Senior Data Product Owner
About this role
Professionals who thrive in fast-moving, high-accountability environments where business strategy intersects with technical data engineering will find a strong fit at Invisible Technologies. The organization operates an end-to-end AI platform that structures data, automates digital workflows, and integrates human expertise for major technology companies and industry leaders.
In this role, the product owner embeds with a strategic client in the financial services sector to serve as the primary link between business stakeholders and data engineering teams. Responsibilities include taking full ownership of the product lifecycle for foundational datasets like Client Master and Transaction Master while driving roadmaps, managing backlogs, and ensuring rigorous data governance standards are maintained.
The position suits individuals who balance strategic thinking with hands-on dataset profiling and execution. Candidates must be comfortable navigating ambiguity, communicating complex technical concepts to senior leadership, and working on-site at the New York office for a hybrid schedule.
What you will do
- Own the end-to-end lifecycle of core enterprise data products including Client Master, Transaction Master, and Product Master by maintaining prioritized roadmaps and detailed backlogs.
- Partner with Sales, Finance, Operations, the Enterprise Data Office, and Engineering to surface data needs and run discovery workshops.
- Perform hands-on dataset profiling, anomaly identification, and lineage validation across complex financial datasets while defining data quality standards.
- Present roadmaps, business cases, and updates to senior leadership while managing stakeholder expectations and trade-offs.
- Manage dependencies, risks, and blockers across workstreams and evaluate data tools and vendors.
- Champion data literacy across business teams so they can understand and trust their data.
What you need
- Bring 8 to 10 years of experience in data product management or ownership within financial services.
- Demonstrate a proven track record of owning and delivering multiple data products simultaneously, including end-to-end data transformation programs.
- Possess strong hands-on data analysis and querying skills across large enterprise platforms like Snowflake or Databricks.
- Apply working knowledge of data governance, data quality management, metadata management, and data lineage practices.
- Exhibit excellent written, verbal, and visual communication skills suitable for senior and executive audiences.
- Manage competing priorities independently with minimal supervision while remaining highly organized and detail-oriented.
- Demonstrate proficiency with product and project management tools such as Jira and Confluence.
- Commit to working on-site at the New York office three or more days per week.
Nice to have
- Direct domain expertise in asset or wealth management data covering portfolio and position data, investor reporting, AUM and flows, and trade and settlement data
- Experience leveraging AI tools such as generative AI assistants, LLM-based workflows, or AI-powered analytics
- Experience evaluating and managing third-party data vendors
Benefits
- Bonuses and equity included in all full-time offers
- Fair and competitive pay reflecting market conditions, regional cost of living, and internal equity
Skills and tech stack
Questions candidates ask
What is the remote and office policy for this role?
The position is a hybrid role requiring the candidate to work onsite at the New York office 3 or more days per week.
What is the salary range for this position?
The annual salary range for this position is $164,000 to $212,000, with final compensation determined by location, job-related experience, skills, knowledge, internal pay equity, and market conditions.
What tools and platforms will I need to use?
The role requires hands-on data analysis and querying skills across large enterprise platforms such as Snowflake or Databricks, along with proficiency in project management tools like Jira and Confluence.
What type of background is required for this position?
Candidates need 8 to 10 years of experience in data product management or ownership within financial services, with a background in asset or wealth management strongly preferred.
The application is on the official Invisible Technologies careers page.
Apply on company site