Job Description & How to Apply Below
About T-Mobile:
T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.
About TMUS Global Solutions:
TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.
TMUS India Private Limited operates as TMUS Global Solutions.
Product Manager, Technical – Data Operations
About the Role:
Product Manager, Technical – Data Operations is responsible for envisioning, delivering, and optimizing data-driven products and solutions that support critical business functions. This role combines strategy, technical expertise, and leadership to guide cross-functional teams in building scalable data operations platforms and services. The Product Manager, Technical owns the product lifecycle from ideation through deployment and ongoing improvement, ensuring alignment with business objectives and customer needs.
The Data Operations team culture is collaborative and cross-functional, with high individual accountability, technical depth at all levels, and influence-driven leadership. Success is measured by the impact, reliability, and scalability of delivered data products and the ability to drive continuous improvement across the Data Operations team.
What You’ll Do:
Define and own the product vision, strategy, and roadmap for Data Operations platforms and services
Conduct market research, competitive analysis, and stakeholder interviews to identify opportunities and inform product direction
Collaborate with engineering, analytics, and business teams to translate requirements into actionable user stories and technical specifications
Prioritize features and enhancements based on business value, technical feasibility, and customer impact
Drive execution of product initiatives, ensuring timely delivery and operational stability
Monitor product performance, gather feedback, and iterate to improve reliability, scalability, and user experience
Present new ideas, frameworks, and approaches to enhance data operations and drive innovation
Support deployment, maintenance, and continuous improvement of data products and services
Foster a collaborative, cross-functional environment with open communication and mutual support
Demonstrate ownership and accountability, making independent decisions that drive positive outcomes
Adapt to ambiguity and balance speed of delivery with building robust, scalable solutions
Champion systems thinking, quality, and delivery excellence
What You’ll Bring :
Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience
5+ years of experience in product management, technical program management, or related roles in data operations or analytics
Ability to manage work across multiple initiatives with strong organizational and prioritization skills
Strong problem-solving skills and the ability to think critically and adapt to changing priorities
Effective communication skills to collaborate with cross-functional technical teams
Strong understanding of data architectures, cloud platforms, and data engineering best practices
Experience managing cross-functional teams and delivering complex technical products
Excellent problem-solving skills and ability to adapt to changing priorities
Effective communication and stakeholder management skills
Demonstrated ability to work collaboratively across data and software teams, resolving challenges and driving outcomes
Proven track record of supporting teammates and contributing beyond technical work, including mentoring and supporting team members of varying experience levels
Strong sense of ownership; proactively drives initiatives and follows through on commitments
Comfortable handling ambiguity and incomplete requirements in fast-moving environments
Experience improving engineering…
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