Sr Product Manager - Analytics

at  TMobile USA Inc

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

• 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