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

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• Lead end-to-end delivery of AI Perception and Skills capabilities, from research conception through production deployment on robot hardware.
• Own the roadmap and success of both teams, setting clear goals and holding yourself and the team accountable for quality, reliability, and pace.
• Accelerate our data flywheel strategy — combining teleoperation, synthetic data, and fleet learning — to systematically expand robot performance and reliability at scale.
• Champion your team's talent, represent their needs to senior leadership, and foster an inclusive environment where engineers feel safe to experiment and learn from failure.
• Drive performance cycles, build individualized development plans, and lead hiring to grow both teams with high-caliber researchers and engineers.

Senior Manager, AI Perception and Skills

• The Director, AI Innovation & Emerging Capabilities leads the scouting, introduction, and scaling of AI and disruptive digital technologies across R&D.
• This role serves as the function's primary horizon scanner and innovation translator, converting external signals into concrete R&D opportunities and building structured pathways from early-stage pilots to scaled capabilities.
• The Director operates with a future-back mindset, ensuring the organization is not caught off-guard by technological disruption but instead positioned to capitalize on it.
• Continuously monitor the external AI and disruptive technology landscape to identify signals, trends, and emerging capabilities with potential R&D relevance.
• Maintain a living map of the external innovation environment including academia, startups, vendors, and adjacent industries.
• Establish and manage a network of external relationships (research institutes, technology partners, innovation ecosystems) to maintain leading-edge awareness.
• Triage and assess emerging threats and opportunities using structured evaluation frameworks before they surface in mainstream discourse.
• Translate complex external technology signals into concise, R&D-relevant opportunity briefs that leadership can act on.
• Identify and articulate capability gaps between the current R&D operating model and what disruptive trends demand.
• Introduce capabilities and approaches that would not organically surface through internal channels, deliberately expanding the organization's aperture of what is possible.
• Develop compelling narratives and business cases for disruptive capabilities, tailored to senior R&D and cross-functional audiences.
• Design and govern a structured pipeline from exploratory pilot to production-scale capability, with defined stage-gates, success criteria, and go/no-go decision logic.
• Lead proof-of-concept and pilot initiatives for high-potential disruptive technologies, ensuring rapid learning cycles and clear value demonstration.
• Partner with delivery and product teams to transition successful pilots into scalable, embedded capabilities that measurably improve R&D execution.
• Define and track performance metrics demonstrating that disruptive capabilities are delivering tangible, quantifiable impact on R&D outcomes.
• Provide R&D leadership with a clear, regularly updated view of the innovation landscape; presenting insights in formats that drive decision-making, not just awareness.
• Serve as a credible internal voice on AI and digital disruption, challenging conventional thinking and advocating for proactive capability investment.
• Contribute to strategic planning cycles by ensuring innovation foresight is embedded as a structural input, not an afterthought.
• Support team operating model design and contribute to intake and prioritization processes.

Director, AI Innovation – Emerging Capabilities

• Develop AI inspiration tears that align with seasonal concepts to visualize artwork placement on garments.
• Support print and craft designers with AI assets (artworks, inspiration, CADs/videos) to meet project deadlines.
• Work closely with the Design Director and Concept Team to build out seasonal concept presentations.
• Take the lead on creating AI sourcing packs for print, craft, graphics, fabric and yarn dyes in alignment with design and development deadlines.
• Help identify opportunities to streamline processes and improve team workflows with AI.
• Conduct research and develop specific artwork designs with AI to realize the Director’s vision.
• Source vintage textiles and artworks, as well as digital image libraries, for inspiration to be used in original artwork designs and AI’s.
• Stay updated with fashion trends, particularly those related to textiles, and incorporate them into artwork while ensuring freshness and brand appropriateness.
• Create and maintain internal reference tools, print/AI overviews, and mood/reference walls as guided by Design Director.
• Assist with seasonal administrative responsibilities, including file archiving and documentation.
• Maintain a clean, organized, and efficient studio workspace.
• Maintain structured and well-organized digital file systems using established naming conventions for easy access across teams.
• Keep up with emerging AI technologies and features to share with and train the wider team.

AI Print CAD Designer

• Translate strategic intent and architectural patterns into working AI solutions and platforms
• Own the end-to-end architecture and implementation shape of major solutions
• Lead technical design and execution across complex initiatives as architect, tech lead, and delivery driver
• Ensure seamless integration across platforms and services, data systems, AI models, and business workflows
• Direct day-to-day technical execution, review work to Pfizer's quality and security bar
• Identify and challenge incomplete or fragile architectures, solutions that are not production-ready
• Translate business problems into feasible, high-impact technical solutions

Director, Applied AI

• 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

• Partner with stakeholders to understand business needs, operational pain points, and workflow inefficiencies across Marketing and Communications
• Analyze current-state workflows to identify opportunities for AI-enabled process improvement, automation, and redesign
• Serve as a consultant to teams on how to evolve ways of working through AI, agents, and automation
• Facilitate discussions that clarify problems, desired outcomes, and opportunities for workflow transformation
• Translate business needs into clear use cases, workflow requirements, acceptance criteria, and success metrics
• Assess solution feasibility, expected value, scalability, effort, and risk
• Prioritize opportunities in alignment with team needs, business impact, and the broader AI strategy
• Help manage a pipeline of solution opportunities from intake through recommendation and delivery
• Design, build, test, and deploy AI-enabled solutions including agents, automations, workflow improvements, and supporting tools
• Own implementation for assigned solutions, coordinating requirements, testing, stakeholder input, and rollout
• Iterate on solutions based on performance, feedback, and evolving business needs
• Maintain and enhance deployed tools and workflows to improve effectiveness and adoption over time
• Ensure solutions align with enterprise policies, governance requirements, and responsible AI practices
• Support teams in adopting redesigned workflows and integrating AI-enabled solutions into day-to-day operations
• Monitor usage, outcomes, and performance to identify gaps and opportunities for refinement
• Document reusable patterns, use cases, and recommendations that can be scaled across the function

Business Communications Advisor – AI Workflow and Solutions

• Lead the development and maintenance of the enterprise data domain model, taxonomy, and ontologies to ensure shared understanding, semantic consistency, and discoverability of data and knowledge assets.
• Design and evolve information and semantic models that make enterprise data AI‑ready, supporting use cases ranging from traditional analytics and BI to applied machine learning and LLM‑based experiences (e.g., search, retrieval‑augmented generation, and copilots).
• Operationalize data models, taxonomies, and semantic structures through the Enterprise Data Catalog (Alation).
• Define and enforce standards for data modeling, taxonomy, nomenclature, and semantic structures to ensure consistency and interoperability across business domains and downstream consumption patterns.
• Provide authoritative guidance on semantic conflicts—resolve definition discrepancies, harmonize terms, and mediate cross‑domain dependencies to establish trusted, reusable business meaning.
• Contribute to the enterprise data product framework by defining domain boundaries, shared dimensions, and semantic contracts that enable cross‑domain interoperability and AI consumption.
• Confirm and document prioritized metadata elements for key business processes, analytical use cases, and AI‑enabled workflows, ensuring alignment with governance standards and risk expectations.
• Identify simplification opportunities—reduce redundancy, converge overlapping datasets, and promote canonical sources to improve trust, efficiency, and reusability across analytics and AI platforms.
• Partner with analytics, data science, and AI engineering teams to ensure information architecture, metadata, and semantic context are sufficient to support explainable, governed, and trustworthy AI outcomes.
• Serve as a thought partner, provide insights from modeling, catalog adoption, and AI enablement to shape governance strategy and roadmaps.

Knowledge Architect

• Own the initiative plan and key milestones. Drive cadence and ceremonies, track progress against goals, manage dependencies and critical path, and keep delivery on schedule.
• Surface risks early, drive them to resolution, and escalate with options. Remove blockers across teams and functions before they slow the work.
• Coordinate vendors, contractors, and full-time resources against the plan. Track scope, deliverables, and spend; hold partners to commitments; flag capacity gaps early.
• Be the connective tissue between the delivery team, the business sponsor, and Medical, Legal, Regulatory, Compliance, and Privacy. Facilitate decisions, capture them, and make sure they stick.
• Prepare and run delivery and decision reviews. Make the state of the work legible to leadership — what is on track, what is at risk, and what decision is needed.
• Support adoption of AI-enabled ways of working within the initiative, and capture learnings for reuse across the portfolio.
• Produce clear, honest status for the VP, business sponsor, and governance forums. Maintain the single source of truth on status, decisions, and risks.

Director, AI Product – Program Facilitator

• 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

• Help develop AI-enabled tooling to automate and streamline manual data processing tasks used by the Catastrophe Advisory team
• Create capabilities to compare and reconcile different versions of data, producing standardized outputs and summary controls
• Collaborate with cross-functional stakeholders to integrate the tools into existing workflows and ensure usability
• Drive iterative prototyping, testing, and refinement to improve reliability, performance, and user adoption
• Produce user-facing documentation, training materials, and ongoing operational support for deployed tools
• Establish and maintain strong relationships with colleagues and stakeholders
• Take part in internal initiatives, offering ideas and feedback to improve outcomes

AI Integration Specialist, Fall Co-op

• 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

• Develop and implement AI-driven capabilities that enhance Security Operations Center (SOC) effectiveness
• Lead and respond to escalated cyber security alerts, cyber incidents, or related security investigations
• Identify real-time complex attack patterns and suggest mitigation strategies
• Facilitate security operations and incident response technologies and methodologies
• Develop, manage, maintain and enhance security controls for the security platforms
• Build APIs, integrations, and automation workflows to support AI-driven capabilities
• Collaborate with security, engineering, and platform teams to deliver AI-enabled solutions
• Mentor junior team members to improve their technical acumen

Senior AI Threat Detection Engineer

• Demonstrate advanced expertise in AI and lead detailed discussions with technical and business stakeholders
• Engage confidently with senior and C-level leaders and orchestrate complex opportunities across internal and external teams
• Influence and guide deal strategy, partnering closely with account executives to support territory planning, pipeline creation, opportunity progression, and forecasting
• Drive field execution of programs across the Genesys AI portfolio including sales campaigns and enablement initiatives
• Serve as a trusted subject matter expert and model best practice sales motions that elevate capability across the wider team
• Provide hands on support for positioning, presentations, pricing, proposals, and other key materials related to Genesys AI and Experience Orchestration
• Lead customer workshops that shape AI use cases, prioritisation frameworks, and pilot opportunities
• Act as the voice of the customer by capturing insights and partnering with cross functional teams in marketing, product, customer success, and professional services
• Identify strategic priorities and develop AI led opportunity pathways aligned to customer objectives
• Ad-hoc duties as required by management

AI and Experience Orchestration Director – Sales Overlay

• Lead a team of product owners and product managers focused on complex end-user experiences and emerging digital commerce capabilities.
• Help lead the development of new digital commerce capabilities from concept through pilot and scale, enabling AI-driven experiences that connect consumers, brands, and financing solutions within emerging commerce platforms.
• Maintain clarity for the team to ensure successful delivery of new and existing digital capabilities and collaborate with stakeholders across technology, platform, and business teams to align product goals.
• Manage the product lifecycle from ideation to launch, helping shape the company's strategy for AI-enabled commerce experiences.

Senior Manager – Product Agentic AI

• Work with librarians to develop an online AI literacy tutorial on Canvas
• Interview librarians about workflows and develop GenAI use cases, projects, and tools to support subject librarians' work
• Present a workshop to librarians about what you develop and how to use the tools
• Join AI Literacy Working Group meetings as schedule allows
• Provide support for developing guidelines for the assessment and adoption of AI tools as part of the databases and other platforms that the library subscribes and offers access to the campus community
• Get trained on and participate in chat reference to better understand the types of questions coming to the library

AI Literacy Library Intern

• Collaborate with Sr. Consultant and business partners to identify AI opportunities.
• Work with technical teams to explore solutions to business problems through research and applying human centered design methods.
• Work across teams to facilitate the design of a proof of concept and testing plan.
• Ensure alignment around the problem statement and the measures that would determine whether the solution is viable.
• Support translating proof of concept into scaled use and value creation using change management and project management best practices.
• Serve as an advisor and partner for change execution.
• Work with the Sr. AI Consultant and business partners to create and groom portfolios of AI opportunities.
• Support reporting, ongoing prioritization, and facilitating value capture tactics.
• Other duties as assigned or requested.

Artificial Intelligence Consultant

• Researching high-value audiences
• Building automated AI workflows from scratch
• Architecting technical demos for sales team
• Managing and improving demo environment
• Crafting compelling product demos for high-value prospects

Growth Marketing, AI Co-Op – 6-Month Duration

• Lead the operational transition of the AI Champions program into the AI Accelerators model, supporting updated structure, engagement approach, and participation lifecycle
• Coordinate onboarding experiences for new AI Accelerators, including communications, learning pathways, and access to tools and resources
• Plan and manage ongoing program activities such as learning cohorts, community touchpoints, and continuous enablement sessions
• Maintain and update the AI Training Hub, ensuring content relevance, accessibility, and alignment with current AI tools and priorities
• Coordinate and support live AI learning and enablement events, including workshops, demos, office hours, and speaker sessions (virtual and/or in‑person)
• Partner with learning, AI platform, change management, and communications teams to ensure consistent messaging and execution
• Track participation, engagement signals, and operational readiness to support program effectiveness and continuous improvement
• Manage vendor or internal contributors supporting content, events, or tooling as needed
• Ensure operational excellence through documentation, scheduling, process consistency, and stakeholder updates

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