Artificial Intelligence

• Leading the development and implementation of governance frameworks to manage risk and compliance for clients
• Analyzing complex regulatory landscapes to provide strategic advice and solutions
• Managing client engagements, confirming successful planning, budgeting, and execution of projects
• Coaching and mentoring team members to enhance their skills and performance
• Collaborating with leadership to maintain quality and meet client expectations
• Utilizing risk governance knowledge to enhance internal controls and mitigate risks
• Encouraging innovation and technology adoption to improve service delivery
• Addressing conflicts and facilitating difficult conversations with stakeholders
• Upholding professional and technical standards, including adherence to the firm's code of conduct
• Identifying opportunities for improvement and contributing to the firm's success

AI Governance Manager

• Lead the design, development, and deployment of high-impact AI solutions across business lines
• Drive rapid experimentation, prototyping, and pilot execution, converting innovations into enterprise-scale deployments
• Move ideas from experimentation and prototyping into production-ready, commercially viable, enterprise-scale capabilities
• Oversee priority solution domains, including agentic AI, document intelligence, advanced models, and generative AI applications
• Own delivery of measurable outcomes, including revenue growth, cost optimization, efficiency gains, risk reduction, and customer or employee experience improvements
• Lead multi-disciplinary teams across ideation, validation, deployment, scaling, and optimization.
• Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities
• Maintain strong regulatory, risk, ethical, and Responsible AI practices, proactively addressing bias, model risk, privacy, security, and unintended consequences.
• Provide leadership across the full AI lifecycle including in Ideation and early-stage R&D, Experimentation and validation, Production deployment, Enterprise scaling and optimization
• Serve as a senior advisor and integrator across decentralized AI initiatives, ensuring alignment to enterprise strategy and investment priorities
• Collaborate with business lines, product, technology, risk, legal, compliance, and data teams to embed governance and controls into delivery
• Drive enterprise adoption through leadership education, community engagement, “art of the possible” sessions, and use-case discovery
• Build, empower, and harmonize multidisciplinary teams across data science, engineering, product, risk, legal, compliance, and business functions
• Create a culture of innovation, experimentation, accountability, reuse, and continuous learning

Head of AI Delivery

• Lead discovery workshops to clarify business objectives, constraints, and measurable success criteria for AI/ML initiatives
• Translate requirements into end-to-end target-state architectures across data, ML/AI, application integration, security, and governance
• Define pragmatic tradeoffs across accuracy, latency, cost, reliability, privacy, and risk—and communicate decisions to exec and engineering audiences
• Design the data + model lifecycle (pipelines, training/finetuning, serving, monitoring, drift detection, retraining) and the required MLOps/LLMOps foundations
• Establish integration patterns with enterprise systems (APIs/events/workflows, IAM, observability) so solutions are operable and supportable in production
• Partner with security, privacy, and risk teams to embed controls (access, auditability, data handling, responsible AI) into solution designs
• Produce core delivery artifacts (architecture diagrams, reference patterns, implementation roadmap, runbooks) and drive architecture reviews
• Mentor teams and build reusable assets/accelerators (reference architectures, templates, evaluation scorecards) to scale repeatable delivery quality

AI-ML Director

• Lead, coach, and develop a team of Dealership Success Managers across East Coast regional territories
• Drive retention, adoption, expansion, and overall customer success across the dealership portfolio
• Set clear performance expectations and hold the team accountable to results
• Partner closely with internal teams to ensure a consistent and high-quality customer experience
• Build trusted relationships with dealership leaders and executive stakeholders
• Use technical understanding to help customers and teams adopt Podium’s AI solutions effectively
• Translate customer goals into action plans that create measurable value and business impact
• Support team members in navigating complex customer situations, escalations, and renewal opportunities
• Drive operational rigor across the team through planning, coaching, and execution
• Travel regularly to support customers, field activity, and team development

Director of Dealership Success – AI

• Developing and implementing AI-powered contact center solutions using tools such as Dialogflow and Amazon Lex
• Designing and prototyping user interfaces with a focus on usability and accessibility, utilizing Figma and HTML5
• Conducting user research and analysis to inform the design and customization of interactive systems
• Collaborating with cross-functional teams to integrate Agentic AI protocols and enhance customer experience strategies
• Creating and refining mock-ups and prototypes to align with client requirements and feedback
• Analyzing industry trends to identify opportunities for innovation in user interaction engineering
• Leading the development of natural language interfaces and voice design for enhanced user engagement
• Utilizing AngularJS frameworks to build responsive and dynamic web applications
• Managing workflow development and analysis to optimize processes and improve efficiency
• Applying human-centered design principles to create intuitive and user-friendly digital products

Senior Associate, Conversational AI, Agentic AI

• Leading the development and implementation of AI-powered contact center solutions to enhance customer interactions
• Managing and guiding teams in the strategic planning and execution of user interaction engineering projects
• Utilizing AngularJS frameworks to create dynamic and responsive user interfaces
• Conducting usability testing and user research to inform design decisions and improve user experience
• Collaborating with stakeholders to gather functional requirements and translate them into technical specifications
• Developing and customizing product designs to meet specific client needs and industry standards
• Applying human-centered design principles to validate accessibility and usability across digital platforms
• Analyzing industry trends to identify opportunities for innovation and improvement in AI and user interaction technologies
• Coaching and mentoring junior staff to foster professional growth and enhance team performance
• Building and maintaining strong relationships with clients to deliver exceptional service and support

Manager, Conversational AI and Agentic AI

• Facilitate development of AI strategies and roadmaps aligned to agency mission, priorities, and operational realities
• Advise leadership on AI investment planning, use case prioritization, and value realization
• Lead stakeholder engagements to assess organizational readiness, data maturity, and change considerations
• Translate complex AI concepts into clear, actionable recommendations for business and non-technical audiences
• Identify and define high-impact AI use cases across programs, operations, and service delivery
• Support evaluation and selection of AI technologies and solutions, including vendor and platform considerations
• Develop frameworks for responsible AI adoption, including governance, risk, and oversight
• Facilitate workshops and working sessions to build alignment across business, IT, and data teams
• Support early-stage implementation planning, including operating model, workforce impacts, and adoption strategy

Senior Consultant – AI Strategist

• Oversee, influence, and drive execution of large-scale strategic initiatives across Veralto’s Operating Companies
• Build PMO, governance, structure and frameworks that ensure programs are delivered on time, on budget, and aligned to business objectives
• Support the development of scalable, organization-wide frameworks and delivery models for AI, data, and emerging technology initiatives that drive value and positively impact P&L
• Partner with operating company leadership to oversee execution of enterprise-wide strategic initiatives and transformation programs
• Ensure programs remain on track across scope, timeline, budget, risks, and business outcomes
• Establish governance structures, reporting cadences, and escalation mechanisms
• Drive cross-functional alignment across business, IT, operations, and external partners
• Partner with consulting firms, SIs, and service providers supporting enterprise initiatives
• Support executive review of partner performance and delivery effectiveness
• Help catalog and organize enterprise efforts to reduce duplication and identify scalable opportunities
• Develop executive-level reporting, dashboards, and strategic updates

Director, Enterprise Strategic Programs – ERP, PMO, AI

• Navigating complex regulatory landscapes to provide advice and solutions for clients
• Confirming regulatory compliance and managing risks effectively for client organizations
• Enhancing internal controls to mitigate risks and improve governance structures
• Applying a learning mindset to develop skills in corporate governance and risk management
• Gathering information from diverse sources to analyze facts and discern patterns
• Building commercial awareness and understanding how the business operates
• Upholding professional and technical standards, including PwC's code of conduct and independence requirements
• Adapting to fast-paced environments and collaborating with diverse teams and clients
• Taking ownership of tasks and consistently delivering quality work that drives value for clients

AI Governance Associate

• Navigating complex regulatory landscapes to provide risk management solutions for clients
• Building and maintaining meaningful client relationships to understand and anticipate their needs
• Utilizing critical thinking to break down complex concepts and develop actionable insights
• Applying risk governance methodologies to enhance internal controls and mitigate risks
• Interpreting data to inform strategic recommendations and support decision-making processes
• Upholding professional and technical standards in alignment with firm guidelines and independence requirements
• Collaborating with teams to generate innovative ideas and solve regulatory compliance challenges
• Mentoring junior team members to foster their development and enhance team performance

Senior Associate, AI Governance

• Translate enterprise technology and business strategies into an actionable portfolio
• Establish execution patterns for AI and automation programs
• Build and run an enterprise operating model that balances execution discipline with agility
• Build executive-grade dashboards and performance views
• Ensure clear adoption ownership and business outcomes for major initiatives
• Lead, coach, and grow SPO leaders, PMs, and execution leads

Staff Vice President – Enterprise Technology Transformation, AI Execution

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Lead workflow transformation programs across Zeno's offices
• Facilitate working sessions with teams and stakeholders to map workflows
• Design and deliver training programs, workshops and best practices
• Evaluate AI tools, platforms and vendor solutions
• Monitor adoption, identify barriers and refine programs that drive lasting behavioral change
• Support client teams in AI-related conversations
• Help ensure AI tools and workflows align with company policies

Senior Vice President, AI & Technology Programs

• develop AI agents that perform real actions for companies
• design Agent Intelligence with AI/LLM technologies
• support the entire Technical Lifecycle, collaborating with Builders
• drive strategic impact by partnering with clients
• iterate and deploy solutions, taking ownership from day one

AI Builder

• Own the enterprise AI feasibility function, providing authoritative guidance on Model selection (traditional ML, GenAI, agentic AI)
• Approved platforms, tools, and services
• Architectural patterns and trade‑offs
• Act as the primary technical advisor to business and technology teams evaluating AI use cases.
• Ensure teams are guided toward enterprise‑approved solutions that accelerate delivery and reduce long‑term operational risk.
• Identify delivery blockers early (data readiness, platform onboarding, governance dependencies) and drive resolution.
• Establish and maintain AI playbooks, standards, and best‑practice frameworks for internal teams.
• Sponsor and guide enterprise‑wide workshops, training, and knowledge‑sharing initiatives.
• Provide consultative guidance on AI solutions and architecture, partnering with product, engineering, and business teams to shape use cases, design patterns, and implementation approaches.
• Act as a trusted advisor to teams evaluating AI feasibility, trade‑offs, and architectural alignment with enterprise standards.
• Build and lead an AI Center of Excellence to drive talent strategy, mentorship, and continuous capability development.
• Provide leadership and oversight for enterprise MLOps practices, including CI/CD, model registry, and automated rollback.
• Ensure AI systems meet regulatory, security, and privacy standards in collaboration with risk and compliance stakeholders.
• Define and review SLAs, KPIs, and observability standards for AI services, ensuring operational excellence and accountability.
• Set the architectural vision for a scalable, modular AI ecosystem spanning data ingestion, feature stores, training infrastructure, and inference.
• Champion standards for model governance, including versioning, data lineage, explainability, and auditability.
• Evaluate emerging AI technologies and approaches, and define adoption roadmaps aligned with business value and risk tolerance.
• Own the strategic evolution of the on‑prem AI platform stack (e.g., Airflow, Elasticsearch) and its operating model.

AI/ML Deployment Leader

• develop AI agents that perform real actions for major companies
• design agent intelligence, including prompts and reasoning
• support the technical lifecycle through collaboration with other builders
• partner with clients to convert business challenges into solutions
• own and iterate projects from day one

AI Builder, Emerging Talent

• Build and lead market growth strategy for P&C insurers, reinsurers and insurtechs, to include establishing and owning senior prospect relationships.
• Engage C-suite and VP stakeholders (Claims, Data, Underwriting, Risk) as a trusted advisor, not a vendor.
• Operate as a strategic advisor on AI adoption, from use case identification to production deployment and model governance.
• Lead executive discussions on how AI, particularly human-in-the-loop approaches, can improve efficiency, accuracy, and regulatory defensibility.
• Align complex stakeholder groups across claims, actuarial, IT, data science, and compliance functions.
• Identify and drive expansion opportunities within existing accounts.
• Own new logo acquisition, account expansion and P/L management across enterprise P&C clients in the US and Europe.
• Develop strategic account plans that scale from initial use cases to enterprise-wide AI programs.
• Own the full commercial lifecycle: discovery, solution framing, proposal development, and executive presentations.
• Navigate procurement processes, RFPs, vendor risk frameworks, and regulatory constraints effectively.
• Partner with internal teams to craft tailored, high-impact solutions for insurance clients.
• Identify high-impact AI use cases across the insurance value chain, including:
• - Claims document processing and intelligent document understanding
• - Aerial and satellite imagery analysis for property assessment
• - NLP for policy, coverage, and regulatory interpretation
• - Underwriting data enrichment and risk model validation
• - FNOL automation and subrogation workflows
• Lead discovery sessions and workshops to uncover transformation opportunities.
• Translate operational and regulatory challenges into scalable AI solutions.
• Collaborate closely with data science and engineering teams to ensure successful execution.
• Maintain accountability for delivery quality, timelines, and client satisfaction.
• Stay at the forefront of AI trends in insurance, including fraud detection, intelligent document processing, and risk modeling.
• Represent CloudFactory in industry forums, client workshops, and executive discussions.
• Demonstrate strong awareness of regulatory frameworks (e.g., NAIC guidelines, EU AI Act, model risk management standards).
• Feed market insights back into product development and go-to-market strategy.
• Lead and influence cross-functional teams across consulting, data science, and delivery.
• Foster a culture of collaboration, innovation, and continuous improvement.
• Contribute to knowledge sharing and best practices across engagements.

Client Principal, AI Consulting – Property & Casualty Insurance

• Lead the development and execution of the AI transformation program for the Grid Systems Integration (GSI) business
• Collaborate with the Chief Operating Officer (COO) and Business Line Lead to define the AI strategy and translate it into concrete initiatives
• Identify and prioritize high-value use cases
• Restructure workflows and operating models in line with the strategy and a Lean mindset
• Drive deployment of AI initiatives and promote organization-wide adoption
• Ensure measurable business impact to make AI a driver of sustainable competitive advantage
• Develop strategic external partnerships

AI Transformation Leader

• Develop and maintain Vizient’s enterprise AI tooling strategy and roadmap aligned with AI-DLC, architecture, security, governance, product, and delivery priorities.
• Identify tooling gaps, duplication, interoperability issues, adoption barriers, operational risks, and consolidation opportunities.
• Recommend tooling priorities, investment needs, lifecycle actions, and rationalization opportunities to leadership.
• Own the enterprise lifecycle framework for AI tools from evaluation and onboarding through adoption, optimization, renewal, and retirement.
• Establish standards for AI tool intake, ownership, onboarding, access model definition, integration readiness, documentation, observability expectations, support readiness, lifecycle reviews, and retirement.
• Maintain an enterprise inventory of AI tools, capabilities, owners, users, licenses, integrations, costs, risks, controls, vendors, and operational status.
• Partner with Architecture, Security, Infrastructure, Governance/Compliance, Procurement, Legal, Finance, Product, Engineering, Platform, LLMOps/AIOps and vendor teams to align AI tooling with enterprise requirements.
• Coordinate vendor and platform engagement for AI tooling, in partnership with Procurement, Legal, Finance, and accountable platform owners, including vendor assessments, support models, escalation paths, roadmap awareness, renewal planning, and performance tracking.
• Track AI tooling spend, license utilization, adoption patterns, renewal timelines, risks, and cost optimization opportunities.
• Facilitate the intake, prioritization, and cross-functional review of AI tooling requests, lifecycle decisions, implementation dependencies, and operational readiness needs.

AI Tooling Strategy – Lifecycle Management Director

• Translate business priorities into practical AI solutions that improve how work gets done.
• Identify high-value opportunities to apply generative AI across workflows, deliverables, and business processes.
• Build and iterate on working prototypes, pilots, and lightweight AI-enabled tools using modern development environments, LLM APIs, agentic workflows, and related technologies.
• Partner closely with AI technical teams, engineering, product, and business stakeholders to transition validated prototypes into scalable, production-ready solutions where appropriate.
• Support successful adoption of AI solutions by creating practical guidance, training, onboarding materials, and usage playbooks.
• Help ensure AI solutions are designed and applied in ways that are responsible, compliant, and appropriate for a regulated healthcare communications environment.
• Apply strong understanding of healthcare communications to shape relevant and impactful AI solutions.

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