Associate Product Owner (Data & AI)

Bose is looking for an Associate Product Owner to support Portfolio Strategy & Operations within a data domain, focusing on the day-to-day delivery mechanics (backlog readiness, coordination, documentation and operational rigor) so the team can deliver consistent, high-quality data products.

About the role

It's an ideal early-career role for someone who wants to grow into end-to-end product ownership, building deep domain expertise and learning how to translate business priorities into scalable data products. You will partner with Senior Product Owners, delivery teams (Analytics Engineering, BI/Insights, Data Science, NLP) and business stakeholders to translate needs into well-defined work, support releases and help drive adoption through feedback loops.

Responsibilities

• Own backlog hygiene and readiness: draft epics and user stories, clarify acceptance criteria, and ensure work is delivery-ready for execution sprints
• Coordinate delivery mechanics: support refinement, planning, demos and working sessions; track actions, dependencies and risks (RAID)
• Collaborate closely with technical teams (Data Engineering, Analytics Engineering, BI/Insights, Data Science/NLP) to clarify requirements, manage dependencies and ensure solutions are feasible, high-quality and delivered on time
• Support demand shaping by gathering inputs, documenting workflows, and preparing problem statements and success measures for Senior PO review
• Coordinate release readiness and change enablement artifacts (release notes, training inputs, UAT coordination, rollout checklists)
• Capture post-release feedback and product health signals; maintain an improvement backlog and support iteration cycles
• Support AI/GenAI pilots and adoption readiness (test plans, user feedback capture, documentation)

Required qualifications

• Demonstrated ability to translate business needs into structured requirements, epics or user stories with clear acceptance criteria
• Experience supporting data/analytics projects or products: working with datasets, KPIs/metrics, reporting/BI, and partnering with technical teams
• Experience coordinating cross-functional work (product operations, business analysis, project/program support, analytics delivery or similar)
• Strong interest in data, analytics and AI-enabled products; comfortable learning new tools and concepts quickly
• Excellent organization and communication skills; ability to coordinate stakeholders and keep work moving
• Comfort working in an agile environment and using common delivery tools (e.g. Jira/Confluence or equivalents)

Preferred qualifications

• Working knowledge of SQL and ability to validate outputs with analysts and engineers
• Experience with BI and data science tools (e.g. Power BI, Databricks, AWS) and/or analytics engineering concepts (e.g. dbt, semantic layers)
• Familiarity with AI/GenAI concepts or tools (e.g. prompting, copilots, NLP), and interest in responsible AI practices
• Experience supporting business process improvement or shared service workflows in any function

How to apply

Submit your application by uploading your CV in English via the Apply button.

About Bose

For over 60 years, Bose Corporation has been built on innovation, excellence and independence. Privately owned and customer-focused, Bose is shaping the future of audio technology, automotive, luxury and premium experiences across multiple global business units and functions.