Job
Description
As a technically proficient Product Owner with expertise in data and analytics platforms, you will play a crucial role in leading the development of scalable and insight-driven data products. Your responsibilities will involve collaborating closely with data engineers, architects, analysts, and business stakeholders to convert raw data into impactful tools and solutions that drive business intelligence, advanced analytics, and operational efficiency. You will be responsible for defining and managing the product roadmap for data-centric platforms, services, and analytics tools. This will include translating business and analytical goals into detailed technical product requirements, user stories, and epics. By owning and prioritizing the product backlog, you will maximize business value and technical scalability while ensuring seamless delivery of high-performance features through collaboration with engineering, analytics, and design teams. In the realm of analytics and data product development, you will lead the creation of dashboards, reporting tools, self-service analytics, and predictive models. Additionally, you will guide the design and implementation of scalable data pipelines, data lakes, and warehouse architectures using tools such as Snowflake, Redshift, Power BI, Tableau, and Looker. Defining key performance indicators (KPIs) and grounding all features in measurable outcomes will also be key aspects of your role. Acting as a liaison between product, engineering, data science, and business teams, you will partner with engineering and data teams on ETL workflows, data modeling, APIs, and system integration. You will drive delivery using Agile methodologies, ensuring feature launches are supported with documentation, training resources, and adoption strategies. Governance, compliance, and scalability will be crucial areas where you will focus, ensuring product compliance with data governance, GDPR, and security best practices. You will promote scalable architecture and engineering best practices through reusable data models and pipelines, advocating for observability, monitoring, and data quality practices. Preferred Technical Environment: - Languages & Tools: SQL (mandatory), Python or R (preferred), Git, JIRA - BI & Analytics Tools: Power BI, Tableau, Looker - Data Infrastructure: Snowflake, Redshift, BigQuery, dbt, Fivetran, Airbyte - Cloud Platforms: AWS, Azure, or GCP - Agile Tooling: JIRA, Confluence, Miro - Version Control & CI/CD: GitHub, GitLab, Jenkins Qualifications: - Minimum 7 years of experience as a Product Owner or Technical Product Manager for analytics or data products - Proven ability to work with cloud-native data platforms and modern data engineering stacks - Strong understanding of data pipelines, data modeling, ETL orchestration, and warehouse design - Hands-on experience with SQL and at least one modern BI platform - Experience in driving measurable business outcomes through data product initiatives This role offers you the opportunity to make a significant impact by leveraging your technical expertise to drive the development of impactful data products that empower businesses to make informed decisions based on data-driven insights.,
