candidate must be willing to work 3-4 days/week from the New York office.
• Should work with business users, own data products end to end

Functional Expertise

• Experience owning or managing Client Master and Transaction Master data products.
• Strong understanding of investment data, investor/client onboarding, transactions, capital formation, investor reporting, fund operations, and related data domains.
• Hands-on experience with SQL, data profiling, data validation, reconciliation, data quality, and data analysis.
• Experience with Azure-based data platforms.

Product Ownership Expectations

• This is not a traditional Scrum Product Owner role, this is a Data Product Owner Role
• Candidate should be able to:
  • Work directly with business users and understand data needs.
  • Define requirements and translate them into engineering deliverables.
  • Participate in build validation and UAT/testing activities.
  • Drive stakeholder adoption and champion the data product.
  • Coordinate end-to-end delivery across business and technology teams.

Candidates from below companies:

• Blackstone, KKR, UBS, Merylinch , Ares, Carlyle, Brookfield, Blue Owl, BlackRock, Fidelity, Wellington, Franklin Templeton and similar investment firms

8 10 years of experience in data product management, data product ownership, or a closely related data-focused role within financial services; background in investment management or wealth management is strongly preferred

Proven track record of owning and delivering multiple data products simultaneously, including full roadmap ownership and end-to-end management of data transformation programs

Strong hands-on proficiency with data analysis and querying

Demonstrated experience managing large, complex datasets across enterprise data platforms (e.g., Snowflake, Databricks, or equivalent)

Working knowledge of data governance principles, data quality management, metadata management, and data lineage practices

Excellent communication skills-written, verbal, and visual-with the ability to translate complex data concepts into clear business language and present confidently to senior and executive leadership

Highly organized and detail-oriented; able to manage competing priorities independently, hold high personal standards, and deliver quality work with minimal supervision

Proficiency with product and project management tools such as Jira, Confluence, or equivalent

Preferred

Direct domain expertise in asset management or wealth management data (e.g., portfolio and position data, investor reporting, AUM and flows, trade and settlement data)

Demonstrated experience leveraging AI tools-including generative AI assistants, LLM-based workflows, or AI-powered analytics platforms-to accelerate data product development and analysis

Experience evaluating and managing third-party data vendors