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# Technical Product Owner

- **Company:** Sidley Austin LLP
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $107,650.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, JIRA, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Transformation, DevOps, Meta-Data Management, Scrum Methodology, Power BI, Enterprise Data Management, Data Ingestion, Information Technology, Data Analytics, Data Management, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9c2305c47c4b1c6e

## About the Role

* Bachelor's degree in Information Systems, Computer Science, Business Administration, Product Management, or a related field, or equivalent professional experience.
 * A minimum of 5 years of experience in technical product ownership, software delivery, project delivery, Scrum Master, or related roles.
 * Experience supporting or managing data platform, business intelligence, or other technical products and translating business and technical requirements into epics, user stories, and acceptance criteria.
 * Experience coordinating day-to-day Agile delivery for a scrum team, including sprint planning, backlog refinement, reviews, retrospectives, and delivery tracking.
 * Working knowledge of modern data architectures, data integration, APIs, data modeling, and business intelligence concepts.
 * Experience coordinating dependencies, risks and issues, testing, release activities, and stakeholder communications in a cross-functional environment.
 * Proficiency with Agile delivery tools such as Jira, Azure DevOps, or similar platforms.
 * Strong communication and facilitation skills, including the ability to communicate technical concepts to technical and non-technical stakeholders.

Preferred:

 * Experience with Databricks, Power BI, medallion architecture, or comparable modern data and analytics platforms.
 * Experience with data governance, data quality, metadata management, or related data-management practices.
 * Certified Scrum Product Owner (CSPO), Certified ScrumMaster (CSM), or comparable Agile certification.
 * Certified Data Management Professional (CDMP) or comparable data-management certification.
 * Experience in a professional services environment, including legal, financial, or consulting organizations.

Other Skills and Abilities:

The following will also be required of the successful candidate:

 * Strong organizational skills

 * Strong attention to detail

 * Good judgment

 * Strong interpersonal communication skills

 * Strong analytical and problem-solving skills

 * Able to work harmoniously and effectively with others

 * Able to preserve confidentiality and exercise discretion

 * Able to work under pressure

 * Able to manage multiple projects with competing deadlines and priorities

#LI-OE1

#LI-Hybrid

Applicants must be authorized to work in the United States without the need for employer sponsorship, now or in the future

## Description

* Manage and maintain the product backlog for assigned data platform and business intelligence capabilities, prioritizing work in partnership with engineering leadership and business stakeholders.
 * Translate business and technical requirements into epics, user stories, and acceptance criteria, working with engineering teams to clarify scope, feasibility, dependencies, and expected outcomes.
 * Coordinate Agile delivery for an assigned scrum team, facilitating sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives and supporting adherence to established Agile practices.
 * Monitor delivery plans, milestones, dependencies, risks, issues, and Agile metrics to identify potential delivery concerns and communicate status to appropriate stakeholders.
 * Coordinate activities across data engineering, BI engineering, QA, DevOps, infrastructure, security, and other participating teams to support timely development, testing, and release activities.
 * Support product roadmap and release planning by providing delivery estimates, dependency information, technical considerations, stakeholder requirements, and other information necessary to establish priorities.
 * Coordinate release readiness activities, including acceptance criteria, testing, user acceptance testing, deployment planning, stakeholder communications, and post-release validation.
 * Partner with data and BI engineering teams on the delivery of data platform capabilities, including ingestion pipelines, data transformations, enterprise data models, semantic models, reporting solutions, and self-service analytics capabilities.
 * Apply established data quality, governance, lifecycle, and documentation practices throughout product delivery and identify opportunities to improve processes within the assigned area.
 * Serve as a liaison between business stakeholders and technical teams, communicating requirements, priorities, delivery status, risks, and technical concepts to support alignment throughout the delivery lifecycle.