Overview:
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Responsibilities:
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
This is an exciting opportunity to shape the future of AI-powered data governance, automation, and self-service analytics. As a Product Owner, you will play a pivotal role in ensuring that data warehouse capabilities evolve to provide faster, more reliable, and AI-enhanced insights for business users. We are passionate about leveraging AI to optimize data-driven decision-making and to manage data in semantic layers with various layers of abstraction and cater to reporting needs.
Key Responsibilities:
* Partner with data governance, security, and AI-engineering teams to ensure pipelines meet quality, metadata, and compliance standards
* Define and prioritize the product backlog for data initiatives aligned with ROI, business value, and AI-driven forecasts
* Gather and analyze business requirements, translating them into clear user stories and acceptance criteria
* Collaborate with engineering teams across the full product lifecycle to deliver high-quality, timely data products
* Manage portfolio milestones, track delivery metrics, mitigate risks, and review product performance with stakeholders
* Champion data literacy, monitor industry trends, and integrate best practices into product strategy
Qualifications:
Education and Experience:
* Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field
* 2+ years of experience as a Product Owner or similar role, with a strong focus on data management, data governance, or data platforms
* Proven experience working in a large-scale enterprise environment, preferably within the telecommunications industry
Skills and Qualifications:
* Solid understanding of data governance, data quality frameworks, metadata management, and data lineage
* Familiarity with data technologies and platforms (e.g., data warehouses, data lakes, ETL tools, cloud services)
* Skilled in data visualization tools (e.g., Tableau, Orbit) and agile tools like Jira, Confluence, and ServiceNow
* Strong analytical, problem-solving, communication, and collaboration skills in fast-paced environments
* Experience with AI-powered automation for data pipelines, governance enforcement, and forecasting, preferred
* Preferred certifications: AWS Cloud Practitioner and/or Certified Scrum Product Owner (CSPO)
Visa sponsorship not available for this role
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