Senior Business Analysis Manager - Data Quality

T-Mobile•Overland Park, KS

17h•Hybrid

About The Position

The Senior Business Analysis Manager, Data Quality provides strategic leadership for enterprise-wide data quality, governance, and data trust initiatives supporting reporting, analytics, business intelligence, and data product ecosystems. This role establishes the vision, framework, and operating model for data quality management while partnering with senior leaders across technology, data engineering, analytics, and business organizations. The Senior Manager drives the development of scalable data quality programs, governance controls, and continuous improvement strategies that enable high-confidence decision-making across the enterprise. This leader oversees multiple teams or workstreams, influences enterprise architecture decisions, and ensures data quality principles are embedded throughout the data lifecycle—from source systems to executive reporting and advanced analytics.

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required)
Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience (Required)
7-10 years Analytics experience solving analytical problems using quantitative approaches (Required)
Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
Advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
Experience with Python, R, Go or similar statistics or data science language preferred. (Required)
Telecommunications (Preferred)
Advanced Analytics (Required)
Business Acumen (Required)
Data Analysis (Required)
Data Storytelling (Required)
Data Visualization (Required)
Executive Presence (Required)
Financial Modeling (Required)
SQL Database Queries (Required)
Stakeholder Management (Required)
Strategic Thinking (Required)
At least 18 years of age
Legally authorized to work in the United States

Responsibilities

Define and lead the enterprise data quality strategy supporting reporting, analytics, data governance, and business intelligence initiatives.
Establish data quality operating models, governance frameworks, policies, standards, and key performance indicators across the organization.
Partner with senior leaders in data engineering, architecture, reporting, analytics, and business functions to ensure end-to-end data integrity and trust.
Provide strategic oversight of data quality controls across data warehouses, data lakes, reporting platforms, and analytical environments.
Drive enterprise-level initiatives focused on improving data accuracy, consistency, lineage, transparency, and governance maturity.
Lead the evaluation and resolution of complex data integration, migration, transformation, and modernization challenges.
Sponsor and oversee large-scale data quality programs, ensuring alignment with business priorities, roadmap objectives, and organizational goals.
Champion data quality by design principles within architecture reviews, platform implementations, and analytical solution development.
Establish executive-level reporting and scorecards that communicate data quality performance, risks, trends, and opportunities.
Build strong partnerships across business and technology organizations to influence decision-making and foster a culture of data accountability.
Lead, mentor, and develop managers, analysts, and data quality professionals while building organizational capabilities and succession plans.
Guide resource planning, budget management, prioritization, and strategic workforce planning for data quality functions.
Represent data quality leadership in executive presentations, governance councils, steering committees, and strategic planning discussions.
Ensure compliance with enterprise governance requirements, risk management frameworks, and regulatory obligations.
Perform additional duties and strategic initiatives as assigned.