Product Owner - Data

We are seeking an experienced Data Product Owner to lead enterprise data products supporting critical business, client, and investment management functions. This is a hands-on role requiring strong experience working with both business stakeholders and data engineering teams. The ideal candidate should be comfortable owning product strategy and roadmaps while also performing hands-on data analysis using SQL and enterprise data platforms., Own the end-to-end lifecycle of enterprise data products such as Client Master, Transaction Master, Product Master, and other foundational datasets. Define and manage product roadmaps, priorities, backlogs, user stories, and acceptance criteria. Work closely with business, finance, operations, data, and engineering teams to gather and translate requirements. Conduct discovery sessions and identify business and data challenges. Perform hands-on data analysis, data profiling, validation, anomaly detection, and data quality checks. Define data quality standards, governance requirements, metadata, data dictionaries, and lineage. Work with data engineers and architects on data models, pipelines, and platform design. Define and track product KPIs, adoption metrics, and data quality measures. Present product roadmaps, business cases, and project updates to senior leadership. Manage multiple data products, priorities, risks, dependencies, and stakeholders simultaneously. Leverage AI and automation tools to improve data analysis and product delivery., Lead strategic partnerships and drive transformative growth at Amazon Ads. As an AI Tech BD Sr. Manager, you will join the leadership team to focus on leading strategic deals, part…

• 1 day ago

8 10+ years of experience in Data Product Management, Data Product Ownership, or similar data-focused roles. Strong experience within Financial Services. Experience in Asset Management or Wealth Management is highly preferred. Proven experience owning and delivering multiple enterprise data products. Strong hands-on SQL and data analysis skills. Experience working with large and complex enterprise datasets. Experience with platforms such as Snowflake, Databricks, or similar technologies. Strong understanding of: Data Governance Data Quality Metadata Management Data Lineage Enterprise Data Models Experience with Jira, Confluence, or similar product/project management tools. Excellent stakeholder management and executive communication skills. Ability to work independently in a fast-paced environment. Preferred Experience Asset Management or Wealth Management data experience. Portfolio, position, AUM, flows, investor reporting, trade, or settlement data. Generative AI, LLM-based workflows, or AI-powered analytics tools. Third-party data vendor evaluation and management. Important This is a Full-Time / Permanent opportunity. Candidates must be visa independent and able to work in the United States without employer sponsorship now or in the future.

Cella

• New York City, NY

• $80,000-100,000 per year Location: New York, New YorkJob Type: PermanentCompensation Range: $80,000 - 100,000 per yearYou will lead the social strategy and digital community growth for an industry-leading …

• 6 days ago +

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers …