<div class="content-intro"><h2><strong>About Invisible</strong></h2> <p>Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.</p> <p>Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.</p> <p>Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.</p> <p>Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.</p></div><h2><strong>About The Role</strong></h2> <p>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.</p> <h2><strong>What You’ll Do</strong></h2> <ul> <li><strong>Product Ownership & Roadmap: </strong>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</li> <li><strong>Stakeholder Engagement: </strong>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</li> <li><strong>Data Analysis & Quality: </strong>Perform hands-on dataset profiling, anomaly identification, and lineage validation across large, complex financial datasets; define and enforce data quality and governance standards</li> <li><strong>Executive Communication: </strong>Present roadmaps, business cases, and updates to senior leadership; manage stakeholder expectations and communicate trade-offs, building trusted relationships at all levels</li> <li><strong>Cross-Functional Delivery:</strong> Manage dependencies, risks, and blockers across workstreams; evaluate data tools and vendors; champion data literacy so business teams understand and trust their data</li> </ul> <h2>What We Need</h2> <p><strong>Required: </strong></p> <ul> <li>8–10 years in data product management or ownership within financial services; background in asset or wealth management strongly preferred</li> <li>Proven track record owning and delivering multiple data products simultaneously, including end-to-end data transformation programs</li> <li>Strong hands-on data analysis and querying skills across large enterprise platforms (Snowflake, Databricks, or equivalent)</li> <li>Working knowledge of data governance, data quality management, metadata management, and data lineage practices</li> <li>Excellent written, verbal, and visual communication skills, with the ability to translate complex data concepts for senior and executive audiences</li> <li>Highly organized and detail-oriented; able to manage competing priorities independently with minimal supervision</li> <li>Proficiency with product/project management tools such as Jira, Confluence, or equivalent</li> <li>Ability to work onsite at our NYC office 3+ days per week</li> </ul> <p><strong>Nice-to-have:</strong></p> <ul> <li>Direct domain expertise in asset or wealth management data — portfolio and position data, investor reporting, AUM & flows, trade and settlement data</li> <li>Experience leveraging AI tools — generative AI assistants, LLM-based workflows, or AI-powered analytics</li> <li>Experience evaluating and managing third-party data vendors</li> </ul> <h2><strong>What’s In It For You</strong></h2> <p>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.</p> <p>The annual salary range for this position is: <strong>$164,000 - $212,000</strong></p><div class="content-conclusion"><p>You can find more information about our geographic pay tiers <strong><a class="c-link" href="https://invisibletech.ai/compensation-and-pay-tiers" target="_blank" data-stringify-link="https://invisibletech.ai/compensation-and-pay-tiers" data-sk="tooltip_parent">here</a>.</strong> 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.<br><br>*Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors