Experience Design Strategist

📍 Job Overview

Job Title: Experience Design Strategist (AI-Enabled Change)

Company: Cisco

Location: Krakow, Lesser Poland Voivodeship, Poland

Job Type: Full time

Category: Change Management / Learning & Development Operations

Date Posted: 2026-06-26

Experience Level: Mid-Senior Level (4-7 years)

Remote Status: On-site

🚀 Role Summary

• Strategize and design AI-enabled learning experiences and change initiatives to enhance employee adoption of new ways of working.

• Integrate AI-driven adaptive learning paths and performance support directly into the employee's workflow, personalizing the learning journey.

• Analyze complex workflows to identify opportunities for AI augmentation and design interventions that empower employees to interact effectively with AI tools.

• Develop multi-level evaluation frameworks using AI-powered analytics to measure the impact of interventions on behavior change and organizational productivity.

• Collaborate closely with subject matter experts, managers, and leadership to ensure grounded, effective, and strategically aligned AI-enabled change enablement.

📝 Enhancement Note: This role is positioned at the intersection of Change Management, Learning & Development, and cutting-edge AI integration. The focus is on strategic design and impact measurement, not content creation. The "Operations" aspect comes from the systematic and scalable design of processes and systems for organizational change enablement, particularly leveraging AI.

📈 Primary Responsibilities

• Design comprehensive experience frameworks and adaptive learning journeys sequenced to the phases and emotional arcs of organizational change initiatives, leveraging AI to personalize content delivery.

• Develop audience-segmented enablement strategies that address varying roles, prior knowledge, and readiness levels, utilizing AI tools for just-in-time content and support.

• Translate change management objectives into AI-augmented learning interventions, including simulations and interactive AI coaching modules, to bridge knowledge and skill gaps.

• Prioritize embedding performance support and AI-driven guidance directly within the daily tools and platforms employees use, minimizing disruption and maximizing immediate utility.

• Design and facilitate social ecosystems, such as communities of practice and peer-to-peer coaching, to reinforce desired mindsets and behaviors through shared experiences and AI-supported collaboration.

• Apply principles of behavioral science and AI literacy to design interventions that encourage effective human-AI collaboration, ensuring AI tools are perceived as performance enhancers.

• Work with managers to design their role in reinforcing AI-human collaboration and modeling desired behaviors for AI utilization in daily decision-making and problem-solving.

• Build multi-level evaluation frameworks to measure the impact of AI-augmented learning interventions on behavior change, adoption rates, and overall organizational productivity.

• Utilize AI-powered analytics to identify leading indicators of adoption, engagement with AI tools, confidence shifts, and real-time performance improvements.

• Establish feedback loops that enable continuous adjustment and optimization of AI-enabled learning designs based on real-time data and user feedback during rollout.

• Partner with subject matter experts (SMEs) to identify specific adoption barriers where AI augmentation can provide effective solutions.

• Facilitate co-design sessions with stakeholders to ensure AI-augmented workflows are practical, user-centric, and address actual needs and constraints.

• Communicate the strategic value and ROI of AI-enabled learning and change enablement to senior leadership, articulating its role in accelerating adoption and business impact.

📝 Enhancement Note: The responsibilities emphasize a strategic, design-thinking approach to change enablement, with a strong emphasis on integrating AI. The "operations" component lies in creating scalable, measurable, and data-informed processes for organizational transformation.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in a related field such as Organizational Psychology, Human-Computer Interaction, Education Technology, Business Administration, or a relevant technical discipline would be highly beneficial.

Experience:

• 4–7 years of progressive experience in learning design, instructional strategy, change enablement, or performance consulting, with a significant focus on digital transformation initiatives.

• Proven track record of designing and implementing interventions that successfully incorporate AI-enabled tools, chatbots, or adaptive learning platforms.

• Demonstrated experience in analyzing complex business workflows to identify and implement AI augmentation opportunities that enhance efficiency and user experience. Required Skills:

• Learning Architecture & Experience Design: Ability to architect comprehensive learning ecosystems and design engaging, sequenced experience journeys that integrate AI seamlessly.

• AI-Enabled Learning Design: Expertise in leveraging AI tools, adaptive learning platforms, and AI coaching modules to personalize and optimize learning paths.

• Change Management & Enablement: Strong understanding of change management principles and the ability to design enablement strategies that foster adoption and behavior change.

• Performance Consulting: Proven ability to analyze performance gaps and design solutions that integrate directly into the flow of work, rather than acting as separate training events.

• Workflow Analysis & AI Augmentation: Skill in dissecting complex workflows to identify opportunities for AI to reduce friction and enhance user capabilities.

• AI Literacy: Deep understanding of AI capabilities, limitations, and how to effectively prompt, interact with, and collaborate alongside AI tools, with the ability to educate others.

• Data Analysis & Measurement: Proficiency in both qualitative insights and quantitative data analysis, particularly in correlating AI adoption metrics with business outcomes and productivity gains.

• Stakeholder Engagement & Communication: Excellent ability to collaborate with SMEs, managers, and senior leadership, translating complex technical concepts into clear, strategic value propositions for non-technical audiences.

• Social Learning Design: Experience in designing and facilitating social-based environments (communities of practice, peer coaching) to reinforce mindsets and behaviors.

Preferred Skills:

• Experience with AI-driven performance consulting methodologies.

• Familiarity with the ethical considerations and change management challenges associated with AI implementation in the workplace.

• Experience designing and delivering manager enablement programs focused on leading teams through AI-driven process transformations.

• Proven ability to collaborate with or configure AI agents for lower-complexity learning design tasks, enabling self-service and scaling of learning support.

• Experience with AI ethical frameworks and responsible AI deployment in organizational contexts.

📝 Enhancement Note: The "Experience Design" aspect is critical, signifying a user-centric approach to how employees learn and adapt to AI. The required experience level suggests a need for individuals who can operate independently and strategically. The preferred skills highlight Cisco's interest in candidates who are forward-thinking and understand the nuances of AI adoption.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Enabled Learning Design Case Studies: Showcase projects where AI tools, adaptive learning, or AI coaching were integral to the learning strategy, detailing the problem, your design approach, the AI utilized, and measurable outcomes.

• Change Enablement Frameworks: Present frameworks or methodologies developed to guide employees through significant organizational changes, highlighting how AI was integrated to support adoption and behavior change.

• Workflow Analysis & AI Augmentation Examples: Provide examples of workflow analyses conducted, demonstrating how AI augmentation opportunities were identified and how proposed solutions were designed to integrate into the flow of work.

• Performance Measurement & Analytics: Include examples of evaluation frameworks or dashboards used to measure the impact of learning interventions, specifically demonstrating how AI-driven data was leveraged for insights and iterative improvements.

Process Documentation:

• AI Integration Process: Documented processes for identifying, designing, and implementing AI-augmented learning interventions within broader change initiatives.

• Adaptive Learning Path Design: Methodologies for creating dynamic, personalized learning paths that adjust based on user performance, AI-driven insights, and readiness levels.

• Human-AI Collaboration Design: Protocols and best practices for designing user experiences that foster effective collaboration between employees and AI tools.

• Iterative Design & Feedback Loops: Processes for establishing and utilizing feedback loops to continuously refine and optimize AI-enabled learning solutions based on real-time data and user input.

📝 Enhancement Note: A portfolio is crucial for this role to demonstrate practical application of AI in learning and change design. The emphasis should be on strategic thinking, design process, and quantifiable impact, showcasing how candidates have operationalized AI for employee enablement.

💵 Compensation & Benefits

Salary Range: For a role of this nature and experience level (4-7 years) in Krakow, Poland, the estimated annual gross salary range would typically fall between €45,000 - €65,000. This estimate is based on industry benchmarks for skilled professionals in Learning & Development, Change Management, and AI-related roles in major European tech hubs, considering Poland's cost of living and Cisco's market position.

Benefits:

• Comprehensive Health Insurance: Including medical, dental, and vision coverage.

• Retirement Savings Plan: Cisco's 401(k) equivalent or similar pension scheme with potential company matching.

• Professional Development: Opportunities for continuous learning, certifications, access to AI and change management training, and conference attendance.

• Paid Time Off: Generous vacation days, sick leave, and public holidays.

• Employee Stock Purchase Program (ESPP): Opportunity to purchase Cisco stock at a discounted rate.

• Wellness Programs: Initiatives focused on employee well-being, mental health support, and work-life balance.

• Flexible Work Arrangements: While this role is on-site, Cisco often offers flexibility within the office setting and potential for hybrid models in other roles.

Working Hours: The standard working hours are typically 40 hours per week, aligned with European business hours (e.g., 9:00 AM to 5:00 PM CET). There may be flexibility to adjust start and end times, subject to team and project needs, especially when collaborating with global teams.

📝 Enhancement Note: The salary estimate is a benchmark for Krakow, Poland. Cisco is a major technology employer and may offer competitive compensation packages that could exceed these estimates based on specific candidate qualifications and internal compensation structures. The benefits listed are standard for large multinational tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Networking Hardware, Software, and Telecommunications Equipment. Cisco is a global leader in IT and networking, enabling companies worldwide to connect, secure, and transform their digital operations. The company is heavily invested in the AI era, aiming to lead in AI-driven solutions for enterprise.

Company Size: Cisco is a large enterprise, typically employing over 80,000 employees globally. This size indicates a complex organizational structure, robust resources, and significant opportunities for cross-functional collaboration and career advancement.

Founded: 1984. With nearly 40 years of innovation, Cisco has a long-standing reputation for pioneering technology and adapting to market shifts. This history suggests a culture that values experience, continuous evolution, and a forward-thinking approach to emerging technologies like AI.

Team Structure:

• People & Communities (P&C): This role is embedded within the P&C (Human Resources) function, specifically focusing on change initiatives.

• Cross-functional Collaboration: The strategist will work closely with HR business partners, change leads, IT departments, L&D specialists, subject matter experts, and potentially product teams involved in AI tool development.

• Reporting: Likely reports to a senior manager within the P&C Change or Learning & Development organization, with a dotted line or strong collaborative relationship with project stakeholders for specific change initiatives.

Methodology:

• Data-Driven Decision Making: Cisco emphasizes the use of data analytics to inform strategy and measure impact, particularly through AI-powered insights in this role.

• Agile & Iterative Design: The design process for AI-enabled learning and change is expected to be iterative, incorporating feedback and real-time data to adapt solutions.

• Human-Centric Approach: Despite the focus on AI, the core of the role is understanding and designing for human needs, behavior change, and effective human-AI collaboration.

Company Website: https://careers.cisco.com/global/en

📝 Enhancement Note: Cisco's established presence and commitment to innovation, especially in AI, provide a strong context for this role. The P&C function's focus on change enablement signifies a strategic HR approach, where talent and organizational effectiveness are key drivers of business success.

📈 Career & Growth Analysis

Operations Career Level: This position is considered a Mid-to-Senior level role, requiring 4-7 years of specialized experience. It operates beyond basic instructional design or training coordination, focusing on the strategic architecture of AI-enabled change processes. It demands a consultative approach and the ability to influence stakeholders at various levels.

Reporting Structure: The role reports within the People & Communities (P&C) function, likely to a leader overseeing change management, organizational development, or learning strategy. Collaboration will be extensive across various business units and project teams implementing AI-driven changes.

Operations Impact: The primary impact of this role is on the successful adoption of new technologies and ways of working, particularly those involving AI. By strategically designing how employees learn and adapt, the Experience Design Strategist directly influences:

• Speed of Adoption: Accelerating employee readiness for AI tools and processes.

• Employee Productivity: Ensuring AI augmentation enhances, rather than hinders, performance.

• Behavioral Change: Driving the desired shifts in mindset and daily work habits.

• Organizational Agility: Enabling Cisco to adapt more quickly to technological advancements.

• ROI of AI Investments: Maximizing the return on investment by ensuring effective human-AI collaboration.

Growth Opportunities:

• Specialization in AI & Future of Work: Deepen expertise in AI-driven learning, human-AI teaming, and the evolving landscape of organizational change.

• Leadership in Change Management: Progress into roles leading larger change initiatives, managing teams, or developing organizational change strategies.

• Strategic L&D Leadership: Advance to positions responsible for the overall learning and development strategy for specific business units or the entire organization.

• Cross-functional Mobility: Opportunities to move into roles within IT strategy, digital transformation offices, or broader HR leadership roles.

• Executive Communication & Influence: Develop stronger skills in presenting to and influencing senior leadership on strategic initiatives.

📝 Enhancement Note: This role offers a clear pathway for growth within the specialized field of AI-enabled change and learning, aligning with Cisco's strategic focus on AI. The emphasis on impact measurement and strategic design positions candidates for leadership roles.

🌐 Work Environment

Office Type: Cisco operates with a modern, often campus-like office environment for its on-site roles. The Krakow office is likely designed to foster collaboration, innovation, and employee well-being.

Office Location(s): Krakow, Poland. The specific office address will provide details on accessibility, amenities, and local transport links.

Workspace Context:

• Collaborative Spaces: The office will feature a mix of open workspaces, meeting rooms, quiet zones, and collaboration hubs designed to support diverse work styles and team interactions.

• Technology-Enabled: Expect access to cutting-edge technology, including robust IT infrastructure, collaboration tools, and potentially AI-powered workplace solutions that align with the role's focus.

• Team Interaction: Opportunities for direct, in-person interaction with colleagues within the P&C team, project teams, and other Cisco employees, fostering a strong sense of community and shared purpose.

Work Schedule: The role is on-site, implying a structured work week within the Krakow office. While core hours will apply, Cisco typically offers a degree of flexibility to manage personal appointments or adjust schedules, provided work responsibilities and team collaboration needs are met. This flexibility is crucial for balancing the demands of strategic design with personal life.

📝 Enhancement Note: The on-site requirement suggests Cisco values in-person collaboration and team synergy, particularly for strategic roles that involve significant stakeholder engagement and co-design. The Krakow office will likely be well-equipped to support this collaborative environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, cultural fit, and understanding of the role's strategic nature.

• Hiring Manager Interview: In-depth discussion with the hiring manager focusing on experience, strategic thinking, AI expertise, and alignment with P&C goals. Expect questions around past projects and problem-solving approaches.

• Design Challenge/Portfolio Presentation: A key stage where candidates present their portfolio, showcasing case studies of AI-enabled learning and change initiatives. This may involve a live presentation and Q&A, focusing on design rationale, process, and measurable impact.

• Cross-functional Panel Interview: Interviews with key stakeholders from IT, business units, or other P&C functions to assess collaboration skills, ability to influence, and understanding of diverse business needs.

• Final Interview: Potentially with a senior leader to discuss strategic alignment, leadership potential, and cultural fit within Cisco.

Portfolio Review Tips:

• Focus on AI Integration: Clearly articulate how AI was leveraged in your designs, the specific benefits it brought, and the challenges overcome.

• Demonstrate Strategic Impact: Go beyond describing tasks; explain the "why" behind your designs and how they contributed to broader organizational goals (e.g., faster adoption, increased productivity, reduced friction).

• Showcase Process & Methodology: Detail your approach to workflow analysis, user research, iterative design, and measurement. Use diagrams or visual aids where appropriate.

• Quantify Results: Whenever possible, use data and metrics to demonstrate the success of your interventions. Highlight how AI-driven analytics informed your evaluation.

• Storytelling: Frame your projects as compelling narratives, highlighting challenges, your unique solutions, and the positive outcomes achieved.

Challenge Preparation:

• AI Literacy & Application: Be prepared to discuss current AI trends relevant to the workplace and how they can be practically applied to learning and change enablement.

• Change Management Scenarios: Practice articulating strategies for managing resistance, engaging diverse stakeholders, and driving adoption for AI-related changes.

• Process Design Thinking: Be ready to walk through your process for designing a hypothetical AI-enabled learning intervention for a given business challenge.

• Stakeholder Communication: Prepare examples of how you would communicate complex AI concepts and change strategies to non-technical audiences, including senior leadership.

📝 Enhancement Note: The emphasis on a portfolio review and potential design challenge indicates Cisco's priority on practical skills and strategic thinking. Candidates should prepare to articulate their design process and demonstrate tangible results, especially concerning AI integration.

🛠 Tools & Technology Stack

Primary Tools:

• AI-Powered Learning Platforms: Experience with platforms that offer adaptive learning, AI coaching, or personalized content delivery (e.g., Coursera for Business, Degreed, specialized AI learning tools).

• Learning Management Systems (LMS) / Learning Experience Platforms (LXP): Proficiency in utilizing and integrating with LMS/LXPs for content deployment and tracking.

• Collaboration Suites: Advanced use of tools like Microsoft Teams, Slack, or Cisco's own collaboration platforms for communication, co-creation, and knowledge sharing.

• Design & Prototyping Tools: Familiarity with tools for outlining workflows and user journeys (e.g., Miro, Lucidchart, Figma, Visio).

Analytics & Reporting:

• AI-Driven Analytics Tools: Experience with or understanding of how AI-powered analytics platforms can track user engagement, learning effectiveness, and behavioral shifts.

• Data Visualization Tools: Ability to interpret and present data using tools like Tableau, Power BI, or built-in analytics dashboards within learning platforms.

• Performance Metrics Tracking: Familiarity with defining and tracking KPIs related to learning adoption, skill development, and impact on business outcomes.

CRM & Automation:

• CRM Systems (e.g., Salesforce): Understanding how learning and change initiatives can integrate with customer or employee relationship management systems to provide context or track user journeys.

• Workflow Automation Tools: Awareness of tools that can automate aspects of learning delivery or feedback collection (e.g., Zapier, Power Automate), though the role focuses on design rather than implementation.

• Content Management Systems (CMS): Familiarity with how learning content is managed and delivered, potentially through various CMS platforms.

📝 Enhancement Note: While the role is strategic, familiarity with the types of tools used to deliver AI-enabled learning and track their impact is essential. The emphasis will be on understanding how these technologies function and how they can be architected into effective learning solutions.

👥 Team Culture & Values

Operations Values:

• Innovation & Future-Forward Thinking: A drive to explore and leverage emerging technologies like AI to solve business challenges and improve employee experiences.

• Data-Driven Excellence: A commitment to using data and analytics to inform strategies, measure impact, and continuously optimize processes.

• Human-Centric Design: A belief that technology should serve people, with a focus on creating user-friendly, empowering, and effective experiences.

• Collaboration & Partnership: A value placed on working effectively across teams and with stakeholders to achieve shared goals.

• Continuous Learning & Adaptability: An understanding that the landscape is constantly evolving, requiring a proactive approach to learning and adapting to new trends and technologies.

Collaboration Style:

• Cross-Functional Integration: Actively seeks to collaborate with diverse teams (HR, IT, Business Units) to ensure that AI-enabled learning solutions are aligned with business needs and technical feasibility.

• Co-Creation & Feedback: Engages stakeholders in co-design processes and actively solicits feedback to refine strategies and ensure buy-in.

• Knowledge Sharing: Promotes a culture of sharing insights, best practices, and lessons learned, particularly regarding AI implementation and change enablement.

• Empowerment & Enablement: Aims to empower employees and managers with the knowledge and tools they need to succeed, particularly in navigating AI-driven changes.

📝 Enhancement Note: Cisco's culture likely emphasizes a blend of technological innovation and a people-centric approach. For this role, it means balancing cutting-edge AI with the fundamental principles of effective change management and human learning.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Evolution: Keeping abreast of rapid advancements in AI technology and determining how to best integrate them into learning and change strategies.

• Ethical AI Implementation: Navigating the ethical considerations of AI in the workplace, ensuring fairness, transparency, and responsible use.

• Behavioral Inertia: Overcoming employee resistance to change and new technologies, particularly AI, which can be perceived as complex or threatening.

• Measuring AI Impact: Developing robust methodologies to accurately measure the tangible impact of AI-enabled learning on productivity, efficiency, and business outcomes.

• Scalability of AI Solutions: Designing AI-driven learning solutions that can be effectively scaled across a large, global organization like Cisco.

Learning & Development Opportunities:

• Deep Dive into AI Technologies: Access to internal and external training, workshops, and resources focused on the latest AI advancements and their application in the enterprise.

• Advanced Change Management Certifications: Opportunities to pursue advanced certifications in change management or organizational development.

• Human-AI Teaming Research: Engaging with research and best practices in the emerging field of human-AI collaboration and performance.

• Leadership Development Programs: Participation in Cisco's leadership development programs to hone strategic influence, stakeholder management, and team leadership skills.

• Industry Conferences & Networks: Opportunities to attend relevant industry conferences (e.g., ATD, SHRM, AI in HR forums) and build professional networks.

📝 Enhancement Note: This role is at the forefront of AI adoption in the workplace. The challenges are significant but also present immense opportunities for professional growth and impact within a leading technology company.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-enabled learning intervention. What was the objective, what AI tools did you use, and what was the measurable impact on employee behavior or performance?"

• "How would you approach analyzing a complex business workflow to identify opportunities for AI augmentation that supports employee adoption of a new process?"

• "Imagine we are launching a new AI tool for customer service representatives. How would you design an enablement strategy that ensures they are confident and proficient in using it within their daily workflow?"

• "How do you balance the technical capabilities of AI with the human element of learning and change management to ensure successful adoption?" Company & Culture Questions:

• "Based on your understanding of Cisco and the AI era, how do you see this role contributing to the company's overall strategy?"

• "How would you foster a culture of AI literacy and collaboration within a team that may have varying levels of technical expertise?"

• "Describe your experience working with senior leadership. How do you communicate the value of strategic learning and change initiatives to executive stakeholders?" Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your strategic approach (especially AI integration), the solutions designed, the implementation process, and the quantifiable results.

• Highlight Your Design Process: Explain your methodology for analyzing needs, designing interventions, and iterating based on feedback and data.

• Focus on "AI-Enabled" Aspects: Explicitly call out how AI was used, why it was chosen, and the specific benefits it delivered compared to traditional methods.

• Demonstrate Impact: Use data, metrics, and testimonials to showcase the ROI of your work. Show how your designs led to tangible improvements in adoption, performance, or efficiency.

• Prepare for Q&A: Anticipate questions about challenges, alternative solutions, and scalability. Be ready to defend your design choices and articulate your thought process.

📝 Enhancement Note: Candidates should prepare to articulate their strategic thinking, practical application of AI in learning design, and ability to measure impact. The portfolio presentation is a critical component, so practicing clear, concise, and data-driven storytelling is essential.

📌 Application Steps

To apply for this Experience Design Strategist position:

• Submit your application through the Cisco Careers portal using the provided link.

• Tailor Your Resume: Highlight specific experiences related to AI-enabled learning, change management, workflow analysis, and performance consulting. Use keywords from the job description naturally.

• Curate Your Portfolio: Select 2-3 strong case studies that best demonstrate your experience with AI integration, strategic design, and measurable impact. Ensure they are well-documented and ready for presentation.

• Prepare Your Narrative: Practice articulating your experience and portfolio highlights, focusing on your strategic approach and the tangible outcomes of your work, especially concerning AI.

• Research Cisco & AI Initiatives: Understand Cisco's current positioning in the AI space, their commitment to digital transformation, and their company values to demonstrate alignment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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