Technical Product Owner

Job Title: Technical Product Owner Location: Chicago, IL (hybrid, five days onsite expected; a minimum of three days onsite may be available) Employment Type: Permanent, full-time (exempt) Openings: 2 (new headcount) Target Compensation: $107,650 to $130,000 About The Company Our client is a leading global law firm building out a modern Databricks data platform and business intelligence layer that supports attorneys and firm operations.

Job Summary We are seeking two hands-on Technical Product Owners, one for the Data Platform team and one for the Business Intelligence team. Each owns the backlog for a Scrum team, writes the technical user stories engineers build from, runs Agile ceremonies and drives delivery. This is a product ownership role, not a Scrum Master or project manager role.

Key Responsibilities

• Own the product backlog for data platform or BI capabilities, prioritizing with engineering leadership and business stakeholders.
• Break technical epics into user stories with clear acceptance criteria that engineers can execute.
• Lead sprint planning, backlog refinement, stand-ups, reviews and retrospectives for an assigned Scrum team.
• Track milestones, dependencies, risks and Agile metrics, and report status to stakeholders and director-level leadership.
• Coordinate across data engineering, BI engineering, QA, DevOps, infrastructure and security on development, testing and releases.
• Support roadmap and release planning, including release readiness, UAT, deployment planning and post-release validation.
• Partner with engineering on ingestion pipelines, transformations, enterprise and semantic data models, reporting and self-service analytics.
• Apply data quality, governance and documentation practices throughout delivery.

Required Qualifications

• Bachelor's degree in Information Systems, Computer Science, Business or a related field, or equivalent experience.
• 5+ years in technical product ownership, software or project delivery, or related roles.
• Direct ownership of technical backlogs: creating, prioritizing, refining and grooming.
• Experience writing detailed technical user stories and acceptance criteria independently.
• Experience independently leading Scrum ceremonies and sprint execution for a technical team.
• Working knowledge of data concepts: databases, data structures, ingestion, pipelines, data modeling, APIs and BI.
• Hands-on experience with Jira, Azure DevOps or similar tools.
• Strong communication skills with engineers, stakeholders and senior leadership.

Preferred Qualifications

• Data platform, data engineering or business intelligence product experience.
• Exposure to Databricks, Snowflake, Azure, AWS, Power BI, Cognos or similar platforms; medallion architecture.
• Data governance, data quality or metadata management experience.
• CSPO, CSM or comparable Agile certification; CDMP or comparable data management certification.
• Professional services experience (legal, financial or consulting).
• SQL, Python and hands-on coding are not required.
• Work Arrangement Full-time in Chicago with a standard expectation of five days per week in the office; a minimum of three days onsite may be available at the firm's discretion.
• Applicants must be authorized to work in the United States without the need for employer sponsorship, now or in the future.