At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. 

Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. 

Job Description

We are looking for a Sr Data Products Manager – Data, Analytics & AI Innovation to lead data product strategy and delivery for the Operations domain. This role partners closely with business stakeholders and Data&AI team delivery teams to identify high-impact opportunities, translate business needs into scalable data products, and drive measurable outcomes through analytics and AI.

To be successful, you will combine strong domain context with product leadership, project coordination, and stakeholder management—shaping demand into a value-based roadmap, guiding delivery execution in an agile environment, and ensuring products are adopted in day-to-day workflows. You will collaborate with Data Engineering, Analytics Engineering, BI/Insights, Data Science, and NLP teams to deliver trusted decision support and AI-enabled capabilities that modernize operations.

Responsibilities

Identify & shape high-value opportunities

• Partner with Operations leaders to identify efficiency and performance opportunities across business processes and decision workflows.
• Assess where data, analytics, AI/ML, and GenAI can simplify work, improve decision quality, and enable scalable automation.
• Translate business problems into clear product outcomes, scope, and requirements (MVP approach, success measures, adoption needs).
• Stay current on analytics and AI trends; translate them into practical product opportunities aligned to business value.

Lead value-based portfolio prioritization

• Build and maintain a value-based roadmap for the Operations domain, balancing KTLO, enhancements, emerging opportunities, and strategic bets.
• Prioritize and sequence work based on business impact, feasibility, reuse potential, and delivery capacity; resolve competing priorities with transparency.

Drive delivery execution and cross-team coordination

• Coordinate delivery across CoE teams (Data Engineering, Analytics Engineering, BI/Insights, Data Science, NLP) within an agile framework.
• Own backlog prioritization and readiness; write effective epics/user stories and support sprint planning, demos, and releases.
• Track and communicate progress, risks, dependencies, and decisions to stakeholders; ensure alignment across teams.

Qualifications

• Typically 5+ years of experience in product management/ownership, analytics, data engineering, or related roles delivering data/analytics products
• Proven leadership and communication skills, including stakeholder management and influence across cross-functional, globally distributed teams
• Literacy with modern data & analytics platforms (e.g., cloud data warehouses, ELT/ETL, semantic/data modeling, BI tooling, and cloud); specific tools are a plus (Snowflake, dbt, Power BI, AWS/Azure/GCP, etc.)
• Demonstrated track record driving data/analytics modernization and/or digital transformation, including applying analytics/AI to improve business processes and decision workflows
• Familiarity with GenAI tools (e.g., ChatGPT, Microsoft Copilot) and ability to translate AI/GenAI capabilities into practical product opportunities; hands-on experience is a plus
• Experience leading cross-functional delivery spanning data engineering, analytics/BI, and AI/ML to deliver measurable business outcomes
• Ability to explore datasets and validate results (e.g., basic SQL/data exploration) and validate outputs with engineering/analytics teams
• Experience working in agile environments (Scrum/Kanban) with strong backlog management and delivery coordination
• Experience with Jira/Confluence (or equivalent) for backlog management, documentation, and delivery transparency
• Lean/Agile certification is a plus (e.g., CSPO, SAFe, Scrum)
• Bachelor’s degree required; Master’s degree a plus (or equivalent relevant experience)

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Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.