Senior Data Product Owner, Enterprise Data & AI

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 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.