Verizon

Data Scientist

• Own and perform specific analytics tasks
• Lead and drive end-to-end AI/ML use-case solutions with guidance from a lead or manager
• Develop advanced statistical models, machine learning algorithms, and computational algorithms based on business initiatives
• Drive data-derived insights across the business domain
• Direct data gathering, assess data validity, and synthesize data into large analytics datasets
• Analyze structured and unstructured data using data mining, statistical, machine learning, deep learning, data visualization, and digital/web analytics tools and techniques
• Build and train statistical models and machine learning algorithms
• Perform operationalization tasks such as wrapper scripts, REST services, triggers, and monitoring
• Prepare supporting documents and reports
• Mentor or guide one to two team members on technical aspects as needed

Senior Data Scientist

Full-stack Engineer

• Drive architecture, innovation, and high-impact deployment across enterprise verticals including Sports & Venues, Department of Defense, Healthcare, Media, and Manufacturing
• Lead projects involving advanced enterprise use-case solutions on private and public wireless networks
• Contribute to technology roadmapping, intellectual property ideation, and standardized deployment architectures
• Work with enterprise customers, technology partners, product leadership, and system integrators to architect, validate, and scale solutions on Verizon's network assets
• Lead end-to-end lab and field trials of emerging network technologies, including portable kit deployment, RF and core integration, data collection, and performance reporting
• Design and engineer infrastructure for critical trial scenarios
• Lead complex remote or rapid-response deployments
• Establish kit standards, support requirements, and deployment best practices
• Engage enterprise clients and high-profile stakeholders to solve connectivity and operational-insight challenges
• Collaborate across Technology & Product Development, Network Operations, Verizon Business Group, and executive leadership
• Build cohesive, monetizable solutions and drive product innovation and revenue growth

Principal Engineer – Enterprise Solution Innovation

• Own and perform specific analytics tasks
• Lead and drive end-to-end solutions for AI/ML use cases with guidance from a lead or manager
• Drive data-derived insights across the business domain
• Develop advanced statistical models, machine learning algorithms, and computational algorithms based on business initiatives
• Direct data gathering, assess data validity, and synthesize data into large analytics datasets
• Analyze structured and unstructured data using data mining, statistical, machine learning, and deep learning tools
• Use data visualization, digital/web analytics tools and techniques, and storytelling
• Build and train statistical models and machine learning algorithms
• Perform operationalization tasks, such as wrapper scripts, REST services, triggers, and monitoring
• Prepare supporting documents and reports
• Mentor or guide one to two team members on technical aspects as needed

Performance Marketing

• Translate market and business needs into a winning digital media strategy
• Develop and maintain relationships across Verizon, serving as a point of contact for digital and paid search campaign inquiries
• Develop and deploy an AI strategy using AI and large language models to connect consumers to commerce outcomes
• Partner with industry leaders to develop Verizon's internal media-related solutions
• Lead specialists executing data, supply, and technology operations across Verizon's in-house digital media team
• Assist with strategic planning and investment for Verizon's paid search team
• Help scale the paid search function and shape the future of search at Verizon

Associate Director, Paid Search

Sales

• Generate retail sales by using passion for cutting-edge technology and exceptional customer service
• Learn and uncover customers' needs by creating connections and asking questions
• Present product insights and solution recommendations for complete sales solutions
• Close sales using communication skills and intuitive technology solutions
• Develop through ongoing training and upskilling in merchandising and inventory operations
• Grow the customer base through outbound calls and text messages to current Verizon customers
• Engage with the community at off-site Verizon-sponsored events
• Work onsite at defined Verizon retail location(s)
• Work 40 scheduled hours weekly

Retail Sales Associate

Consultant

• Support inventory management and planning for Value Indirect’s distribution partners across Exclusive and Authorized Retail
• Support demand planning for the Value Indirect channel, including weekly forecast submissions, external partner collaboration, and trend projections impacting supply needs
• Provide data analytics support on SKU-level in-stock rates, gross add mix, and warehouse availability through weekly insights reports
• Manage monthly inventory allowance programs and provide sales trends and insights for strategic decisions
• Meet weekly with external distribution partners
• Support manual inventory orders and device unlocking requests through stakeholder collaboration across Verizon
• Identify and develop internal and external process improvements for inventory allocation, management, and distribution
• Deliver high-quality work addressing intended criteria, goals, and objectives
• Communicate effectively with stakeholders, team members, and leadership

Consultant – Value Indirect Inventory Management

• Generate retail sales using cutting-edge technology knowledge and exceptional customer service
• Learn and uncover customers' needs by creating connections and asking questions
• Present product insights and solution recommendations for complete sales solutions
• Close sales using communication skills and intuitive technology solutions
• Develop through ongoing training and up-skill in merchandising and inventory operations
• Place outbound calls and send text messages to interested current Verizon customers
• Engage with the community at off-site Verizon-sponsored events to expand the customer base

Artificial Intelligence

• Lead Verizon’s enterprise-wide efforts to ensure AI and machine learning technologies are developed, deployed, and scaled safely, ethically, and equitably
• Define, scale, and manage Verizon’s enterprise-wide Responsible AI framework aligned with global standards such as NIST AI RMF
• Co-chair the AI Governance Council
• Facilitate strategic reviews of high-impact AI use cases
• Establish go/no-go criteria for model deployment
• Design and implement AI auditing processes focused on bias mitigation, algorithmic fairness, transparency, and explainability
• Partner with Legal, Privacy, and Public Policy teams on AI regulatory compliance
• Lead cross-functional AI red-teaming and stress-testing initiatives
• Collaborate with ML engineers and product managers to embed Responsible AI checkpoints into CI/CD pipelines and the MLOps lifecycle
• Develop training programs on AI ethics, data privacy, and responsible development practices

Associate Director – Responsible AI

• Define and drive measurable business value across Verizon Business Marketing AI initiatives
• Work with AI product owners and stakeholders to translate AI investments into financial and operational outcomes
• Develop repeatable value-creation frameworks, ROI models, value narratives, and collateral
• Lead and develop AI agents to automate ROI, TCO, value models, and KPI scorecards
• Drive revenue growth and marketing efficiency through AI use cases across VBG marketing
• Partner with product owners from ideation and business case development through measurable impact
• Deliver against financial impact, churn reduction, ARPU/ARPA growth, AI adoption, time-to-value, and AI model or agent performance targets
• Create business cases and report on revenue lift, cost savings, ROI, and operational efficiency
• Analyze trends to identify opportunities and bottlenecks and deliver insights
• Collaborate with cross-functional teams and product owners to translate business problems into AI-driven solutions
• Champion adoption of AI tools and insights, process improvements, best practices, and scaled AI use cases
• Establish governance for responsible AI and value measures
• Design, track, and optimize financial benefit realization models for enterprise AI initiatives

Senior Manager, AI Value Program

• Define and drive measurable business value across Verizon Business Marketing AI initiatives
• Work with AI product owners and stakeholders to translate AI investments into financial and operational outcomes
• Build the value creation function through repeatable frameworks, ROI models, value narratives, and collateral
• Lead and develop AI agents to automate ROI, TCO, value models, and KPI scorecards
• Drive revenue growth and marketing efficiency through AI use cases across Verizon Business Group marketing
• Partner with product owners from ideation and business case development through measurable impact
• Deliver against financial impact, churn reduction, ARPU/ARPA growth, AI adoption, time-to-value, and AI model or agent performance targets
• Create business cases and report on revenue lift, cost savings, ROI, and operational efficiency
• Analyze trends to identify opportunities and bottlenecks and deliver insights
• Collaborate cross-functionally to translate business problems into AI-driven solutions
• Champion adoption of AI tools and insights, process improvements, best practices, and scalable AI use cases
• Establish governance for responsible AI and value measurement
• Design, track, and optimize financial benefit realization models for enterprise AI initiatives

Communications

• Develop and execute integrated communication strategies for key B2B product launches, marketing initiatives, and commercially critical strategies such as Verizon AI Connect
• Drive proactive media relations and position Verizon Business as a market leader across business, technology, and enterprise trade outlets
• Advise senior leaders through message discipline, briefing materials, and executive positioning for media appearances and industry keynotes
• Build and maintain narrative architecture, including message maps, proof points, Q&As, and thought leadership
• Ensure consistent messaging across internal, external, and partner channels
• Track campaign sentiment and evaluate earned media reach
• Use performance metrics to continuously optimize communications strategies
• Manage rapid-response messaging and protect brand equity in fast-moving, competitive technology landscapes
• Direct agency partners
• Collaborate with cross-functional marketing and product teams
• Guide project workstreams with agility and strategic clarity

Associate Director, Business Communications

• Design, build, and deploy innovative Data Science, Generative AI, and Agentic AI projects
• Lead the design, development, and validation of AI/ML models
• Deploy models in real-time and batch processing environments
• Track production model performance and drift
• Engage business stakeholders to align AI initiatives with strategic goals
• Identify new business opportunities for AI applications
• Provide technical leadership in predictive modeling, machine learning, and emerging AI technologies
• Research, test, and adopt new AI theories, methodologies, and frameworks
• Lead data science projects optimizing product personalization, marketing effectiveness, channel strategy, customer experience, and operational efficiency

Senior Engineer Consultant – AI Science

AI Engineer

• Drive development and implementation of AI-infused network use cases and ML solutions
• Provide technical expertise and strategic thinking to advance AI/ML capabilities
• Modernize existing AI applications and build new applications
• Collaborate with Product Management, Data Scientists, and Data Engineers
• Implement, performance-tune, and scale AI/ML applications
• Guide planning, configuration, deployment, and operation of cloud solutions
• Contribute to industrializing data science and AI capabilities across operations
• Lead model development, feature engineering, model validation, deployment, and model observability
• Mentor and guide teams delivering AI/ML solutions
• Participate in internal and external forums promoting innovation and knowledge sharing
• Present AI/ML solution narratives to executives
• Rapidly diagnose issues and build scalable systems using modern developer environments, multi-agent orchestration, and internal model provisioning endpoints
• Prototype agents, diagnose integration hurdles, and deploy fixes using AI-augmented developer tooling
• Build, configure, and audit local agent orchestrators, tool definitions, and developer environments
• Support cloud integrations, service endpoint configurations, and API consumption across GCP and internal hybrid infrastructures
• Investigate, design, test, and implement efficient software solutions

Principal Engineer – AI/ML Engineering

• Develop and execute comprehensive, integrated communication strategies for key B2B product launches, marketing initiatives, and commercially critical strategies such as Verizon AI Connect
• Drive proactive media relations and leverage journalist relationships across business, technology, and enterprise trade outlets
• Act as a strategic communications partner to senior leaders
• Provide message discipline, briefing materials, and executive positioning for media appearances and industry keynotes
• Build and maintain narrative architecture, including message maps, proof points, Q&As, and thought leadership
• Ensure consistent messaging across internal, external, and partner channels
• Track campaign sentiment and evaluate earned media reach
• Use performance metrics to continuously optimize communications strategies
• Manage rapid-response messaging and safeguard brand equity during crises and issues
• Direct agency partners
• Collaborate with cross-functional marketing and product teams
• Guide project workstreams with agility and strategic clarity