Senior Data Product Owner

Invisible Technologies; New York (NY); Hybrid; USD 164,000 - 212,000; Full time

Benefits offered by this job

Bonuses and equity included

Job summary

Invisible Technologies is seeking a seasoned Data Product Owner to embed with a strategic financial services client, owning data strategy, roadmap, and delivery for key enterprise datasets.

You’ll balance strategic thinking with meticulous execution across data quality and governance, partnering with Sales, Finance, and Engineering. This role requires 8–10 years in data product management and onsite work at the NYC office.

Qualifications

• 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

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

Job description

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.

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.

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.

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.

About The Role

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.

What You’ll Do

• 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

What We Need

Required:

• 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

Nice‑to‑have:

• 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

What’s In It For You

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.

What It’s Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world‑class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front‑row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in‑office collaboration and are tied to specific locations. Any location‑based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we’ve outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision‑maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision‑making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision‑making please contact us.