Sr Product Manager - Analytics

Be unstoppable with us!

T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop!

As a Sr Product Manager

• Analytics, you will lead the application of various techniques including machine learning and statistical methods to solve business problems with regard to handsets/devices (products). You will collaborate with a multi-disciplinary team of technical and non-technical business partners on a wide range of challenges. You demonstrate expertise across the entire analytics and machine learning lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, foreacsting, and product performance measurement.

The Sr Product Manager

• Analytics is a ground-breaking, strategist, analyst, customer evangelist, and professional relationship builder all rolled into a single dynamic package. Every product/handset/device at T-Mobile is envisioned and created to achieve a specific business purpose or set of business results. The Sr Product Manager is ultimately accountable, responsible, and has ownership and insight of T-Mobile's internal and external products, platforms, services, experiences envisioned and created, to again achieve the specific business purpose or business results. At a high level, this means predicting/identifying the intersection of customer problems/unmet needs and opportunities, technical feasibility, business goals, and working with a cross-functional team as well as key partners to deliver against these opportunities.

No day is the same for the Sr Product Manager

• Analytics. Day-to-day activities or responsibilities include: defining/conducting market research; resolving short and long-term strategies of handsets/devices/products; helping drive and support product, through analytics and modeling, Forecasting and predictive performance and above all, delivery of product perfornance end to end. Partnering with development, project/program management, marketing, finance, procurement and other vital team members is paramount.

Responsibilities:

• Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.

• Owns product analysis end to end, for cross-platform solutions of handsets/devices of the highest level of complexity and scope. This includes creating, managing, maintaining and communicating product performance, vision and portfolio impacts.

• Identifies target customer(s) for existing or future products (handsets and devices), and designs and drives end-user research/output/performance for these product(s)

• Partners with business, internal/external collaborators and Leadership to understand current customer preferences, identifies key areas of opportunity.

• Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company. Product opportunities or root cause of issues and assess opportunity size and impact. Work with other data scientists/managers to answer complex questions or identify relevant insights from data.

• Uses rapid hypothesis driven testing methodologies and experiments (i.e. paper prototype, A/B testing, etc.) to inform direction, prioritize investment.

• Anticipates industry trends, direction, innovation, analyses potential impacts or opportunities to customer/ product(s), and incorporates analyses into the model(s)

• Drives specific ad hoc analysis and presents information to executive (VP and below) level management on request.

• Maintains current understanding of tech trends. Assesses how trends impact the portfolio of products or create opportunity for innovation within the portfolio.

• Conducts cost-benefit /ROI/NPV analysis, driven product analysis, to support decision making.

• Participate as needed in Product Quarterly Business Reviews (QBR's) and support Steering meetings.

• Supports marketing, finance, and other partner teams with the necessary product/forecasting knowledge and additional analytical documentation when requested.

• Collaborates and develops positive working relationships with many teams, including sales, commercial accounting, marketing, legal, go-to-market, and finance. Works with outside partners and other third parties.

• Develops adoption tools and training materials.

• Also responsible for other Duties/Projects as assigned by business management as needed.

Qualifications:

• 7+ years Product Industry experience in predictive modeling, data science, and analysis, building and deploying ML/AI models or hands on experience developing deep learning models with respect to product (Devices/Handsets). Relevant product experience in an agile software product development environment.

• 4-7 years Experience with data scripting languages (e.g., SQL, Python, R) with forecasting applications (SAS or other)

• 4-7 years Experience in product forecasting and long-range product performance predictability and articulating and translating business questions and using statistical techniques to arrive at an answer using available data.

• Shown ability to effectively and efficiently communicate with Leadership, while employing a high degree of collaboration and influence.

• Expertise in Python, SQL and SAS

• Knowledge of Calculus, linear algebra, statistics, and probability

• Strong requirements elicitation, and validated writing skills including the ability to write concisely and clearly for different audiences.

• Strong analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions.

• Experience in delivering large and complex business/technology initiatives.

• Bachelor's degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)

• Master's degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) preferred.

• At least 18 years of age

• Legally authorized to work in the United States

Travel:

Travel Required (Yes/No):Yes

DOT Regulated:

DOT Regulated Position (Yes/No):No

Safety Sensitive Position (Yes/No):No

Washington Pay Range : $158,100.00 - $213,900.00

The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below 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, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant.

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 paid 12 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 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!

T-Mobile 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.

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, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.