Artificial Intelligence

• Lead end-to-end delivery of Agentic AI and Generative AI initiatives from discovery and solutioning through deployment, adoption, and production support
• Design and oversee autonomous and multi-agent solutions using large language models, retrieval-augmented generation, reasoning workflows, tool integration, and orchestration frameworks
• Define AI transformation roadmaps, delivery plans, success metrics, governance standards, risk controls, and reusable accelerators
• Guide responsible AI practices covering security, privacy, explainability, human oversight, hallucination controls, and regulatory compliance
• Lead legacy-to-cloud data modernization, data migration, platform consolidation, and enterprise data transformation programs
• Define and implement data governance, data quality, metadata management, master data management, data lineage, and lifecycle management capabilities
• Oversee modernization of data lakes, data warehouses, lakehouse platforms, analytics ecosystems, and real-time data processing solutions
• Drive DataOps practices, reusable ingestion and transformation frameworks, and standardized ETL/ELT delivery patterns
• Provide technical oversight for AWS cloud-native data and AI platforms
• Drive architecture decisions across data engineering, APIs, microservices, event-driven integration, containerization, infrastructure as code, and cloud security
• Establish CI/CD, DevOps, MLOps, observability, reliability, performance, and cost-optimization practices
• Manage cross-functional global teams of AI Engineers, Data Engineers, Data Scientists, Architects, Product Owners, Business Analysts, QA, DevOps, and domain SMEs
• Own program planning, estimation, budgeting, staffing, delivery governance, dependency management, risk mitigation, and executive reporting
• Facilitate business and technology workshops to identify high-value AI and data modernization opportunities
• Communicate roadmaps, architecture decisions, delivery status, risks, and business outcomes to senior stakeholders and clients
• Mentor teams and promote engineering excellence, delivery discipline, innovation, and reusable solution patterns
• Partner with P&C insurance functions to identify AI-led transformation opportunities
• Lead initiatives supporting underwriting automation, claims intelligence, fraud detection, pricing analytics, risk insights, and customer servicing
• Align delivery with insurance data standards, governance expectations, privacy requirements, and regulatory controls

AI Delivery Lead

• Configure FAST tool sets to implement AI-powered insurance components, including policy administration, new business processing, and distribution management workflows
• Leverage FAST's SOA component library to solve complex business problems with AI enhancements
• Configure AI solutions within FAST and cloud-based AI platforms such as AWS Bedrock
• Design, test, and troubleshoot AI configurations, including prompt engineering, model selection, integration parameters, and performance optimization
• Develop and maintain configuration documentation and best practices
• Serve as a technical point of contact for customers implementing AI features
• Gather customer feedback, monitor usage patterns, and translate needs into configuration improvements and product recommendations
• Stay current with AI platform capabilities, emerging tools, and industry best practices
• Evaluate new features and configuration options
• Monitor AI solution performance and customer engagement metrics
• Analyze usage patterns, identify optimization opportunities, and recommend data-driven enhancements
• Collaborate with Product Owners, engineers, and customer teams
• Participate in agile ceremonies and contribute to product backlog refinement

Business Configuration Analyst – 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

• Lead a unified Data Management and Architecture function within Global Development IT
• Define strategy for data platforms, AI architecture, and data governance
• Ensure the technology landscape supports secure, scalable, and compliant data capabilities
• Partner with Enterprise Data & AI, Enterprise Architecture, Information Security, and Global Development leadership
• Own and lead the unified Data Management & Enablement function
• Integrate data engineering, analytics, data repository, data delivery, and architecture capabilities into a single team
• Drive data platforms and standards, including progress toward a validated centralized data repository
• Build and scale data engineering and analytics capability, including the India-based Global Capability Center team
• Serve as Global Development’s data and AI architecture authority
• Define architecture strategies for data platforms, pipelines, and solutions
• Provide domain-specific solution architecture aligned with Enterprise Architecture standards
• Define integration, API, and data exchange patterns
• Represent Global Development at the Architecture Review Board and present proposed investments
• Enforce data quality, lineage, classification, access, regulatory compliance, MDM, and data catalog standards
• Establish data stewardship accountability across Global Development data domains
• Coordinate cross-vertical architecture and Architecture Review Board participation
• Partner on end-to-end solution design and data security architecture
• Build and lead a combined data enablement, engineering, analytics, and architecture team
• Recruit, develop, mentor, and provide technical direction to talent
• Communicate architecture tradeoffs, platform investment needs, and technology implications to leadership
• Prepare executive-level materials for governance forums, steering committees, and senior leadership
• Build relationships with the Office of the CIO and surface technical debt and platform gaps

Executive Director, Data Management, Analytics, AI & Architecture

• Lead advanced statistical, exploratory, and root cause analyses using large, complex healthcare datasets
• Design analytical frameworks, models, and measurement approaches for changing business needs
• Create and improve analytical content for the Evernorth Control Center suite, including enterprise reporting, patient population analytics, and healthcare market insights
• Partner with data scientists, engineers, clinicians, and business leaders to develop analytical solutions
• Translate findings into recommendations that support informed decisions and improved outcomes
• Guide the full solution lifecycle from requirements and development through testing, implementation, and continuous improvement
• Advance team knowledge of emerging analytical methods, healthcare data trends, AI technologies, and data-driven decision support

Artificial Intelligence jobs in New Jersey

AI Delivery Lead

Business Configuration Analyst – AI

Senior Manager, AI Value Program

Senior Manager, AI Value Program

Executive Director, Data Management, Analytics, AI & Architecture

Data Measurement & Reporting, Digital Data & AI