Senior Product Owner

2 semanas atrás


Lisboa, Portugal Bose Tempo inteiro

Job Description

Bose is about better sound, but better sound is just the beginning. We invent innovative technologies that truly benefit people and we have a culture where innovation and teamwork are highly valued. Working at Bose, you are encouraged to question conventional thinking in the relentless quest to create products and experiences that change people's lives. Data driven capabilities are a crucial part of our mission, fueling the creation of new and innovative products, helping us to bring the right products to the right customers, and allowing us to astonish customers with carefully crafted and personalized experiences.

Bose’s Data & Analytics Center of Excellence (D&A COE) mission is to drive world class customer and employee experiences using data and insights at speed and scale. We do this by modernizing Bose data and delivering data-driven tools that guide decision making across the company. To modernize Bose data, we focus on promoting data literacy to make data first class across the organization, which includes building a strong foundation with quality, standards, and governance. We maintain the Bose Data Lake as a single source of truth for enterprise data and make it available to all teams within the company. We drive innovation in analytics and data science, ensuring that the organization makes faster and better decisions with dashboards, decision aides, and AI/ML models.

**Responsibilities**:

- Partner with stakeholders in various business domains to conceptualize, plan, prototype, and deliver data and analytics products with an agile mindset.
- Work with cross functional teams within COE, including Data Strategy, Data & Analytics Engineering, Business Intelligence, and Data Science to ensure cross team collaboration and coordination within an agile environment.
- Own and prioritize backlog. Continuously align priorities to business outcomes effectively resolving conflicting priorities and changing requirements using agile framework
- Track and communicate project status, risks, and issues to stakeholders, and provide guidance as needed.
- Write effective user stories, using interviews, workshops, business process descriptions, use cases, and other techniques. Define and execute release plans.
- Provide hands-on expertise within all phases of the development lifecycle.
- Identify and recommend process improvements to improve team efficiency and effectiveness.
- Develop and maintain technical documentation.

**Qualifications**:

- A minimum of 5 - 7 years of experience in a relevant role with expertise in data product management, reporting or analytics, data science, or data engineering.
- Strong leadership and project management skills.
- Literacy with relevant data & analytics technologies & platforms: data warehousing (Snowflake, Vertica, MS SQL, Redshift etc.), data management, ETL/ELT (DBT, Snaplogic etc.), Business Intelligence tools (Power BI, Tableau, Qlickview, Looker etc.), and cloud platforms (AWS, Azure, Google cloud).
- Ability to explore data sets and validate data outputs.
- Experience working with internationally dispersed teams.
- Experience working in scaled agile environment using scrum methodologies is a plus.
- Experience with JIRA and Confluence or equivalent tools

Are you interested in this position?

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