Senior AI Analytics Product Manager - Military veterans preferred

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife. What you’ll be doing: The

AI Platforms Performance Insights

team is looking to hire a Product Manager Performance Insights Analytics to deliver value to the Verizon organization through deep analytics and business intelligence reporting that enable

the team to drive intelligent insights into actions. The Performance Insights team is responsible for guiding cross-functional teams and own all aspects of delivering Artificial Intelligence/Machine Learning (AI/ML) solutions end to end, including but not limited to: solution design, solution development life-cycle, solution implementation, and demonstration of business value. Your role on the Performance Insights team would be guiding data-driven decisions, recommending data-driven actions, sharing Product utilization and impact trends, highlighting wins, identifying new data-driven opportunities, performing A/B tests, completing and supporting Efficacy Analysis to measure success of new releases over existing features. In this role, you will assist Product managers with ad-hoc reporting needs, and provide input on product working calls as it relates to reporting needs and the

database requirements necessary to support them. The Product Manager Performance Insights Analytics will focus on developing, automating and deriving insights from Analytics and Reporting Tools such as

Tableau/Qlik/ThoughtSpot/Adobe dashboards, storytelling new customer insights with UI/UX visualizations and maintaining, providing feedback, and

enhancing existing reports. This will also be an opportunity to build and track tool utilization, create data-driven use cases,

and empower stakeholders to optimize experiences, and build new use cases that champion efforts to optimize revenue, and improve both customer and employee satisfaction. Responsibilities: Collaborating and partnering with Product Managers, AI&D, GTS,

and channel stakeholders to identify and create new use cases driven by data,

solve for reporting requirements, and assist with executing new use cases.

Analyzing Performance Insights Results, exploring areas of interest for new feature opportunities, assist with data-driven feature development, and reporting dashboards in ThoughtSpot/Tableau/Qlik/Looker to measure, analyze and report trends on Tool Utilization,

App Adoption, CX journey metrics with path analysis, cohort segmentation, SQL automation.

Sourcing and analyzing data from various data repositories, validating data for consistency, and partnering with GTS teams and AI&D to ensure data integrity and performance measure calculations.

Creating and deploying actionable dashboards for business owners to gauge performance and assist with optimization decisions that drive Utilization and key performance metrics related to new revenue, cost savings, and customer satisfaction.

What we’re looking for... As a Performance Insights Team member, you are good with numbers and you love to dig into data to find the story. Crafting reports and dashboards is your passion. You’re able to translate numbers into compelling stories-—and tailor your presentation and recommendations to the audience’s function and level to meet their needs. You proactively research emerging developments in data mining, analytics, and visualization and apply what you learn to the projects at hand. You are detail-oriented and know how to be passionate about what really matters. You have a knack for understanding and visualizing just the right way to share data and practical insights so that people can understand. You enjoy aligning various work streams to ensure the same vision and goal is achieved. You are a good listener, a strong communicator, and an accomplished storyteller. You’re able to summarize and frame requirements to peers, stakeholders, and partner groups. You take great pleasure in sharing learnings and best practices with your team. You’ll need to have Bachelor’s degree or four or more years of work experience.

Six or more years of relevant work experience.

Ability to create complex SQL queries to pull data from relational and non-relational data sources like Teradata, Google Cloud Platform (GCP)/BigQuery,

Hadoop/HIVE SQL and EDW.

Data visualization skills and good experience using Tableau/ThoughtSpot/Qlik to develop reports

Experience conducting research or analysis and managing projects for multiple stakeholders.

A/B Testing experience and familiarity with tests of statistical significance including, but not limited to: T-Test and Chi Square.

Even better if you have A Bachelor’s Degree or Master’s degree in business, marketing, information systems, analytics/business intelligence, engineering, mathematics, statistics, behavioral sciences or other relevant technical discipline.

Six or more years of professional work experience within analytics and dashboards

Prior experience with

BI Tools or Analytics platforms such as Adobe Analytics, Google Analytics and visualization tools like Tableau/Qlik/ThoughtSpot/Looker etc

Analytical skills and problem solving skills with capability and experience connecting sales/operational/channel data between multiple data sources to develop queries, analyze data and generate insights.

Prior experience in Customer Experience, Digital and Assisted Channel Analytics, NPS Scorecards, Dashboard Reporting, KPIs, customer journey cross-channel analytics is a plus

Statistical background with ML algorithms and tools such as

R/Python/Spark, Deep Learning techniques or other advanced analytics tools.

Any prior exposure to AI/Machine Learning and some high-level understanding of ML models or data science model metrics to generate insights

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. If you are hired into a California, Colorado, Connecticut, Hawaii, Nevada, New York, Rhode Island or Washington work location, the compensation range for this position is between $130,000.00 and $241,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours. #J-18808-Ljbffr