AI Product Manager ( 559859-1D )
When you join Verizon
Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.
What you’ll be doing...
This position can be located in other valid Verizon domestic locations.
The Business Transformation organization is responsible for partnering with Field and Corporate functions in Verizon Consumer Group (VCG) to drive experience and process improvements. To enhance our ability to deliver business optimization across Business Transformation, we are creating a Manager level role within the Intelligent Automation team under Business Transformation with a current focus on creating best in class employee experiences that are critical to the evolution of our business using AI.
As part of the AI@Scale program, The Artificial Intelligence Product/Solutions Manager is responsible for all aspects of delivering Artificial Intelligence/Machine Learning (AI/ML) solutions end to end, including but not limited to: partner exploration, experience design, solution development life-cycle, solution implementation, and demonstration of business value. The AI@Scale program is a strategic initiative that aims to embed AI in the core of the organization. This role will strive for excellence in all phases of execution and lifecycle management.
Identify AI opportunities across VCG and apply existing AI solutions in new ways to drive value at-scale.
Apply business knowledge and AI knowledge to translate business needs into AI solution requirements to Data Scientists and technology teams.
Orchestrator of AI solutions with active involvement from opportunity identification through to deployment & adoption, working with change agents/ process re-engineers.
Creative translation of business needs into a conceptual, logical and physical design of the solution.
Collaboration with the technical teams needed to deliver the design.
Proactively identify and address technical strengths, weaknesses, opportunities and threats across the AI/ML Automation landscape.
Strategy for managing the changes to the business/systems (new business needs, technology changes, etc.).
Explain standards and recommendation to business partners and drive alignment.
Partner with business and technology stakeholders in the identification of business requirements, functional design, process design, prototyping, testing, training, defining support procedures.
Evaluate opportunities and impact of recommended initiatives to prioritize work.
Formulate planning, budgeting, forecasting and reporting strategies.
Manage full life cycle implementations.
Lead multiple cross-functional teams charged with improving the customer and employee experiences and implementing strategic enterprise-wide efficiency-driving programs.
Build collaborative relationships with business partners, working closely to create and execute initiative roadmaps.
Prepare and execute regular program updates to senior management.
Ensure adoption of solutions and processes so that improvements are realized.
What we’re looking for...
You have an imaginative mind set and extensive experience with delivering AI/ML driven solutions. You are comfortable working in an innovation-focused environment – in particular, evaluating emerging trends and technologies to assess their feasibility and viability and functioning effectively in a fail-fast environment. You are a self-starter and a quick learner, to have a futurist mindset, and are able to innovate and report on tasks and status proactively.
You’ll need to have:
Bachelor's degree or four or more years of work experience.
Six or more years of relevant work experience.
Experience partnering with data scientists for AI use cases.
Experience with product/project management.
Willingness to travel.
Even better if you have:
MBA/Master’s degree in computer science, data science or an AI-related discipline.
Black or Green Belt in Lean | Six-Sigma.
Extensive knowledge of Verizon key business drivers, processes, and systems.
Five or more years of experience in Telecom, customer service, retail sales, supply chain and/or Marketing.
In-depth theoretical and practical knowledge in a few select areas from across the AI spectrum.
Excellent analytical, project management, problem-solving and communication skills.
A proven track record of designing, developing and deploying enterprise solutions, which include components across the Artificial Intelligence spectrum such as Advanced Analytics, Machine Learning and Data Science.
Ability to work independently, efficiently and effectively under extreme time constraints and deliver results by critical deadlines.
Strong leadership abilities and documented management success record.
Proficiency in engaging and influencing large teams and functional leaders.
Strong competency in Verizon systems, practices and sales and support channels.
Consulting experience working transformational initiatives.
Understanding of AI-related coding languages
Working knowledge of analytical solutions and related technologies (Hadoop, NoSQL, SQL, ElasticSearch, Enterprise Data Warehousing)
Working knowledge of Data Visualization Dashboarding tools: Kibana, Tableau, QLIK, ThoughtSpot, and/or Grafana)
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.