T-Hub - Digital Product Manager (Power BI&UX)

Working at T-Mobile’s T Hub offers a unique and highly rewarding experience in the IT market. T-Mobile is a leader in the telecommunications industry, providing a platform to hone technical skills and empowering employees to be catalysts for innovation. The company works at the forefront of cutting-edge technologies, including 5G, IoT, and AI, shaping the future of connectivity. T-Mobile fosters a diverse and inclusive workplace, encouraging collaboration among talented professionals and supporting continuous learning and development through mentorship.

• Degree in HR, Business, Data Analytics, or a related field
• Several years of experience in people analytics, BI, or data product roles
• Strong experience with dashboarding tools (e.g., Power BI or code-/AI-based tools)
• Solid understanding of data modeling and organizational data structures
• Experience with data pipelines, automation, and data quality management
• Familiarity with HR systems (e.g., SAP SuccessFactors)
• Experience with Git or similar version control tools and reproducible workflows
• Strong data storytelling and dashboard UX skills
• Structured, detail-oriented, and solution-driven mindset
• Strong stakeholder management skills in cross-functional environments
• Comfortable working in ambiguous setups and driving decisions
• Interest in modern analytics, AI-supported workflows, and innovation

• Build and develop scalable dashboards (e.g., Power BI or code-/AI-based tools) for employee insights
• Design data models reflecting complex organizational structures and hierarchies
• Design and automate data pipelines and reduce manual processes
• Ensure data quality through validation frameworks and consistent governance
• Translate data into clear and actionable insights
• Work with HR systems (e.g., SAP SuccessFactors) and org management tools
• Analyze and improve existing processes for scalability and efficiency
• Collaborate with cross-functional stakeholders and senior leadership
• Support decisions on tools, data architecture, analytics setup, and UX
• Drive innovation using modern analytics approaches, including AI and automation