*** This position must be located in Bellevue, WA. This is not a remote role - this is a hybrid schedule requiring at least 3 days a week in office.

Media Data and Insights (MDI) is T-Mobile's data and AI team for paid media and search - turning massive amounts of data into reliable, AI-augmented insights that drive decisions across the media organization. We own the full data lifecycle from gold-layer transformation through executive-ready reporting, partnering across Media Analytics, Media Enablement, and Engineering to deliver one consistent story of what's working, what isn't, and why.

As the Sr. Business Analysis Manager, Technical Lead, you will be the senior technical partner who makes MDI's data production-ready and trustworthy. You will own the architecture, automation, and technical rigor that ensures our data is reliable, fully automated, and powering the BI and insights the business depends on every week.

In this role, you'll set the technical standards that move the team from manual maintenance to scalable, automated infrastructure - freeing us to deliver higher-value insights faster. You'll partner with peers across Media Analytics, Media Enablement, and Engineering as we deliver major 2026 initiatives across executive reporting, cross-channel media and web behavior insights, and a major clickstream data platform transition.

Key Responsibilities
Technical Architecture and Standards

Own the gold layer architecture across all paid media and search performance data. Set design standards, naming conventions, and patterns that scale across the team and align with peer teams. Define how the team builds, validates, and ships data products.
Production-Ready Data Infrastructure

Build and maintain reliable, automated pipelines in Databricks that don't require constant manual intervention. Establish monitoring, alerting, and SLAs that make our data the source of truth leadership depends on.
Clickstream Data Validation & Partnership

Partner closely with Engineering on enterprise clickstream tables - pageview, visit, and user-level - defining MDI's requirements, validating outputs, and ensuring data quality so the team can analyze web behavior and media impact at scale.
Data Quality Framework

Establish testing, validation, and anomaly detection standards so our data is trusted across the organization. Lead QA against ingestion pipelines, data sources, and platform UIs.
Cross-Team Alignment

Partner with peer analytics teams to align on shared conventions and standards, ensuring consistency between macro-level analytics and diagnostic reporting.
Technical Mentorship

Provide guidance and uplift the technical capabilities of the broader team. Set the technical standard and help less senior team members grow into it.
Major Initiative Leadership

Serve as the technical lead for major data platform transitions, cloud migrations, and consolidating media reporting infrastructure across teams.
Executive Communication

Construct executive-level summaries of technical strategy and present complex architectural decisions in clear, concise terms to non-technical stakeholders. Possess the ability to influence leadership through fact-based recommendations.
Education

Bachelor's degree plus plus 7 years of related work experience OR Advanced degree with 5 years of related experience is required. Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience.
Work Experience Required

• 7-10 years Building and maintaining production data pipelines and gold/semantic layers in modern cloud data environments
• 7-10 years Hands-on experience with Python and SQL for data pipeline and transformation work
• 7-10 years Working with big data and clickstream data at enterprise scale
• 4-6 years Experience with Databricks, dbt, or equivalent modern transformation and orchestration tooling
• 4-6 years Designing data quality, testing, and validation frameworks
• 4-6 years Experience setting technical standards and mentoring team members in a senior role

Knowledge, Skills and Abilities
Required

• Deep technical expertise in modern data infrastructure practices, including pipeline design, orchestration, automation, and reliability.
• Strong opinions on data quality, testing, and technical rigor - has built systems that don't need constant babysitting.
• Big data and clickstream experience at enterprise scale.
• Hands-on Databricks experience, including notebook development, job orchestration, and Unity Catalog.
• Strong Python and SQL - comfortable owning end-to-end pipelines independently.
• Excellent communication skills - able to explain technical decisions to non-technical stakeholders and influence through fact-based recommendation.
• Experience with cloud computing platforms such as Azure, AWS, or GCP.

Preferred

• Experience with data visualization tools such as Power BI, Tableau, etc.
• Adobe Analytics or comparable clickstream tool experience.
• Experience with media, marketing, or digital data.
• Telecommunications industry experience.

• At least 18 years of age
• Legally authorized to work in the United States

Base Pay Range: $96,700 - $174,400

Corporate Bonus Target: 20%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ358051¶dox=1

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!