MSC Intelligent Operations Manager

T-Mobile Magenta Services Center ManagerAt T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!The Magenta Services Center is T-Mobile's multi-tower Shared Services Organization (SSO) spanning HR, Finance, and Accounting operations. This Manager role exists to build and operate the digital foundation that powers how the MSC works, not as a technology project, but as a permanent operating discipline. As the MSC matures from successful migration into governed, scalable service delivery, the function ensures that technology intelligence is embedded into operations, not bolted on after the fact. The person who thrives here bridges two worlds: deep fluency with commercial AI platforms and automation tooling on one side, and the structured thinking of data governance, enterprise architecture, and service management on the other. You will operate at the intersection of IT partnership, Centers of Excellence alignment, and MSC operations, translating AI possibility into MSC practice. This is not a role for someone who experiments with AI as a hobby. It is for someone who can design the system by which an entire shared services organization operates with AI embedded as a default, not an option.The Magenta Services Center (MSC) has built its operational foundation and is working to unlock the use of AI as a core capability alongside with other Service Management practices. Across its five value streams, the MSC processes high-volume, structured, repeatable work, exactly the conditions where AI-enabled automation, decision support, and productivity will amplify the value of the organization. Without a dedicated function to manage MSC's AI strategy, coordinate enablement with IT and CoE partners, maintain enterprise compliance, and drive individual productivity adoption, the MSC might just fall in consuming AI tools reactively and inconsistently, leaving significant capacity and quality opportunity on the table. This Manager closes that gap and builds the capability from which the MSC's next phase of maturity begins.Job Responsibilities:AI Enablement Coordination & CoE PartnershipEnterprise AI Governance & Guardrail ComplianceAI Data Readiness & Digital FoundationInitiative Evaluation & Value-Benefits EstimationTechnology, Platform Proficiency & Agentic AI DesignAI Productivity AmplificationEducation:Bachelor's Degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent (Required)Acceptable areas of study include Information Systems, Computer Science, Data Science or related field (Preferred)Work Experience:4-6 years Experience in a GBS, Shared Services, or enterprise operations environment with direct involvement in digital transformation, AI enablement, or technology-driven process improvement (Required)3+ years Hands-on proficiency with commercial AI platforms (GPT, Claude, or equivalent) in an operational or automation context, not limited to personal productivity (Required)2+ years Designing or governing a data architecture, data domain structure, or analytics foundation in a multi-function or multi-process environment (Required)2+ years Coordinating AI or digital enablement work across IT, business, and Centers of Excellence stakeholders, including intake, prioritization, and delivery management (Required)2+ years Building and presenting value-benefits estimates or business cases for technology investments, with accountability for post-implementation outcome tracking (Required)1+ years Hands-on experience designing or deploying agentic AI workflows. Experience working with AI CoE, IT, or platform engineering teams to define, test, and govern agentic deployments. Includes experience scoping appropriate use cases, documenting workflow logic, and establishing human oversight and fallback mechanisms. (Required)Direct experience with enterprise AI governance or acceptable use frameworks, including data classification compliance in an AI context (Preferred)Automation tooling beyond AI (RPA, workflow automation, integration platforms) in a finance or operations context (Required)Telecom, large-scale enterprise, or highly regulated industry environment (Preferred)Knowledge, Skills and Abilities:AI Data Requirements & ReadinessAI Governance & ComplianceTechnology CoordinationValue-Benefits EstimationAdoption EnablementGBS / SSO Delivery KnowledgeIndependent ExecutionExecutive CommunicationAutomation Architecture AwarenessAgentic AI & Workflow DesignITIL / Service Management AwarenessLicenses / Certifications:AI / ML Specialization or CertificationITIL Foundation (v3 or v4)Lean Six Sigma (any level)Data Governance or Analytics CertificationAge and Work Authorization:At least 18 years of ageLegally authorized to work in the United StatesTravel: Travel Required (Yes/No): No DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Total Target Cash Earnings Opportunity: $92,230 - $166,405 National Base Pay Range: $80,200 - $144,700The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.The base pay range reflects the compensation component of this opportunity. The 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. To find the pay range for this role based on hiring location, click here.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. Corporate employees are eligible for a year-end bonus based on individual and/or company 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. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary. 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 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! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status