Artificial Intelligence

• Turn AI transformation ambition into adoption that sticks
• Operationalize the business case, outcomes, and partnerships
• Partner closely with technical leads to ensure adoption
• Build change narratives for affected stakeholders
• Own the initiative plan and track progress against goals
• Produce clear, honest status for stakeholders and governance forums

Director, AI Change Adoption

• Act as the go-to AI resource for your assigned team by meeting with stakeholders, understanding their workflows and pain points, and identifying where AI can provide practical value
• Triage incoming AI requests and determine the right path forward, whether that’s building a quick solution yourself, guiding someone to do it, or escalating to the broader AI or platform team
• Design and build low-code AI solutions such as prompts, workflows, agents, and rapid prototypes, then test, iterate, and refine them based on real user feedback
• Lead working sessions and provide hands-on coaching to help teams adopt AI tools, improve how they work, and build their own solutions with confidence
• Analyze AI usage and adoption trends to identify where teams are getting stuck and proactively deliver targeted support and enablement
• Contribute to firm-wide AI initiatives by collaborating with other AI Coaches, supporting internal programs and content, and helping execute trainings, events, and workshops
• Continuously stay current on emerging AI tools and capabilities while expanding your own skill set and sharing best practices across the firm

AI Coach – AI Enablement, Adoption

• Build and evolve TENEX's internal AI platform: a reusable foundation of tools, custom skills, Claude Projects, integrations, and department-specific specialists that scale AI impact across every team.
• Partner with teams across TENEX (Sales, Customer Success, Marketing, Finance, Legal, HR, Detection Engineering, Security Operations, Forward-Deployed Engineering) to surface needs that shape our internal AI platform roadmap.
• Own and execute against a published roadmap. Predictable, visible execution is a core expectation of this role.
• Maintain, expand, and refine our AI work companion based on user feedback and emerging needs.
• Build integrations between Claude and our internal tools (e.g., Ashby, Wonderlic, Fireflies, Asana, Google Chat) using webhooks, MCP connectors, and APIs. Favor reusable patterns over one-off solutions.
• Run enablement: training sessions, documentation, AMAs, and 1:1 onboarding to help every TENEX'er become more AI-native.
• Contribute to AI governance, monitoring, and security tooling decisions as TENEX scales its AI usage.

AI Enablement Engineer

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights.
• Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.
• Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).
• Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.
• Be personally accountable for a finance-verified outcome the client can see in their P&L.
• Build a portfolio of 2–3 marquee CEO accounts as each engagement matures.
• Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome.
• Codify the method after each deployment so the next one requires less ramp-up.

Client Deployment Lead, AI

• Define and ship differentiated product capabilities for a prioritized set of customer and business use cases, with clearly documented success metrics (customer impact, adoption, revenue, efficiency, and risk reduction).
• Own the end-to-end product strategy and roadmap across platforms, applications, and AI-enabled capabilities, aligning firm-wide priorities and measurable outcomes.
• Establish scalable product operating models, including discovery, prioritization, roadmap governance, and delivery cadences across multiple product teams.
• Partner with Engineering and Architecture to ensure products are built on secure, resilient, and extensible platforms with clear technical and data foundations.
• Operationalize product lifecycle management including launch readiness, telemetry, adoption tracking, feedback loops, and continuous improvement.
• Hire, mentor, and lead a high-performing team of Product Managers across core platforms, workflows, and emerging AI capabilities.
• Partner with Knowledge Management, Data, and Engineering teams to translate domain workflows into product requirements, roadmaps, and prioritization frameworks.
• Work closely with Legal, Privacy, Security, and Compliance teams to ensure products meet confidentiality, regulatory, and risk management standards.
• Lead the full product lifecycle including problem framing, user research, requirements definition, delivery, launch, measurement, and iteration.
• Drive alignment across stakeholders including partners, business leaders, engineering leaders, and go-to-market teams.
• Establish and own product success metrics tied to customer outcomes, operational efficiency, and business performance.
• Lead change management and adoption efforts including training plans, playbooks, communications, and executive reporting.
• Publish and maintain product standards, decision frameworks, roadmap artifacts, and internal product guidance.

Director, Product AI – Platforms

• Serve as a strategic advisor across The Cigna Group senior clinical and business leadership, translating enterprise and organizational priorities into actionable strategies.
• Identify emerging trends in clinical care integrating AI, digital health, and other emerging technologies to inform business planning.
• Engage external industry leaders, prospective partners, and other thought partners for strategy development and benchmarking.
• Partner with business units, finance, and other operating partners to create and validate business cases, along with KPIs/success metrics.
• Create and iterate on high-impact presentations, analyses, and briefing documents for C‑suite and enterprise committees.
• Act as a catalyst for change, positioning The Cigna Group clinical team as a strategic growth engine within the broader enterprise.
• Support the program design and refinement of differentiated technology and AI offerings, tailored to specific clinical and business needs.
• Collaborate with matrix partners across Cigna business units, along with operational partners in technology and data and analytics to ensure alignment and execution.
• Ensure operational readiness and scalability of new clinical programs and services.
• Track and report on initiative performance, ensuring alignment with financial and clinical impact goals.
• Develop executive-level communications, including strategy memos and stakeholder updates.

Principal, Enterprise Clinical Technology & AI Strategic Initiatives

• 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 Platform

• Set the multi-year strategy for ML, data, and BI
• Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization
• Manage managers and tech leads
• Run performance management, career development, and retention
• Operate as a peer to VP-level leaders across various functions
• Own the architecture, deployment, and operation of the production ML

VP of AI, ML and Data Strategy

• Drive end-to-end delivery of production AI platforms
• Lead solution architecture, orchestrate model pipelines, and design multi-agent workflows
• Create reusable SDKs and frameworks
• Collaborate across product, engineering, security, and governance teams
• Ensure AI systems are scalable, observable, cost-efficient, and compliant
• Define design patterns and optimize operational pipelines
• Enable internal reuse of proven solutions
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production
• Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals

Senior Artificial Intelligence Engineer

• Own complete AI transformation projects end-to-end
• Manage direct reports through formal performance management
• Serve as primary client relationship owner
• Drive solution development through use case identification
• Proactively drive business development activities
• Oversee practice improvement initiatives
• Facilitate client workshops and capability building activities
• Manage project risks, issues, and changes proactively
• Provide formal coaching to team members

AI Solutions Consulting Lead

• Drive the technical vision, research and engineering execution for the Voice AI platform
• Provide executive technical leadership to a unified research and engineering organization
• Manage and scale a unified Voice AI research and engineering organization distributed across multiple geographies
• Own the entire engineering lifecycle for central, reusable Voice AI models and foundational AI infrastructure
• Define, implement, and track key technical performance metrics to measure engineering success
• Evaluate and integrate cutting-edge Voice AI research and technologies

Director of Voice AI

• Reporting to the Director of Communities and Ecosystem you are the primary commercial architect for SUSE’s most strategic AI relationships (NVIDIA, Intel, AMD)
• Lead the creation of the SUSE AI Factory narrative, developing technical GTM solutions that move at the speed of the AI market
• Identify and productize top use cases into validated "Blueprints" for OEM and GSI partners
• Architect the GTM strategy for our AI Developer Bundles to win mindshare at the workstation level
• Define and execute the "Better Together" narrative
• Author high-fidelity technical content
• Develop specialized training for global teams
• Lead SUSE’s technical presence at key AI shows using data-driven insights
• Assemble and lead a specialized team

AI Partner Marketing

• Build production AI solutions using Claude Code, Claude Cowork, MCP servers, RAG pipelines.
• Work across operational departments (sales, claims, member experience, ops, cyber, finance).
• Prototype fast, demo monthly, ship continuously.
• Contribute to an internal AI marketplace.
• Participate in hackathons, demo days, and a builder culture that treats experimentation as the job.

AI Fellow

• Co-Develop and execute a comprehensive AI strategy, aligned with organizational goals and objectives.
• Collaborate with senior leadership to identify opportunities for AI-driven innovation and growth.
• Lead cross-functional teams to identify business problems and develop AI-powered solutions.
• Work with stakeholders to prioritize AI projects, ensuring alignment with business objectives and strategic priorities.
• Work closely and collaborate with the technology organization to ensure solutions developed align with the business aspirations and can scale across the enterprise.
• Build, lead, and manage a high-performing team to deploy and drive adoption of AI strategies across the organization.
• Collaborate with external partners and vendors to leverage their expertise, technologies, and services to enhance the AI Factory.
• Develop and implement AI governance policies, procedures, and standards to ensure compliance with regulatory requirements and organizational values.
• Identify and mitigate AI-related risks, such as bias, data quality, and security - internally and with third parties.
• Ensure the AI Factory infrastructure and operations meet the company's security and compliance standards, protecting sensitive data and AI models.
• Develop and execute a deployment strategy to ensure AI solutions are integrated into business operations.
• Drive adoption and usage of AI solutions across the organization, ensuring successful change management while coordinating closely with the Technology Organization.
• Develop and track key performance indicators (KPIs) to measure the effectiveness and ROI of AI investments.
• Analyze and report on AI solution performance, identifying areas for improvement.
• Collaborate with data scientists and engineers within the Technology organization to develop, deploy, and manage AI models, ensuring seamless integration with business applications.

VP, AI Factory

• Translate business needs into technical systems solutions and architectural roadmaps
• Work on problems of diverse scope and complexity
• Expert in 24/7 operations with high performing systems
• Spearhead research, evaluation and deployment of AI and GenAI capabilities
• Bridge traditional IT Operations with emerging AI technologies
• Collaborate with Infrastructure and Cloud Operations teams to pilot and integrate AI/GenAI features
• Lead research and evaluation of AI and GenAI tools for Infrastructure Operations
• Develop and lead the strategic roadmap for AI adoption in Infrastructure Operations
• Identify automation opportunities and implement AI-enhanced runbooks

Infrastructure Operations Lead – Cloud and AI GenAI Enablement

• Architect internal productivity revolution and analyze workflows.
• Rapidly prototype and refine agentic solutions.
• Help build and deploy production grade AI agents.
• Integrate AI agents with enterprise resources.
• Define and track productivity & ROI.
• Stay at the forefront of AI developments in the media industry.

Director, Applied AI – Strategy

• Develop and implement AI governance frameworks
• Conduct risk assessments to maintain compliance with firm policies
• Guide the adaptation of AI usage and maintenance protocols
• Monitor changes in the regulatory landscape affecting AI
• Mentor team members on recommended practices in AI governance
• Collaborate with cross-functional teams to enhance program effectiveness
• Evaluate third-party risks associated with AI technologies
• Stay informed on emerging trends in AI and technology

RFM AI Governance Manager

• Lead the strategic direction and execution of impactful initiatives
• Cultivate and maintain impactful relationships with key stakeholders
• Drive business development initiatives to enhance client satisfaction
• Collaborate with industry leaders to shape alliance strategies
• Identify and leverage growth opportunities across various sectors
• Oversee the execution of impactful initiatives within the Alliance portfolio

Data and AI Director

• Lead teams delivering governed Generative AI solutions
• Design testing strategies, evaluation frameworks, and governance controls
• Supervise teams and manage client accounts
• Uphold PwC's values and professional standards

AI Evaluation Engineer, Manager

• Lead a specialized team of contracted engineers to move beyond basic analytics and build agentic workflows and RAG systems
• Architect and deploy Generative AI solutions that eliminate friction in our Go-To-Market (GTM) engine
• Drive the strategy of the AI engineering technical team and manage its execution
• Provide support and guidance to teammates, fostering a culture of technical excellence
• Run internal workshops, drive EnGRAM approvals, create Gemini Gems and agent instruction files
• Own the whole lifecycle of the AI-powered solutions, from build to deployment to performance and cost monitoring
• Constantly review and refine system performance for scalability and cost effectiveness
• Use tools to rapidly prototype AI-native tools that eliminate friction in the sales journey

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