Learning Content Designer (Transformation)

📍 Job Overview

Job Title: Learning Content Designer (Transformation)

Company: ERM

Location: London, United Kingdom (with flexibility for Milan, Italy; Lisbon, Portugal; Paris, France; Madrid, Spain)

Job Type: Full-Time, 1-Year Fixed Term Contract

Category: Learning & Development Operations / GTM Enablement

Date Posted: April 22, 2026

Experience Level: Mid-Senior Level (estimated 5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Design and write high-quality, learner-centered learning content to build organizational capability and drive performance and behavior change.

• Rapidly synthesize complex, technical, and specialist knowledge into effective, engaging learning experiences using both human judgment and AI-enabled tools.

• Partner confidently with Subject Matter Experts (SMEs) and stakeholders across diverse services and regions to extract insights and translate them into usable learning assets.

• Deliver learning content at pace in ambiguous, fast-moving transformation-led environments, ensuring accuracy, relevance, and adherence to ERM standards.

• Create modular content across multiple formats (instructor-led, self-paced digital, microlearning, performance support) for reusability and adaptation.

📝 Enhancement Note: While this role is not strictly a "Revenue Operations" or "Sales Operations" role, the focus on designing content that enables capability, performance, and behavior change is critical for GTM enablement. The ability to translate complex information into actionable learning is directly transferable to operations functions that require clear process documentation, tool adoption training, and skill development for sales and client-facing teams. The mention of "Transformation" suggests a dynamic environment where standardized learning content is crucial for scaling and ensuring consistency.

📈 Primary Responsibilities

• Independently design and write learner-centered content aligned to defined outcomes, skills, and behaviors, applying instructional design principles for practical application.

• Rapidly distill complex, technical, or specialist information into effective learning content, prioritizing what matters most for learner performance and balancing speed with accuracy.

• Utilize generative AI tools for drafting, content variation, scenario generation, and summarization, while applying human judgment to validate accuracy, relevance, ethical use, and learning quality.

• Design learning content across multiple formats, including instructor-led materials, self-paced digital modules, microlearning, performance support, and blended learning campaigns.

• Create modular content that can be reused, recombined, and adapted over time, with a focus on designing assets for use in the flow of work.

• Work closely with SMEs across services and regions to efficiently extract insight, ask effective questions, and translate input into learner-centered content without over-reliance on raw source material.

• Build credibility as a learning partner who adds value through design judgment, utilizing learning content development tools efficiently and selecting appropriate formats based on learning needs, speed, and scale.

• Design content for delivery via LMS/LXP and workplace platforms (e.g., Teams, SharePoint), ensuring compliance with accessibility, inclusion, and ERM learning design standards.

📝 Enhancement Note: The emphasis on "rapid sense-making," "AI-augmented content development," and "multi-format learning" indicates a need for an operations-minded individual who can quickly grasp complex technical or business processes and translate them into digestible, actionable learning modules. This is akin to creating playbooks or process documentation for operations teams. The ability to work iteratively and deliver content at pace is a key operational requirement.

🎓 Skills & Qualifications

Education: Specific educational requirements are not detailed, but a Bachelor's degree in a relevant field (e.g., Instructional Design, Education, Communications, Business) or equivalent practical experience is likely expected.

Experience:

• Strong experience designing and writing learning content in complex or professional environments.

• Confidence working with technical, operational, or specialist subject matter.

• Experience partnering directly with Subject Matter Experts (SMEs) and stakeholders.

• Proven ability to deliver focused outcomes in fast-paced, ambiguous environments.

• Evidence of strong learning judgment, not solely relying on tool proficiency.

Required Skills:

• Instructional Writing & Learning Design: Ability to structure content that supports application and behavior change.

• Synthesis & Prioritization: Skill in distilling complex information and identifying key performance drivers.

• AI-Augmented Content Development: Proficiency in using generative AI tools for content creation and variation, coupled with strong editorial judgment.

• Stakeholder Management & SME Partnership: Ability to collaborate effectively with SMEs and stakeholders to extract insights.

• Multimodal Design: Experience creating content across various formats (instructor-led, digital, microlearning).

• Adaptability & Pace: Comfort working in fast-moving, ambiguous contexts and delivering at pace.

Preferred Skills:

• Consulting Mindset: Ability to act as a learning partner and add value through design expertise.

• Tool Fluency: Experience with learning content development tools and platforms (LMS/LXP, Teams, SharePoint).

• Accessibility & Inclusion Awareness: Understanding and application of accessibility and inclusion standards in content design.

• Global Organization Experience: Familiarity with working in international, cross-cultural environments.

• Behavioral Alignment: Ability to design content that influences and reinforces desired behaviors.

📝 Enhancement Note: The "AI-Augmented Content Development" requirement is critical. Candidates should be prepared to demonstrate how they've integrated AI tools into their workflow to enhance efficiency and scalability in content creation, while still maintaining human oversight for quality and ethical considerations. This reflects a modern operational approach to content production.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase diverse examples of learning content design and writing, ideally from complex or technical domains.

• Include case studies demonstrating the ability to synthesize complex information into clear, actionable learning assets.

• Highlight projects where AI tools were integrated into the content development workflow, showcasing efficiency gains and quality outcomes.

• Present examples of content created for multiple formats (e.g., facilitator guides, participant workbooks, e-learning modules, microlearning snippets, performance support tools).

Process Documentation:

• Examples of how you have documented instructional design processes or content development workflows.

• Evidence of applying a structured approach to content creation, from needs analysis to final delivery.

• Demonstrations of iterative content development, showing how feedback was incorporated to improve learning assets.

• Documentation of how accessibility and inclusion standards were integrated into the design process.

📝 Enhancement Note: For an operations-focused role, the portfolio should emphasize not just the final output but also the process by which that output was achieved. This includes efficiency, scalability, and the ability to adapt to evolving requirements, much like operational process improvement. Demonstrating the application of AI in a practical, workflow-integrated manner will be highly valued.

💵 Compensation & Benefits

Salary Range: Given the location (London, UK) and the mid-senior experience level (estimated 5-10 years), a competitive salary range for a Learning Content Designer in the UK professional services sector would typically fall between £45,000 - £65,000 per annum. This range can vary based on specific experience, skills, and the precise nature of the fixed-term contract.

Benefits:

• 1-Year Fixed Term Contract with potential for extension or conversion (speculative).

• Opportunity to work on impactful "Transformation" initiatives within a global organization.

• Access to learning and development opportunities, including potentially new AI tools and methodologies.

• Collaborative and inclusive work environment with a focus on Diversity, Inclusion & Belonging (DIB).

• Potential for flexible working arrangements (Hybrid model).

• Contribution to employee retention and client-ready talent development.

• Exposure to a wide range of subject matters across environmental, social, and governance (ESG) consulting.

Working Hours: Approximately 40 hours per week, with flexibility across time zones for global collaboration. The role is self-directed and pragmatic, emphasizing output and efficiency.

📝 Enhancement Note: The salary estimate is based on market research for Learning Content Designer roles in London, UK, within professional services firms, considering the estimated experience level. Benefits are inferred from standard offerings in global organizations and the specific mention of DIB and hybrid work. The fixed-term nature should be clearly communicated to candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Environmental, Social, and Governance (ESG) consulting. ERM is a global leader in sustainability consulting, providing strategic advice and solutions to businesses worldwide. This context means the learning content will likely cover complex topics related to sustainability, climate change, regulatory compliance, and corporate responsibility.

Company Size: ERM is a large global organization. Based on LinkedIn data, ERM has over 10,000 employees worldwide. This scale implies a need for standardized, scalable learning solutions that can reach a diverse, international workforce.

Founded: ERM was founded in 1971. This long history suggests a well-established company with a deep understanding of its industry, likely possessing robust internal processes and a culture that values expertise and long-term impact.

Team Structure:

• The role is part of a broader learning and development function, likely focused on organizational transformation and capability building.

• It operates globally, collaborating across North America (NA), Europe, Middle East, and Africa (EMEA), and other regions.

• The structure likely involves close partnerships with Subject Matter Experts (SMEs) embedded within various service lines and regional teams.

Methodology:

• Data-driven approach to identifying learning needs and measuring impact.

• Focus on practical, performance-oriented learning that can be applied directly in the flow of work.

• Utilization of modern learning technologies, including AI-enabled tools, to enhance efficiency and scalability.

• Iterative design and development process, emphasizing early delivery and continuous improvement.

• Commitment to accessibility, inclusion, and ethical learning practices.

Company Website: https://www.erm.com/

📝 Enhancement Note: The ESG consulting industry is rapidly evolving, requiring continuous learning and adaptation. This means the Learning Content Designer role is crucial for keeping ERM's workforce equipped with up-to-date knowledge and skills, directly supporting the company's growth strategy and client-delivery capabilities.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a specialist/mid-senior level position within the learning and development function. It requires significant hands-on experience in content design and writing, with a focus on practical application and delivery. The "Transformation" aspect suggests an opportunity to shape and contribute to significant organizational change through learning.

Reporting Structure: The role will likely report to a Learning Manager, Head of L&D, or a dedicated Transformation Lead within the HR or Learning function. Collaboration with SMEs will be a key part of the day-to-day, but the primary reporting line will be within the L&D team.

Operations Impact: The Learning Content Designer directly impacts ERM's ability to:

• Enable Client-Ready Talent: By creating learning that ensures employees possess the necessary skills and knowledge to deliver high-quality services to clients.

• Support Retention: By contributing to a positive employee experience through effective development and growth opportunities, making ERM a more attractive place to build a career.

• Drive Transformation: By developing content that facilitates the adoption of new processes, tools, and behaviors necessary for organizational change initiatives.

• Scale Capabilities: Through the creation of modular, reusable content and efficient AI-augmented development processes.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-augmented learning design, ESG-related content, or advanced instructional design methodologies.

• Project Leadership: Potentially lead smaller learning content projects or contribute significantly to larger transformation initiatives.

• Cross-Functional Exposure: Gain deeper understanding of ERM's various service lines and regional operations through SME collaborations.

• Career Path: Transition into roles such as Senior Learning Designer, Learning Strategist, L&D Project Manager, or even move into broader HR or business transformation roles within ERM.

📝 Enhancement Note: The role's impact is intrinsically linked to operational efficiency and effectiveness. By enabling employees with the right knowledge and skills, this role directly supports ERM's ability to deliver services, retain talent, and achieve strategic growth objectives. The emphasis on "building capability at scale" is a core operational objective.

🌐 Work Environment

Office Type: Hybrid work model, allowing for a blend of remote work and in-office collaboration. This suggests a modern, flexible work environment designed to balance individual productivity with team interaction.

Office Location(s): Primary location is London, United Kingdom, with flexibility for individuals based in Milan, Italy; Lisbon, Portugal; Paris, France; or Madrid, Spain. This indicates a pan-European operational footprint for the role.

Workspace Context:

• Collaborative Environment: The hybrid model encourages collaboration, likely with opportunities for team meetings, workshops, and brainstorming sessions both in-person and virtually.

• Operations Tools & Technology: Access to learning content development tools, AI platforms, and standard workplace collaboration tools (e.g., Microsoft Teams, SharePoint) is expected.

• Team Interaction: Regular interaction with the L&D team, SMEs across various business units, and potentially project stakeholders involved in transformation initiatives. The "flexible across time zones" requirement suggests a global, digitally connected team.

Work Schedule: Full-time, approximately 40 hours per week. The role emphasizes being "self-directed, pragmatic and improvement-oriented," suggesting a focus on task completion and output rather than strict adherence to a rigid schedule, while still requiring availability for global collaboration.

📝 Enhancement Note: The hybrid and multi-location aspect requires strong self-management and digital collaboration skills, which are increasingly important for operations roles that span dispersed teams. The ability to work effectively across different cultural contexts and time zones is a key operational competency.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV and portfolio to assess experience in learning content design, AI integration, and stakeholder engagement.

• Skills-Based Interview(s): Likely to involve discussions on instructional design principles, experience with complex subject matter, and how candidates approach synthesis and rapid development. Expect behavioral questions related to ambiguity, collaboration, and problem-solving.

• Portfolio Presentation/Case Study: Candidates will likely be asked to present a selection of their work, explaining their design process, the challenges faced, how they partnered with SMEs, and the impact of their content. A specific case study related to designing learning for a "transformation" or complex technical topic might be assigned.

• Final Interview: May involve meeting with senior leadership or key stakeholders to assess cultural fit, strategic thinking, and overall alignment with ERM's values and transformation goals.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best demonstrate the requirements: instructional design, AI integration, complex subject matter translation, multi-format delivery, and SME collaboration.

• Showcase the "How": For each project, clearly articulate the problem, your approach (including AI use), the design process, your role, and the outcomes/impact. Quantify results where possible (e.g., efficiency gains from AI, learner feedback).

• Highlight AI Integration: Be ready to explain how you used AI tools (e.g., for drafting, variation, summarization) and how you applied your own judgment to ensure quality, accuracy, and ethical use.

• Address Ambiguity: If you have examples of working in uncertain or rapidly changing environments, highlight them.

• Prepare for SME Collaboration Stories: Be ready to share specific examples of how you partnered with SMEs, managed their input, and translated their expertise into learner-focused content.

Challenge Preparation:

• AI Use Case: Prepare to discuss how you would use AI to accelerate learning content development for a hypothetical ERM transformation initiative.

• Synthesis Challenge: Be ready to outline your process for quickly understanding a complex technical or business concept and turning it into a concise learning objective and content outline.

• Instructional Design Principles: Review core ADDIE or SAM models, adult learning principles, and how to design for performance and behavior change.

📝 Enhancement Note: Given the emphasis on AI and rapid development, expect interviewers to probe deeply into practical application rather than theoretical knowledge. Demonstrating a pragmatic, results-oriented approach to content creation, much like an operational process, will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Learning Content Development Tools: Proficiency with authoring tools such as Articulate Storyline/Rise, Adobe Captivate, or similar platforms for creating e-learning modules and interactive content.

• AI-Augmented Drafting Tools: Experience with generative AI platforms (e.g., ChatGPT, Gemini, Claude) for content creation, variation, summarization, and scenario generation. The ability to integrate these tools into a workflow is crucial.

• Collaboration Platforms: Proficient use of Microsoft Teams, SharePoint, and other digital collaboration tools for team communication, document sharing, and project management.

Analytics & Reporting:

• Learning Management Systems (LMS) / Learning Experience Platforms (LXP): Familiarity with platforms like Workday Learning, Cornerstone OnDemand, Degreed, or similar, for content deployment and tracking learner progress.

• Data Analysis Basics: While not a data analyst role, understanding how to interpret basic learning analytics to inform content improvements would be beneficial.

CRM & Automation:

• This is less directly applicable to this specific role, but understanding how learning content supports broader business processes (e.g., sales enablement, client service improvement) is valuable.

📝 Enhancement Note: The explicit mention of "AI-enabled tools" and "use generative AI tools" makes this a primary technical requirement. Candidates should be prepared to discuss specific tools and their practical application in a learning design workflow. Familiarity with workplace collaboration tools like Teams and SharePoint is also a standard operational requirement.

👥 Team Culture & Values

Operations Values:

• Capability Building at Scale: A core value is enabling ERM’s growth strategy through the provision of client-ready talent at volume. This implies a focus on scalable, efficient learning solutions.

• Service Attitude: Demonstrating a "service attitude" mindset, contributing to business deliverables with a proactive and supportive approach.

• Embrace Ambiguity: Comfort with and ability to champion ERM's beliefs, especially in environments experiencing significant change and growth.

• Resourcefulness & "Doer" Attitude: The ability to "figure things out" independently, demonstrating a pragmatic, improvement-oriented approach.

• Inclusion & Belonging: ERM is committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to thrive. This value should be reflected in content design and collaboration.

Collaboration Style:

• Global Collaboration: Working effectively across different regions, cultures, and time zones.

• SME Partnership: Building strong working relationships with Subject Matter Experts to leverage their knowledge efficiently and respectfully.

• Iterative & Pragmatic: A willingness to work iteratively, producing usable content early and improving it over time, reflecting a lean operational approach.

• Improvement-Oriented: A continuous drive to optimize processes and learning outcomes.

📝 Enhancement Note: The emphasis on "transformation," "growth strategy," and "service attitude" highlights that this role is deeply integrated with ERM's business objectives. The culture values proactive problem-solving and efficient execution, akin to operational excellence.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Synthesizing Complex Information: Distilling highly technical or specialized ESG-related knowledge into digestible learning content quickly.

• Balancing Pace, Accuracy, and Quality: Delivering content at speed in a transformation environment without compromising learning effectiveness or ERM standards.

• Effective AI Integration: Leveraging AI tools to accelerate workflows while maintaining human judgment, ethical use, and high-quality learning outcomes.

• Global Stakeholder Management: Collaborating effectively with SMEs and stakeholders across diverse regions and time zones.

• Adapting to Evolving ESG Landscape: Keeping pace with the rapidly changing field of sustainability and ensuring learning content remains relevant and impactful.

Learning & Development Opportunities:

• AI in Learning: Deepen expertise in leveraging generative AI for content creation and instructional design.

• ESG Subject Matter: Gain specialized knowledge in various facets of environmental, social, and governance consulting.

• Instructional Design Craft: Refine skills in multimodal design, adult learning principles, and performance-based learning.

• Global Project Exposure: Contribute to large-scale transformation initiatives impacting ERM's global workforce.

• Networking: Build a strong network of SMEs and L&D professionals across ERM's international operations.

📝 Enhancement Note: The challenges are directly related to operational demands: speed, complexity, and scalability. The growth opportunities offer a path to becoming a highly specialized and valuable L&D professional within the ESG consulting sector.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for rapidly synthesizing complex technical information into a clear learning module. How would you prioritize what's essential for employee performance?" (Focus on synthesis, prioritization, and learner-centric design)

• "How have you used AI tools in your learning content design process? What were the benefits, and what were the critical steps you took to ensure quality and ethical use?" (Focus on practical AI integration, judgment, and quality control)

Company & Culture Questions:

• "Based on your understanding of ERM, how would you approach designing learning content to support a major organizational transformation initiative?" (Focus on understanding ERM's business, transformation, and application of learning design)

• "How do you ensure your learning content is inclusive and accessible to a global audience with diverse backgrounds and needs?" (Focus on DIB values and practical application)

Portfolio Presentation Strategy:

• Structure for Success: For each portfolio piece, use a clear structure: Problem/Need -> Target Audience -> Learning Objectives -> Your Solution (Design & Content) -> AI Integration (if applicable) -> Challenges -> Outcome/Impact.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your work (e.g., efficiency gains from AI, learner feedback scores, adoption rates of new processes).

• Showcase Adaptability: Highlight projects where you had to adapt content for different audiences, formats, or rapidly changing requirements.

• Tell a Story: Connect your projects to ERM's mission and the "Transformation" theme. Explain why this content was important and how it supported business goals.

Challenge Preparation:

• AI Prompt Engineering: Practice crafting effective prompts for generative AI to produce specific types of learning content (e.g., scenarios, explanations, summaries).

• Instructional Writing Exercise: Be prepared for a short writing exercise to assess clarity, conciseness, and engagement in your writing style.

• Process Mapping: Think about how you would map out a typical learning content development process, incorporating AI and stakeholder feedback loops.

📝 Enhancement Note: The interview questions are designed to probe practical application, problem-solving skills, and the ability to operate effectively in a dynamic, global, and transformation-focused environment. Demonstrating a structured, efficient, and collaborative approach, akin to effective operations management, will be highly beneficial.

📌 Application Steps

To apply for this operations-aligned learning content position:

• Submit your application through the ERM careers portal via the provided link.

• Portfolio Customization: Curate your portfolio to prominently feature examples demonstrating your experience with complex subject matter, AI-augmented content creation, and multi-format instructional design, aligning them with ERM's ESG focus where possible.

• Resume Optimization: Tailor your resume to highlight keywords such as "instructional design," "learning content writing," "generative AI," "synthesis," "stakeholder management," "transformation," and "global L&D." Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, AI integration strategies, and stakeholder collaboration experiences. Prepare a concise presentation of your portfolio, focusing on impact and efficiency.

• Company Research: Thoroughly research ERM's mission, values, services, and recent transformation initiatives. Understand their commitment to sustainability and inclusion to demonstrate cultural fit 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.