Lead Data Product Owner — Financial Services

IMR Soft LLC

New York (NY)

On-site

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

IMR Soft LLC in New York seeks a Data Product Owner to bridge business stakeholders and data engineering, owning strategy, roadmap, and delivery of client data products powering key investment management functions. The ideal candidate has 8-10 years in data product management within financial services, strong SQL, hands-on data analysis, and the ability to present roadmaps to senior leaders.

This role requires partnering across Sales, Finance, Operations, and Engineering to translate data needs

Qualifications

  • 8-10 years of experience in data product management or closely related data-focused roles in financial services.
  • Proven track record of owning multiple data products end-to-end including roadmaps.
  • Strong hands-on data analysis and querying.
  • Experience with enterprise data platforms such as Snowflake or Databricks.
  • Excellent written, verbal, and visual communication; able to present to senior leadership.

Responsibilities

  • Own end-to-end product lifecycle for multiple enterprise data products (Client Master, Transaction Master, Product Master) from ideation through delivery and continuous improvement.
  • Define and communicate a prioritized product roadmap aligned to business objectives and data strategy.
  • Develop and manage detailed backlogs; write actionable user stories and acceptance criteria.
  • Define and track product KPIs, adoption metrics, and data quality benchmarks; iterate based on outcomes.

Skills

Data product management
Roadmap ownership
Stakeholder engagement
Data analysis
SQL querying

Tools

Snowflake
Databricks
Jira
Confluence

Job description

IMR Soft LLC in New York seeks a Data Product Owner to bridge business stakeholders and data engineering, owning strategy, roadmap, and delivery of client data products powering key investment management functions. The ideal candidate has 8-10 years in data product management within financial services, strong SQL, hands-on data analysis, and the ability to present roadmaps to senior leaders.

This role requires partnering across Sales, Finance, Operations, and Engineering to translate data needs

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