Hybrid Data Product Owner - Financial Services Platforms

SIDRAM TECHNOLOGIES; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

SIDRAM TECHNOLOGIES is seeking a Data Product Owner in New York, hybrid with three days onsite, to lead enterprise data products in Financial Services. You will bridge business stakeholders and data engineering, owning strategy, roadmap and delivery.

The role requires 15+ years in data product management, strong FS domain experience (asset/investment/wealth management), hands-on SQL, data governance, and fluency with data platforms like Snowflake or Databricks.

Qualifications

• 15+ years of Data Product Management / Product Ownership experience
• Strong Financial Services domain experience
• Asset Management / Investment Management / Wealth Management preferred
• Enterprise Data Product Ownership & Roadmap Management
• Client Master, Transaction Master, Product Master & foundational data
• Product Backlog, User Stories & Acceptance Criteria
• Strong hands‑on SQL & Data Analysis
• Large/complex datasets with Snowflake / Databricks or equivalent
• Data Governance & Data Quality Management
• Metadata Management & Data Lineage
• Master Data Management (MDM)
• Data Profiling, Anomaly Detection & Accuracy Validation
• Data Models, Pipelines & Enterprise Data Platforms
• Jira / Confluence / Agile
• Strong Stakeholder & Executive Communication
• Product KPIs, Adoption Metrics & Data Quality Benchmarks
• Roadmaps, Business Cases & Executive Presentations
• Ability to manage multiple enterprise data products independently

Skills

Data Product Mgmt

Financial Services

Asset/Investment Mgmt

Roadmap Management

SQL & Data Analysis

Snowflake Databricks

Data Governance

Data Quality

Metadata & Lineage

Master Data Mgmt

Data Modeling

Data Pipelines

Jira & Agile

Executive Communication

KPIs & Metrics

Tools

Jira

Confluence

Job description

SIDRAM TECHNOLOGIES is seeking a Data Product Owner in New York, hybrid with three days onsite, to lead enterprise data products in Financial Services. You will bridge business stakeholders and data engineering, owning strategy, roadmap and delivery.

The role requires 15+ years in data product management, strong FS domain experience (asset/investment/wealth management), hands-on SQL, data governance, and fluency with data platforms like Snowflake or Databricks.