Senior Data Product Owner at Invisible Technologies in New York - Hybrid

Job description

• We're seeking a seasoned, hands-on Data Product Owner to embed with a strategic client in financial services, as the bridge between business stakeholders and technical data engineering teams. You'll own the strategy, roadmap, and delivery of data products that power critical client-facing and investment management functions, balancing strategic thinking with meticulous execution across data quality and governance.

Responsibilities

• Product Ownership & Roadmap: Own the end-to-end lifecycle of core enterprise data products — Client Master, Transaction Master, Product Master, and other foundational datasets — maintaining a prioritized roadmap, detailed backlogs, and clear user stories, acceptance criteria, and KPIs
• Stakeholder Engagement: Partner with Sales, Finance, Operations, the Enterprise Data Office, and Engineering to surface data needs; run discovery workshops and interviews to define the right problem before designing solutions
• Data Analysis & Quality: Perform hands-on dataset profiling, anomaly identification, and lineage validation across large, complex financial datasets; define and enforce data quality and governance standards
• Executive Communication: Present roadmaps, business cases, and updates to senior leadership; manage stakeholder expectations and communicate trade-offs, building trusted relationships at all levels
• Cross-Functional Delivery: Manage dependencies, risks, and blockers across workstreams; evaluate data tools and vendors; champion data literacy so business teams understand and trust their data

Requirements

• 8–10 years in data product management or ownership within financial services; background in asset or wealth management strongly preferred
• Proven track record owning and delivering multiple data products simultaneously, including end-to-end data transformation programs
• Strong hands-on data analysis and querying skills across large enterprise platforms (Snowflake, Databricks, or equivalent)
• Working knowledge of data governance, data quality management, metadata management, and data lineage practices
• Excellent written, verbal, and visual communication skills, with the ability to translate complex data concepts for senior and executive audiences
• Highly organized and detail-oriented; able to manage competing priorities independently with minimal supervision
• Proficiency with product/project management tools such as Jira, Confluence, or equivalent
• Ability to work onsite at our NYC office 3+ days per week
• Direct domain expertise in asset or wealth management data — portfolio and position data, investor reporting, AUM & flows, trade and settlement data
• Experience leveraging AI tools — generative AI assistants, LLM-based workflows, or AI-powered analytics
• Experience evaluating and managing third-party data vendors

Skills

Required

• Data product management
• Data ownership
• Data analysis
• Data governance
• Data quality management
• Metadata management
• Data lineage
• Communication (written, verbal, visual)
• Organization
• Detail-oriented
• Jira
• Confluence

Preferred

• Third-party data vendor management

Benefits

• Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
• The annual salary range for this position is: $164,000 - $212,000
• You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
• *Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.