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

Location: Manchester, United Kingdom (with flexibility for Leeds, Watford, Newcastle-upon-Tyne, Birmingham)

Job Type: Full-Time, Temporary (12-month Fixed-Term Contract)

Category: Learning & Development / Internal Firm Services Operations

Date Posted: April 24, 2026

Experience Level: Manager (Implied 5-10 years)

Remote Status: Hybrid (with up to 20% travel)

🚀 Role Summary

• Design and deliver cutting-edge, technology-enabled learning experiences, with a strong emphasis on leveraging Generative AI and digital innovation.

• Spearhead AI upskilling initiatives to enhance colleague confidence and capability in utilizing AI tools responsibly and effectively within their work.

• Collaborate with cross-functional teams, including Learning, Innovation, and business units, to identify and integrate AI into learning design and delivery strategies.

• Drive continuous improvement in learning methodologies by experimenting with AI, sharing best practices, and ensuring content accuracy and adherence to standards.

📝 Enhancement Note: This role is positioned within PwC's Internal Firm Services (IFS) and specifically within the "Technology, Data & Collaboration Center of Excellence (TD&C CoE)" and the Digital Design team. While not a traditional Revenue Operations or Sales Operations role, it heavily involves operationalizing learning and development through technology and AI, requiring a strong understanding of process design, content strategy, and stakeholder management – all critical skills in operations. The "Manager" level and implied experience suggest a senior individual contributor or team lead capacity.

📈 Primary Responsibilities

• Learning Solution Design: Conceptualize, design, and develop engaging, AI-enhanced learning solutions and digital experiences aligned with business needs and learning objectives.

• AI Integration in Learning: Proactively identify and pilot opportunities to integrate generative AI and other digital innovations to improve learning creativity, efficiency, and impact.

• Cross-Functional Collaboration: Partner with Subject Matter Experts (SMEs), Instructional Designers, Technologists, and business stakeholders to gather requirements, co-create content, and ensure learning solutions are relevant and impactful.

• AI Upskilling Program Support: Contribute to the design, development, and rollout of AI upskilling programs, focusing on building user confidence and promoting responsible AI adoption.

• Content Development & Curation: Oversee the creation, review, and curation of learning content, ensuring accuracy, quality, and consistency with PwC's standards, leveraging AI tools where appropriate.

• Technology Enablement: Support the deployment and adoption of digital learning technologies for both live and virtual learning environments.

• Process Improvement: Continuously evaluate and refine learning design and delivery processes, experiment with new AI methodologies, and share best practices across the L&D function.

• Stakeholder Engagement: Effectively communicate project progress, insights, and recommendations to various stakeholders, fostering buy-in and alignment.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic design thinking and tactical execution, particularly in the application of AI to learning. This requires a strong operational mindset for program management, content lifecycle management, and technology deployment.

🎓 Skills & Qualifications

Education:

• Preferred: Bachelor's or Master's degree in a relevant field such as Instructional Design, Education Technology, Learning & Development, Human Resources, Computer Science, or a related discipline.

• Note: While specific degrees are not mandated, a strong understanding of adult learning principles and digital learning methodologies is essential.

Experience:

• Demonstrated experience (typically 5-10 years) in digital learning design, instructional design, or a similar role within a corporate Learning & Development environment.

• Proven experience in designing and developing engaging, technology-enabled learning solutions.

Required Skills:

• Digital Learning Design: Expertise in designing and developing blended learning experiences, e-learning modules, and other digital learning assets.

• Generative AI Understanding: A strong understanding of generative AI capabilities and their application in content creation, learning design, and user engagement.

• Instructional Design Methodologies: Proficiency in adult learning theories (e.g., ADDIE, SAM) and their practical application.

• Content Strategy & Curation: Ability to develop and manage content strategies, curate relevant materials, and ensure content quality and accuracy.

• Collaboration & Communication: Excellent interpersonal, verbal, and written communication skills, with the ability to effectively collaborate with diverse teams and stakeholders.

• Adaptability & Learning Agility: A proactive approach to learning new technologies and methodologies, with a willingness to experiment and embrace change.

Preferred Skills:

• AI Tool Proficiency: Hands-on experience with AI-powered content creation tools, AI learning platforms, or AI-driven personalization engines.

• Design Thinking: Experience applying design thinking principles to solve complex learning challenges.

• Facilitation Skills: Experience in facilitating workshops or training sessions, both in-person and virtual.

• Data Analysis & Reporting: Ability to analyze learning effectiveness data and report on key metrics to inform continuous improvement.

• Curriculum Development: Experience in developing comprehensive curricula and learning paths.

• Project Management Tools: Familiarity with project management software (e.g., Asana, Trello, Jira) for tracking progress and managing workflows.

📝 Enhancement Note: The "Optional Skills" list from the source data provides a rich pool of relevant competencies. These should be considered as strong indicators of desired candidate profiles. Skills like "Accepting Feedback," "Active Listening," "Empathy," and "Emotional Regulation" highlight the importance of soft skills and a user-centric approach in learning design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Learning Design Case Studies: Showcase examples of digital learning solutions designed, demonstrating the application of instructional design principles and technology.

• AI Integration Examples: Highlight any projects where AI or innovative technologies were used to enhance learning design, delivery, or user experience.

• Process Optimization Examples: Present instances where learning processes were analyzed, redesigned, or optimized for efficiency or effectiveness.

• Collaboration Success Stories: Illustrate successful cross-functional collaborations on learning projects, demonstrating stakeholder management and problem-solving.

• Impact Measurement: Include examples of how learning initiatives were measured for effectiveness and impact, with quantifiable results where possible.

Process Documentation:

• Demonstrate an understanding of the learning design lifecycle, from needs analysis and design to development, implementation, and evaluation.

• Ability to document learning processes, workflows, and best practices clearly and concisely.

• Experience in creating user guides or process documentation for learning technologies or AI tools.

📝 Enhancement Note: For this role, a portfolio should emphasize the process of designing and implementing learning solutions, with a specific focus on how AI was integrated and what impact it had. Quantifiable results and clear articulation of the problem, solution, and outcome are crucial.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: £55,000 - £75,000 per annum, dependent on experience and specific location within the UK.

• Methodology: This estimate is based on typical salary benchmarks for Manager-level roles in Learning & Development, Digital Design, and Consulting within the UK's professional services sector, considering the specified locations (Manchester, Leeds, Watford, Newcastle, Birmingham) and the 12-month fixed-term contract nature of the role. The inclusion of AI specialization and a large firm like PwC suggests a competitive offering.

Benefits:

• Empowered Flexibility: A hybrid working model allowing for a balance between office, home, and client site work.

• Private Medical Cover: Comprehensive health insurance for employees.

• Virtual GP Access: 24/7 access to a qualified virtual General Practitioner for convenient medical consultations.

• Volunteering Days: Six paid days per year dedicated to volunteering activities, supporting community engagement.

• Pension Scheme: Standard company pension contributions.

• Professional Development: Opportunities for continuous learning and skill development, particularly in AI and digital learning.

• Employee Assistance Program (EAP): Support services for personal and professional well-being.

Working Hours:

• Typically 40 hours per week, with flexibility expected given the hybrid and consulting nature of the role. The specific schedule can be discussed, aligning with project needs and team collaboration.

📝 Enhancement Note: The benefits package highlights PwC's commitment to employee well-being and work-life balance, which is attractive for operations professionals seeking a supportive environment. The fixed-term nature of the contract may influence the overall compensation package compared to a permanent role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Professional Services / Consulting (with a focus on technology and human capital)

Company Size: Large (PwC is a global network of firms with over 360,000 employees worldwide).

Founded: 1849 (PwC has a long-standing history and established reputation).

Team Structure:

• Department: Internal Firm Services (IFS) - Technology, Data & Collaboration (TD&C) Center of Excellence (CoE).

• Team: Digital Design Team within Firmwide Learning & Development.

• Reporting: The role likely reports to a Senior Manager or Director within the Learning & Development or TD&C CoE function.

• Collaboration: High degree of cross-functional collaboration with learning designers, technologists, innovation specialists, business unit leaders, and subject matter experts across PwC.

Methodology:

• Learning Design: Emphasis on user-centric design, leveraging digital innovation and AI to create impactful learning experiences.

• AI Adoption: A strategic approach to exploring, testing, and integrating AI responsibly into business processes, including learning.

• Continuous Improvement: A culture of experimentation, feedback, and iterative refinement of processes and solutions.

• Data-Driven Insights: Utilizing data to inform learning design, measure effectiveness, and drive business outcomes.

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

📝 Enhancement Note: PwC's culture is generally characterized by professionalism, collaboration, a commitment to quality, and a focus on client service. Within IFS and L&D, there's likely a strong emphasis on innovation, efficiency, and enabling the wider firm's success through robust internal operations and talent development.

📈 Career & Growth Analysis

Operations Career Level: Managerial, with a focus on specialized design and consultation within the L&D operational framework. This role is about operationalizing learning strategy through innovative design and technology.

Reporting Structure: Reports into Senior Management within L&D or TD&C CoE, with extensive interaction across various business units and project teams.

Operations Impact: Directly impacts the firm's ability to adapt and thrive by ensuring colleagues have the necessary skills, particularly in emerging areas like AI. The operationalization of AI upskilling contributes to workforce agility, innovation, and the firm's competitive edge.

Growth Opportunities:

• AI Specialization: Deepen expertise in AI applications for learning and development, becoming a go-to specialist within PwC.

• Digital Learning Leadership: Transition into roles with broader responsibility for digital learning strategy, program management, or team leadership within L&D.

• Consulting Skills Development: Enhance consulting acumen through client-facing (internal) interactions, stakeholder management, and solution design.

• Innovation Leadership: Contribute to firm-wide innovation initiatives, potentially leading pilot projects or new technology integrations.

• Permanent Role Conversion: Depending on business needs and performance, there may be opportunities for conversion to a permanent position.

📝 Enhancement Note: This FTC role offers a significant opportunity to gain specialized experience in a high-demand area (AI in L&D) within a major professional services firm, which can be a strong stepping stone for future operational or consulting roles.

🌐 Work Environment

Office Type: Hybrid model, balancing remote work with office-based collaboration and client-site engagement. PwC offices are typically modern, professional, and equipped with collaborative spaces.

Office Location(s): Flexible across Manchester (1 Hardman Square), Leeds, Watford, Newcastle-upon-Tyne, and Birmingham. Candidates should be willing to travel to one of these hubs.

Workspace Context:

• Collaborative Spaces: Offices are designed to facilitate teamwork, brainstorming, and knowledge sharing, essential for design and consulting roles.

• Technology Access: Access to PwC's extensive technology infrastructure, software, and digital tools, including those related to AI and learning development.

• Team Interaction: Regular opportunities for informal and formal interaction with colleagues within the Digital Design team, TD&C CoE, and broader IFS functions.

Work Schedule: Standard working hours (approx. 40 hours/week) with an emphasis on flexibility and achieving project outcomes. This allows for effective planning of design sprints, AI experimentation, and stakeholder meetings.

📝 Enhancement Note: The hybrid setup and multiple office locations offer flexibility, but candidates must be comfortable with a degree of in-person collaboration and potential travel, which is typical for consulting-oriented roles within large organizations.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Talent Acquisition will review applications and CVs, focusing on relevant experience in digital learning, AI interest, and collaboration skills.

• Hiring Manager Interview: A discussion with the hiring manager to assess technical skills, understanding of AI in learning, alignment with team objectives, and cultural fit. Portfolio review may occur here.

• Case Study / Practical Exercise: Candidates may be asked to complete a practical exercise or present a case study showcasing their design process, AI integration ideas, or problem-solving approach. This is a key opportunity to demonstrate operations thinking.

• Team/Stakeholder Interview: Interviews with potential team members or key stakeholders to evaluate collaboration style, communication effectiveness, and ability to work within PwC's culture.

• Final Offer: Based on overall assessment and fit.

Portfolio Review Tips:

• Structure: Organize your portfolio logically, perhaps by project type or skill demonstrated. Clearly label each piece.

• AI Focus: For this role, prominently feature any work demonstrating your understanding and application of AI in learning. Explain how and why you used AI.

• Process Narrative: For each case study, articulate the problem, your design process, the tools and methodologies used (especially AI), the challenges faced, and the measurable outcomes.

• Visual Appeal: Ensure your portfolio is visually engaging and easy to navigate. Use clear visuals, concise descriptions, and highlight key achievements.

• Quantifiable Results: Wherever possible, include data that demonstrates the impact of your work (e.g., improvements in engagement, completion rates, skill acquisition, efficiency gains).

Challenge Preparation:

• AI in L&D Scenarios: Anticipate questions about how you would design an AI upskilling program, identify AI use cases in learning, or address ethical considerations of AI in education.

• Design Process Questions: Be ready to walk through your typical learning design process, explaining your decision-making at each stage.

• Collaboration Scenarios: Prepare examples of how you've worked with diverse teams to deliver complex projects, manage conflicting priorities, or drive adoption of new initiatives.

• PwC Context: Research PwC's values, recent initiatives (especially around technology and AI), and understand the role of IFS.

📝 Enhancement Note: The interview process will likely assess not just technical skills but also the candidate's ability to operate within a large, matrixed organization and contribute to operationalizing firm-wide initiatives. The portfolio is critical for demonstrating practical application of skills.

🛠 Tools & Technology Stack

Primary Tools:

• Learning Management Systems (LMS): Familiarity 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 (e.g., Articulate Storyline/Rise, Adobe Captivate).

• AI Content Generation Tools: Experience or familiarity with AI tools for text generation, image creation, video scripting, or content summarization (e.g., ChatGPT, Jasper, Midjourney, Synthesia).

• Collaboration Platforms: Microsoft Teams, Slack, or similar for daily communication and project collaboration.

Analytics & Reporting:

• LMS Analytics: Ability to extract and interpret data from LMS platforms for reporting on learning engagement, completion, and effectiveness.

• Data Visualization Tools: Experience with tools like Tableau, Power BI, or even advanced Excel for creating dashboards and reports.

• Survey Tools: For gathering feedback on learning programs (e.g., SurveyMonkey, Qualtrics).

CRM & Automation:

• While not a direct CRM role, understanding how learning data integrates with HRIS or talent management systems (like Workday) is beneficial.

• Familiarity with workflow automation principles can be advantageous for streamlining learning processes.

📝 Enhancement Note: A strong candidate will be able to articulate how they leverage technology, particularly AI, to enhance the efficiency and effectiveness of learning operations. Demonstrating a proactive approach to adopting and integrating new tools is key.

👥 Team Culture & Values

Operations Values:

• Innovation: Embracing new technologies and methodologies to drive continuous improvement in learning and development.

• Collaboration: Working effectively across teams to achieve shared goals and deliver integrated solutions.

• Impact-Driven: Focusing on delivering learning experiences that have a tangible positive impact on individuals and the business.

• Excellence: Maintaining high standards of quality, accuracy, and professionalism in all aspects of work.

• Responsibility: Promoting the ethical and effective use of AI and other technologies.

Collaboration Style:

• Cross-Functional Integration: Actively seeking opportunities to collaborate with diverse teams (e.g., IT, HR, various business lines) to ensure learning solutions meet broad organizational needs.

• Open Communication: Fostering an environment of open dialogue, constructive feedback, and knowledge sharing.

• Agile Approach: Working in iterative cycles, adapting to feedback, and demonstrating flexibility in project execution.

📝 Enhancement Note: PwC's emphasis on "The New Equation" (combining tech and human ingenuity) likely permeates their internal culture, valuing individuals who can bridge the gap between technology and people development.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid AI Evolution: Keeping pace with the fast-changing landscape of AI technology and its applications in learning.

• Ethical AI Implementation: Navigating the complexities and ethical considerations of using AI in a professional, client-facing environment.

• Driving Adoption: Encouraging widespread adoption and effective use of AI tools and AI-enhanced learning among a diverse workforce.

• Measuring Impact: Quantifying the ROI and effectiveness of AI-driven learning initiatives, which can be complex.

• Balancing Innovation with Standards: Integrating new AI methods while maintaining PwC's high standards for quality, security, and compliance.

Learning & Development Opportunities:

• AI Specialization: Access to PwC's internal resources and training programs focused on AI, machine learning, and data science.

• Industry Certifications: Opportunities to pursue relevant certifications in instructional design, AI, or digital learning.

• Exposure to Diverse Projects: Working on a variety of learning initiatives across different PwC service lines and functions.

• Mentorship: Potential to be mentored by senior leaders in L&D, technology, and innovation.

📝 Enhancement Note: This role is ideal for someone who thrives in a dynamic environment, enjoys problem-solving, and is eager to be at the forefront of technological adoption in professional development.

💡 Interview Preparation

Strategy Questions:

• "How would you design an AI upskilling program for a firm like PwC, considering different roles and skill levels?"

• "Describe a time you used AI or innovative technology to improve a learning process or outcome. What was your approach, and what were the results?"

• "How do you stay current with advancements in AI and their potential applications in learning and development?"

Company & Culture Questions:

• "What interests you about PwC and this specific role within our Internal Firm Services?"

• "How do you approach collaboration with subject matter experts and stakeholders who may have varying levels of technical understanding?"

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation around a clear narrative: the business problem, your innovative solution (highlighting AI), the execution process, and the measurable impact.

• Demonstrate Process: Don't just show the final product; explain your thought process, design decisions, and how you overcame challenges. This showcases your operational thinking.

• AI Integration Clarity: Clearly articulate where and how AI was used, the value it added, and any limitations or considerations.

• Metrics & ROI: Be prepared to discuss the metrics you tracked and the ROI achieved. If direct ROI is difficult, discuss proxy measures of success (e.g., engagement, knowledge retention, efficiency gains).

• Q&A Readiness: Anticipate questions about your work and be ready to elaborate on any aspect of your portfolio.

📝 Enhancement Note: Focus on showcasing your ability to translate strategic objectives (like AI upskilling) into tangible, operationalized learning solutions. Emphasize your understanding of the "why" behind your design choices.

📌 Application Steps

To apply for this operations-adjacent learning design position:

• Submit your application through the provided Workday link.

• Portfolio Customization: Tailor your resume and cover letter to highlight experience in digital learning design, AI interest, collaboration, and any relevant project management or process improvement achievements.

• Portfolio Preparation: Select 2-3 strong case studies for your portfolio that best demonstrate your skills in AI integration, instructional design, and process optimization. Be ready to present these.

• Company Research: Thoroughly research PwC's approach to technology, AI, and learning & development. Understand their values and recent initiatives.

• Interview Practice: Practice articulating your experience, especially concerning AI applications in learning, and prepare to discuss your portfolio in detail.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions for a role focused on AI and digital learning design within a large professional services firm. All details should be verified directly with PwC during the application and interview process.