PRODUCT OWNER- DATA PLATFORMS

LevelUP HCS; New York (NY); On-site; USD 140,000 - 170,000; Full time

Job summary

LevelUP HCS is seeking an experienced Product Owner - Data Platforms to lead a multi-year data modernization initiative. You will shape data products, master/reference data, and BI capabilities powering internal operations and client solutions.

You will translate business needs into user stories, work with Data Engineering and analytics teams on data pipelines, APIs, and governance, and ensure data quality, lineage, and regulatory compliance across enterprise systems.

Qualifications

• Bachelor's degree in a related field; advanced degree preferred.
• 7+ years as Product Owner/PM in data, analytics, technology, or financial systems.
• Experience with enterprise data platforms (data warehouses/lakes/lakehouse).
• Strong knowledge of reporting BI platforms (Power BI, Tableau, Looker).
• Understanding of ETL/ELT, APIs, data integration, and event-driven architectures.
• Experience with Master Data Management and reference data.
• Ability to translate business requirements into user stories and data requirements.
• Excellent communication and stakeholder management skills.

Responsibilities

• Own and manage the data platforms backlog and prioritize initiatives.
• Define and evolve enterprise data products including master/reference data.
• Collaborate with Data Engineering, Analytics, and Finance to define reporting requirements.
• Drive data quality, governance, lineage, and controls across systems.
• Support data pipelines, APIs, and data integrations.
• Balance modernization with legacy platform transformation while maintaining reporting continuity.

Skills

Data platforms

Power BI

Tableau

Looker

MDM

Data governance

ETL/ELT

APIs

Data lineage

Backlog management

Stakeholder management

Agile delivery

Financial data

Data integration

Education

Bachelor's degree

Advanced degree

Tools

Power BI

Job description

Our client is seeking an experienced Product Owner - Data Platforms to join their Product Management team and play a critical role in a multi-year data modernization initiative.

This is an exciting opportunity for a data-focused product leader to help strengthen enterprise data platforms, reporting capabilities, business intelligence, and integration architecture. The Product Owner will be responsible for defining and delivering scalable, high-quality data products that support both internal operations and client-facing solutions.

The ideal candidate will bring a strong background in data platforms, financial systems, business intelligence, reporting, and data integration, along with the ability to manage a complex product backlog and translate business needs into actionable technology solutions.

Key Responsibilities

• Own and manage the data platforms product backlog, prioritizing initiatives across master/reference data, reporting, business intelligence, and data integration.
• Define and evolve enterprise data products, including:
• Master and reference data
• Client and account data
• Reporting and regulatory datasets
• Business intelligence and analytics enablement layers
• Translate business requirements into detailed user stories, data requirements, and acceptance criteria for engineering and data teams.
• Partner with Finance, Operations, and business stakeholders to define reporting and analytics requirements.
• Collaborate with Data Engineering and Application Development teams to support data pipelines, data services, APIs, and application integrations.
• Drive data quality, governance, consistency, lineage, and controls across enterprise systems.
• Support scalable data integration using APIs, ETL/ELT, and event-driven architectures.
• Lead prioritization of BI and reporting capabilities, including dashboards, datasets, and semantic layers.
• Monitor platform performance, adoption, and data usability while identifying opportunities for continuous improvement.
• Balance modernization initiatives with legacy platform transformation while maintaining continuity of critical reporting capabilities.
• Serve as the voice of the business for data, communicating priorities, tradeoffs, progress, and business value to leadership and cross-functional teams.
• Ensure data products and processes meet applicable regulatory, financial, security, auditability, and compliance requirements.

Qualifications

• Bachelor's degree in Business, Computer Science, Engineering, or a related field; advanced degree preferred.
• 7+ years of experience as a Product Owner, Product Manager, Business Analyst, or similar role within data, analytics, technology, or financial systems.
• Strong experience working with enterprise data platforms, including data warehouses, data lakes, or lakehouse architectures.
• Experience with Master Data Management (MDM) and reference data.
• Strong knowledge of reporting and business intelligence platforms such as Power BI, Tableau, or Looker.
• Understanding of ETL/ELT, APIs, data integration, and event-driven architectures.
• Experience working with financial data domains, such as:
• Client and account data
• Transactions
• Balances
• Regulatory reporting
• Understanding of data governance, data quality, metadata management, and data lineage.
• Demonstrated ability to partner effectively with Data Engineering, Analytics, Application Development, Finance, and business teams.
• Strong analytical and problem-solving skills with the ability to translate complex business and data requirements into clear deliverables.
• Excellent communication, stakeholder management, and prioritization skills.
• Experience within financial services, fintech, banking, investment management, or a related environment is strongly preferred.

What You'll Bring

The successful candidate will be a strategic and hands-on product leader who can operate comfortably between business stakeholders and technical teams. You should be able to understand complex data environments, establish clear priorities, drive agile delivery, and ensure that data products deliver measurable business value.

If you are passionate about data products, modernization, analytics, and building scalable enterprise data capabilities, this is an excellent opportunity to make a significant impact.