Data & AI Product Associate - Backlog to Impact

Bose Corporation, U.S.A; Lisboa; On-site; EUR 40,000 - 60,000; Full time

Job summary

Bose Corporation in Portugal is seeking an Associate Product Owner to support Portfolio Strategy & Operations in a data-driven domain. The role focuses on backlog readiness, documentation, and coordination to deliver high-quality data products.

You will partner with Senior POs and cross-functional teams (Analytics Engineering, BI/Insights, Data Science) to translate needs into well-defined work and support releases.

Qualifications

• Translate business needs into structured requirements with clear acceptance criteria.
• Experience supporting data/analytics projects with KPIs and BI.
• Coordinate cross-functional work across multiple teams.
• Strong interest in data, analytics, and AI-enabled products.
• Excellent organization and communication; coordinate stakeholders.
• Agile experience and familiarity with Jira/Confluence.

Responsibilities

• Own backlog hygiene and readiness: draft epics/user stories, acceptance criteria.
• Coordinate refinement, planning, demos, and sessions; track actions and risks.
• Collaborate with Data Eng, Analytics Eng, BI/Insights, and Data Science/NLP.
• Support demand shaping by documenting workflows and problem statements.
• Coordinate release readiness and change artifacts: notes, training, UAT.
• Capture post-release feedback and maintain improvement backlog.
• Support AI/GenAI pilots and adoption readiness from prototype to production.

Skills

Backlog management

Cross-functional coordination

Agile delivery

Data analytics interest

Excellent communication

Tools

Jira/Confluence

SQL

Power BI

Databricks

AWS

dbt

Job description

Bose Corporation in Portugal is seeking an Associate Product Owner to support Portfolio Strategy & Operations in a data-driven domain. The role focuses on backlog readiness, documentation, and coordination to deliver high-quality data products.

You will partner with Senior POs and cross-functional teams (Analytics Engineering, BI/Insights, Data Science) to translate needs into well-defined work and support releases.