TD&C CoE - AI Upskilling Design Consultant - 12 months FTC

📍 Job Overview

Job Title: TD&C CoE - AI Upskilling Design Consultant - 12 months FTC

Company: PwC UK

Location: Manchester, United Kingdom

Job Type: Full-time, Temporary (12 months FTC)

Category: Learning & Development Operations / Digital Learning Design

Date Posted: April 24, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Design and deliver cutting-edge learning experiences by integrating Generative AI and digital innovation within the Firmwide Learning & Development function.

• Drive AI upskilling initiatives to empower PwC colleagues with the confidence and capabilities to effectively utilize AI in their professional activities.

• Collaborate closely with a diverse range of stakeholders, including learning designers, technologists, and subject matter experts, to explore and implement AI-driven learning solutions.

• Contribute to the continuous improvement of learning content and delivery methods by experimenting with emerging AI technologies and best practices in digital learning design.

📝 Enhancement Note: This role is positioned within PwC's "Technology, Data & Cyber (TD&C) Centre of Excellence (CoE)" and specifically focuses on AI Upskilling. This implies a strategic emphasis on embedding AI literacy and application across the firm's workforce, requiring a blend of instructional design expertise and a forward-thinking approach to technology adoption in learning. The "12 months FTC" indicates a project-based need, likely to address a specific, time-bound strategic objective related to AI enablement.

📈 Primary Responsibilities

• Design and develop engaging, technology-enabled learning solutions leveraging AI and digital approaches to address specific business needs and learning objectives.

• Collaborate with cross-functional teams, including L&D specialists, innovation hubs, and business units, to identify key opportunities where AI can significantly enhance learning design, delivery, and impact.

• Coordinate the deployment and adoption of digital technologies for both live and virtual learning environments, ensuring seamless user experiences.

• Actively contribute to initiatives aimed at building colleague confidence and competence in the responsible and effective use of AI tools in their daily work.

• Drive a culture of continuous improvement by proactively experimenting with new AI methodologies, documenting and sharing effective practices, and rigorously reviewing learning content for quality, accuracy, and adherence to PwC standards.

📝 Enhancement Note: The responsibilities highlight a proactive and experimental approach to learning design. The emphasis on "coordinating digital technologies for live and virtual learning" suggests a need for project management skills in deploying learning solutions. The focus on "building confidence in using AI responsibly" points to a requirement for understanding ethical AI considerations and translating them into practical learning guidance.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in a relevant field such as Education, Instructional Design, Human Resources, Computer Science, Digital Media, or a related discipline is typically expected for roles of this nature. A Master's degree or relevant certifications in AI, learning technologies, or instructional design would be advantageous.

Experience: 2-5 years of experience in digital learning design, instructional design, or a related learning and development role, with a demonstrated track record of creating engaging and impactful learning experiences. Experience with AI technologies, particularly generative AI, is highly desirable.

Required Skills:

• Digital Learning Design: Proven ability to design, develop, and deliver effective digital learning solutions using modern instructional design principles and technologies.

• Generative AI Understanding: Familiarity with generative AI concepts and tools, and a strong desire to explore their application in learning contexts.

• Learning Development Expertise: Solid understanding of adult learning principles, learning theories, and best practices in curriculum development and content creation.

• Stakeholder Collaboration: Excellent interpersonal and communication skills to effectively partner with diverse teams, gather requirements, and build consensus.

• Technology-Enabled Learning: Experience with learning management systems (LMS), virtual classroom platforms, and other digital learning technologies.

• AI Upskilling Focus: Passion for and ability to design learning experiences that build confidence and capability in AI usage.

• Content Creation: Skill in developing various forms of learning content, including e-learning modules, facilitator guides, participant materials, and digital assets.

• Continuous Improvement Mindset: A proactive approach to experimentation, feedback incorporation, and process optimization in learning design.

• Adaptability: Ability to thrive in a dynamic environment, adapting to new technologies and learning contexts.

Preferred Skills:

• Instructional Design Methodologies: Proficiency in ADDIE, SAM, or other recognized instructional design models.

• AI Tools & Platforms: Hands-on experience with specific generative AI tools (e.g., ChatGPT, Midjourney, DALL-E) for content creation or learning enhancement.

• Learning Analytics: Basic understanding of how to measure the effectiveness of learning programs using data.

• Project Coordination: Experience managing smaller learning projects or components of larger initiatives.

• Digital Innovation: Exposure to broader digital transformation initiatives and their impact on learning.

📝 Enhancement Note: The "This role is for you if" section strongly implies a candidate who is a self-starter, curious, and passionate about both learning and AI. The emphasis on "communicating clearly" and "valuing collaboration" suggests that soft skills are as critical as technical skills for success in this hybrid role. The experience level of 2-5 years aligns with a consultant role that requires independent contribution but also significant collaboration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Digital Learning Design Case Studies: Showcase a minimum of 2-3 diverse digital learning projects, highlighting the problem statement, your design process, the technologies used, and measurable outcomes.

• AI Integration Examples: If possible, include examples or mock-ups of how AI was considered or used in a learning context, even if conceptual. This could be AI-generated content outlines, AI-assisted assessment ideas, or AI-driven personalization concepts.

• Content Samples: Include examples of e-learning modules, interactive elements, or job aids that demonstrate your ability to create engaging and effective learning materials.

• Process Documentation: Demonstrate your understanding of learning design methodologies by including a high-level overview of your design process for one of your case studies.

Process Documentation:

• Workflow Design: Illustrate your approach to mapping out the learning design process from needs analysis to final delivery, emphasizing iterative development and feedback loops.

• Technology Integration Strategy: Provide insight into how you select and integrate learning technologies to enhance the learner experience and meet specific objectives.

• Quality Assurance: Detail your methods for ensuring the quality, accuracy, and effectiveness of learning content before and after deployment.

• Impact Measurement: Outline how you would approach measuring the success and ROI of learning initiatives, particularly those involving new technologies like AI.

📝 Enhancement Note: Given the focus on AI and digital innovation, a portfolio that demonstrates a forward-thinking approach to learning design is crucial. Candidates should be prepared to discuss how they would leverage AI ethically and effectively to improve learning outcomes, even if their direct experience with AI in learning is nascent. The ability to articulate a structured design process and showcase tangible results will be key.

💵 Compensation & Benefits

Salary Range: For a 12-month FTC role at this level (Mid-Level, 2-5 years experience) in Manchester, UK, the estimated salary range would typically be between £40,000 and £55,000 per annum, depending on the candidate's specific experience, skills, and the exact scope of responsibilities.

Benefits:

• Empowered Flexibility: A flexible working model that blends office, home, and client site work, promoting work-life balance.

• Private Medical Cover: Comprehensive private medical insurance for employees.

• Virtual GP Service: 24/7 access to qualified virtual General Practitioners for convenient healthcare consultations.

• Volunteering Days: Six dedicated days per year for employees to engage in voluntary activities, supporting community initiatives.

• Professional Development: Opportunities for learning and growth, as implied by the role's focus on upskilling and innovation.

• Pension Scheme: Standard pension contributions are expected from a firm like PwC.

Working Hours: The standard working hours are approximately 40 hours per week. The hybrid model allows for flexibility in scheduling, but core working hours and availability for team collaboration and meetings will be expected.

📝 Enhancement Note: The salary estimate is based on PwC's typical compensation bands for similar contract roles in major UK cities, considering the required experience level and the specialized nature of AI and digital learning design. The specific salary will be subject to negotiation and the candidate's qualifications. The benefits package is drawn directly from the job description and reflects PwC's comprehensive approach to employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Professional Services / Consulting. PwC operates globally, offering a wide range of assurance, tax, and advisory services. The firm is known for its commitment to technology, data, and innovation, actively investing in areas like AI to enhance its service delivery and internal operations.

Company Size: PwC UK is a large, established professional services firm, part of the global PwC network. This means significant resources, established processes, and a structured career framework, but also a need for individuals who can navigate a large organization effectively.

Founded: PwC was formed in 1998 through the merger of Coopers & Lybrand and Price Waterhouse. Its history extends much further back through its predecessor firms. This long history signifies stability, a deep understanding of business challenges, and a robust corporate structure.

Team Structure:

• Digital Design Team: This role sits within the Digital Design team, which is part of Firmwide Learning & Development (L&D). This suggests a specialized group focused on creating modern, digital learning experiences.

• TD&C CoE: The role is further aligned with the Technology, Data & Cyber (TD&C) Centre of Excellence (CoE), indicating a strong focus on leveraging technology, data analytics, and AI for business transformation and capability building.

• Cross-Functional Collaboration: The role explicitly requires collaboration with designers, technologists, subject matter experts, and business colleagues, highlighting a matrixed and collaborative working environment.

Methodology:

• AI-Driven Learning Design: The core methodology involves exploring and applying AI (especially generative AI) to create more creative, efficient, and impactful learning experiences.

• Digital Innovation: A commitment to exploring and integrating new digital tools and approaches in learning.

• Continuous Improvement: A cyclical process of experimentation, feedback, and refinement to optimize learning solutions.

• User-Centric Design: Implicit in designing "engaging, practical learning experiences" that "meet business needs."

Company Website: https://www.pwc.co.uk/

📝 Enhancement Note: PwC's culture emphasizes professional excellence, innovation, and a strong commitment to developing its people. For an AI Upskilling role, candidates can expect a dynamic environment where they are encouraged to experiment with new technologies and contribute to the firm's digital transformation agenda. The "CoE" designation suggests a hub of expertise and best practices.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an AI Upskilling Design Consultant, aligning with a mid-level specialist or consultant track within L&D operations. It requires specialized skills in digital learning design and a foundational understanding of AI, with the expectation of contributing independently to design projects and collaborating effectively with senior stakeholders.

Reporting Structure: The role reports into the Digital Design team within Firmwide Learning & Development. This team likely has a manager or lead who oversees learning design initiatives. Collaboration will extend to various business units and subject matter experts across PwC UK.

Operations Impact: The role's impact is measured by its contribution to enhancing the digital learning capabilities of PwC colleagues, particularly in the critical area of AI adoption. Success means more capable, confident, and AI-literate employees, which directly supports PwC's strategic goals in technology and digital transformation, ultimately contributing to improved client service delivery and internal efficiency.

Growth Opportunities:

• AI Specialization: Deepen expertise in applying AI to learning and development, potentially leading to more senior AI in L&D roles or specialized consulting positions.

• Instructional Design Advancement: Progress to Senior Instructional Designer or Lead Learning Designer roles, managing larger projects and teams.

• Digital Innovation Leadership: Contribute to broader digital transformation initiatives within L&D or across the firm.

• Cross-Functional Exposure: Gain broad exposure to different business units and their learning challenges, enhancing versatility and strategic understanding.

• Networking: Build a robust professional network within PwC, both within L&D and across technology and business functions.

📝 Enhancement Note: As a 12-month FTC, the "growth" is primarily focused on skill acquisition and project experience rather than a traditional linear career progression within PwC. However, the experience gained in this role could be highly valuable for future permanent positions, either within PwC or at other organizations specializing in AI and digital learning.

🌐 Work Environment

Office Type: Hybrid. This role involves a blend of working from home, in a PwC office (likely Manchester), and potentially at client sites. PwC offices are typically modern, professional, and equipped with collaborative spaces, meeting rooms, and essential technology infrastructure.

Office Location(s): The primary office location is Manchester, United Kingdom. PwC has significant operations in Manchester, offering a well-established professional environment.

Workspace Context:

• Collaborative Spaces: PwC offices are designed with breakout areas, project rooms, and open-plan seating to foster collaboration and idea sharing among colleagues.

• Technology-Rich Environment: Access to robust IT systems, high-speed internet, and modern collaboration tools is standard.

• Team Interaction: While hybrid, there will be opportunities for in-person team meetings, workshops, and informal interactions with colleagues from the Digital Design team and other departments.

• Flexible Workspaces: The hybrid model allows for personal choice in where work is best accomplished, balancing focused individual work with collaborative sessions.

Work Schedule: The role is full-time, with flexibility inherent in the hybrid model. While 40 hours per week is standard, the ability to manage one's schedule to balance project deadlines, team meetings, and personal commitments is a key feature. Punctuality and availability for scheduled meetings and collaborative sessions are essential.

📝 Enhancement Note: The hybrid nature of the role requires strong self-management and communication skills. Candidates should be comfortable working independently and proactively engaging with colleagues remotely and in person. The Manchester office provides a central hub for collaboration and connection within the PwC UK network.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application and CV, likely conducted by an L&D recruitment specialist or hiring manager. Focus on clearly articulating your digital learning design experience and any exposure to AI.

• Competency-Based Interview: A discussion focused on behavioral questions to assess your skills in areas such as collaboration, problem-solving, adaptability, and your approach to learning design. Be ready to provide specific examples from your experience.

• Portfolio Presentation/Case Study: You may be asked to present a selection of your work from your portfolio, explaining your design process, the impact of your solutions, and how you would approach a hypothetical AI upskilling challenge.

• Technical/Skills Assessment: Possibly a short exercise or discussion focused on your understanding of AI in learning or a specific digital learning tool.

• Final Interview: Potentially with senior members of the L&D or TD&C CoE team to assess cultural fit and strategic alignment.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest digital learning design projects. Prioritize those that demonstrate innovation, measurable impact, and a clear design process.

• Highlight AI Relevance: Even if indirect, frame your projects to show how you've embraced new technologies or could adapt to AI. Discuss your curiosity and willingness to experiment.

• Quantify Impact: Whenever possible, use data (e.g., completion rates, learner satisfaction scores, knowledge retention, performance improvements) to demonstrate the effectiveness of your designs.

• Narrate Your Process: For each project, clearly articulate the problem, your approach, the tools/technologies used, your role, and the outcomes achieved.

• Prepare for AI Questions: Be ready to discuss your understanding of generative AI, its potential benefits and challenges in learning, and how you envision its application at PwC.

Challenge Preparation:

• AI Use Cases: Research current and emerging uses of AI in corporate learning and development. Think about how AI can personalize learning, automate content creation, provide intelligent feedback, or enhance engagement.

• PwC Context: Understand PwC's business, its strategic priorities (especially around technology and digital transformation), and how AI upskilling fits into that vision.

• Design Thinking: Be prepared to apply design thinking principles to a hypothetical AI upskilling challenge, outlining steps from empathy and ideation to prototyping and testing.

• Ethical AI: Consider the ethical implications of AI in learning (e.g., data privacy, bias, academic integrity) and how you would address them in your designs.

📝 Enhancement Note: The interview process is likely to be rigorous, assessing both technical design skills and strategic thinking regarding AI. A well-prepared portfolio that showcases creativity, a structured approach, and an understanding of the evolving landscape of learning technologies will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• Learning Management Systems (LMS): Experience with enterprise-level LMS platforms (e.g., Workday Learning, Cornerstone OnDemand, SAP SuccessFactors) for content deployment and tracking.

• Authoring Tools: Proficiency in industry-standard e-learning authoring tools such as Articulate Storyline, Adobe Captivate, or similar.

• Digital Design Software: Familiarity with graphic design tools (e.g., Adobe Creative Suite - Photoshop, Illustrator) for creating visual assets.

• Video Editing Software: Basic proficiency in video editing tools (e.g., Camtasia, Adobe Premiere Pro) for incorporating multimedia into learning.

Analytics & Reporting:

• LMS Analytics: Ability to extract and interpret data from LMS platforms to assess learner progress and course effectiveness.

• Survey Tools: Experience with tools like SurveyMonkey, Qualtrics, or Microsoft Forms for gathering learner feedback.

• Data Visualization Tools (Basic): Familiarity with tools like Microsoft Excel or PowerPoint for presenting data and insights.

CRM & Automation:

• Collaboration Platforms: Extensive use of tools like Microsoft Teams, Slack, or Zoom for communication, collaboration, and virtual meetings.

• Project Management Tools: Experience with tools like Asana, Trello, or Jira for managing design projects and tasks.

• AI Tools: Familiarity with generative AI platforms (e.g., ChatGPT, Bard, Midjourney) for content ideation, drafting, and asset creation.

📝 Enhancement Note: While specific AI tools are not listed, candidates should be prepared to discuss their experience and exploration of generative AI platforms. The ability to integrate various digital tools to create a cohesive and engaging learning experience is paramount.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong emphasis on exploring new technologies like AI and digital tools to push the boundaries of learning design and delivery.

• Collaboration & Teamwork: A culture that values open communication, knowledge sharing, and collective problem-solving across diverse teams and disciplines.

• Impact & Excellence: A drive to create learning solutions that deliver tangible business value, enhance employee capabilities, and uphold the high standards associated with PwC.

• Continuous Learning & Adaptability: A commitment to staying abreast of industry trends, evolving technologies, and adapting approaches to meet changing business needs.

• Responsible Technology Adoption: A focus on using new technologies, including AI, ethically and responsibly, ensuring data privacy, fairness, and accuracy.

Collaboration Style:

• Cross-Functional Integration: Actively working with instructional designers, learning technologists, subject matter experts, and business stakeholders to co-create solutions.

• Open Feedback Culture: Encouraging constructive feedback on designs and processes to foster continuous improvement and shared learning.

• Agile Methodologies: Potentially adopting agile principles for iterative development and rapid prototyping of learning solutions.

• Knowledge Sharing: Proactively sharing insights, best practices, and learnings from AI experimentation with colleagues.

📝 Enhancement Note: PwC's culture is generally professional, client-focused, and performance-driven, with an increasing emphasis on innovation and digital transformation. For this role, candidates should demonstrate a proactive, curious, and collaborative mindset, aligning with the firm's drive to embrace new technologies like AI in its learning and advisory services.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Evolution: Keeping up with the rapid advancements in AI technology and its applications in learning requires continuous learning and adaptation.

• Ethical AI Implementation: Navigating the ethical considerations, potential biases, and data privacy concerns associated with using AI in learning design and delivery.

• Stakeholder Alignment: Ensuring buy-in and managing expectations across various stakeholder groups who may have different levels of understanding or enthusiasm for AI in learning.

• Measuring AI Impact: Developing effective metrics and methodologies to accurately assess the ROI and effectiveness of AI-driven learning initiatives.

• Balancing Innovation with Standards: Integrating cutting-edge AI approaches while maintaining PwC's rigorous quality, accuracy, and brand standards for learning content.

Learning & Development Opportunities:

• AI Specialization: Opportunity to become a go-to expert in AI applications for learning and development within PwC.

• Advanced Digital Design Skills: Further development in areas like interactive e-learning, multimedia production, and learning analytics.

• Cross-Disciplinary Experience: Exposure to a wide range of PwC's services and client challenges, broadening understanding of business operations.

• Project Leadership: Potential to lead design aspects of larger learning projects or take on more complex design challenges.

• Industry Engagement: Possibility to attend industry conferences or webinars related to AI in learning and digital transformation.

📝 Enhancement Note: The challenges inherent in this role are significant but also present substantial opportunities for professional growth. Candidates who are motivated by innovation and comfortable with ambiguity will find this role particularly rewarding.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used a new technology or digital tool to significantly improve a learning experience. How did you approach it, and what was the outcome?" (Assesses innovation, technical adoption, and impact.)

• "How would you design a learning program to help a non-technical audience understand and confidently use generative AI tools like ChatGPT in their professional work?" (Assesses AI upskilling design, audience awareness, and practical application.)

Company & Culture Questions:

• "What interests you most about PwC and our commitment to technology and innovation?" (Assesses research and cultural alignment.)

• "How do you envision the role of AI shaping the future of learning and development within a professional services firm like PwC?" (Assesses strategic thinking and industry foresight.)

Portfolio Presentation Strategy:

• Start with the "Why": Clearly articulate the business problem or learning need for each case study.

• Show, Don't Just Tell: Use visuals, screenshots, or short demos of your learning materials.

• Explain Your Process: Walk through your design methodology and decision-making steps.

• Quantify Results: Present data on the impact and effectiveness of your solutions.

• Connect to AI: For each project, briefly touch upon how AI could have enhanced it, or how you foresee AI playing a role in similar future projects.

• Be Prepared for Q&A: Anticipate questions about your design choices, challenges faced, and future applications of AI.

📝 Enhancement Note: Interviewers will be looking for a blend of pedagogical expertise, technical curiosity, and strong interpersonal skills. Demonstrating an understanding of PwC's strategic direction regarding AI and digital transformation will be highly beneficial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the PwC UK careers portal, ensuring your CV is up-to-date and highlights relevant experience in digital learning design and any AI exposure.

• Curate Your Portfolio: Select 3-5 of your best digital learning design projects. Focus on showcasing variety, innovation, and measurable impact. Prepare to discuss how AI could enhance these or similar projects.

• Tailor Your CV: Emphasize keywords related to digital learning design, instructional design, AI, generative AI, learning technologies, stakeholder collaboration, and project coordination. Quantify achievements where possible.

• Practice Your Narrative: Prepare to articulate your experience clearly and concisely, particularly during portfolio presentations and competency-based interviews. Practice explaining your design process and the impact of your work.

• Research PwC's AI Strategy: Understand PwC's broader initiatives in AI and digital transformation. This will help you tailor your responses and demonstrate genuine interest and strategic 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.