Learning Content Designer (Transformation) (Fixed Term)

ERM
Full-timeβ€’Houston, United States

πŸ“ Job Overview

Job Title: Learning Content Designer (Transformation) (Fixed Term)

Company: ERM

Location: Houston, Texas, United States

Job Type: FULL_TIME

Category: Learning & Development Operations / Training Operations

Date Posted: April 24, 2026

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

Remote Status: Hybrid

πŸš€ Role Summary

  • Design and develop high-impact, learner-centered learning content that drives performance and behavior change across a global organization.

  • Leverage generative AI tools responsibly to accelerate content creation and enhance learning asset scalability while maintaining human oversight for accuracy and effectiveness.

  • Collaborate with subject matter experts (SMEs) and stakeholders across diverse services and regions to synthesize complex, technical information into accessible and practical learning solutions.

  • Contribute to a consistent and engaging learner experience by designing modular, reusable content suitable for various formats and delivery platforms, including LMS/LXP and workplace tools.

πŸ“ Enhancement Note: This role focuses heavily on the operational aspects of learning delivery within a large, global consultancy. The emphasis on "transformation" and "AI-enabled tools" suggests a need for agility, process optimization, and a forward-thinking approach to content development. The fixed-term nature indicates a project-driven environment, likely focused on a specific organizational change or upskilling initiative.

πŸ“ˆ Primary Responsibilities

  • Design and write learner-centered learning content that is aligned with defined outcomes, skills, and desired behaviors, focusing on practical application.

  • Rapidly synthesize complex, technical, or specialist information from subject matter experts into effective, usable learning content and engaging learning narratives.

  • Employ generative AI tools for first-draft creation, content variation, scenario generation, summarization, and iterative development, applying strong editorial and learning judgment to ensure accuracy, relevance, and ethical use.

  • Create modular and reusable learning content adaptable for various formats, including instructor-led training (ILT), self-paced digital modules, blended learning programs, and campaign-based learning initiatives.

  • Partner effectively with SMEs across different services and geographical regions to efficiently extract insights and translate them into learner-focused content, acting as a learning consultant.

  • Build learning assets using appropriate tools and formats, ensuring content is designed for delivery via Learning Management Systems (LMS), Learning Experience Platforms (LXP), and workplace platforms like Microsoft Teams.

  • Apply accessibility, inclusion, and ERM's specific learning design standards consistently throughout all content development.

  • Manage and coordinate learning logistics, including scheduling, instructor communications, and virtual session setup, while maintaining accurate training records and LMS data.

  • Support the evaluation of learning programs by analyzing survey feedback, engagement metrics, and performance data to identify areas for improvement.

  • Collaborate with Global Learning Program Leads to prepare and distribute learning materials and contribute to continuous improvement initiatives and process documentation.

πŸ“ Enhancement Note: Responsibilities are structured around the end-to-end learning content lifecycle, from initial SME consultation and synthesis to content creation, deployment, and evaluation. The inclusion of AI augmentation, multi-format design, and operational coordination highlights the multifaceted nature of this role within a modern L&D operation.

Ι  Skills & Qualifications

Education: While specific degree requirements are not listed, a Bachelor's degree in Instructional Design, Education, Communications, or a related field is typically expected for this level of role. Equivalent practical experience will also be considered.

Experience:

  • Estimated 5-10 years of progressive experience in instructional design, learning content development, or a similar role, with a strong focus on creating practical, performance-oriented learning solutions.

  • Demonstrated success in independently designing and writing learning content that aligns with specific learning outcomes, skills, and behavioral objectives.

  • Proven experience in rapidly distilling complex, technical, or specialized information into clear, accessible, and effective learning assets.

  • Hands-on experience utilizing generative AI tools (e.g., for drafting, variation, scenario generation) as part of a content development workflow.

  • Experience designing learning across multiple formats: instructor-led (virtual and in-person), self-paced digital, blended learning, and targeted learning campaigns.

  • Track record of creating modular, reusable learning content suitable for integration into "flow of work" learning strategies.

  • Experience managing and collaborating with Subject Matter Experts (SMEs) across diverse geographical locations and business units.

  • Familiarity with designing learning content for delivery through Learning Management Systems (LMS) and Learning Experience Platforms (LXP), as well as workplace collaboration tools.

  • Understanding and application of accessibility and inclusion standards in learning design.

  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Teams).

  • Experience with LMS platforms, with a preference for Cornerstone OnDemand.

  • Excellent written and verbal communication skills, with the ability to articulate complex ideas clearly.

  • Strong organizational and time management skills with a keen eye for detail.

Required Skills:

  • Instructional Design

  • Learning Content Writing

  • Generative AI Application (for content creation)

  • Sense-Making & Information Synthesis

  • Stakeholder Management & SME Partnership

  • Learning Management System (LMS) Proficiency (Cornerstone OnDemand preferred)

  • Learning Experience Platform (LXP) Familiarity

  • Digital Learning Design

  • Blended Learning Design

  • Accessibility & Inclusion Standards

  • Technical Writing

  • Project Coordination

  • Microsoft Office Suite Proficiency

  • Excellent Written & Verbal Communication

  • Time Management & Organization

Preferred Skills:

  • Experience in a direct Learning, HR, or client-facing engagement role.

  • Familiarity with virtual learning tools (e.g., Zoom, MS Teams, Galaxy LXP).

  • Understanding of adult learning principles and advanced instructional design methodologies.

  • Experience coordinating learning or training programs within a global or matrixed organizational structure.

πŸ“ Enhancement Note: The emphasis on AI tools, modular content, and flow-of-work learning indicates a need for modern instructional design practices. Proficiency with specific platforms like Cornerstone OnDemand is a key differentiator. The requirement for adaptability in ambiguous environments points to a transformation-focused role.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Instructional Design Projects: Showcase 2-3 distinct projects demonstrating the full instructional design lifecycle, from needs analysis and objective setting to content development and evaluation. Highlight the strategic thinking behind each design choice.

  • Content Samples: Provide diverse examples of learning content created, such as e-learning modules, facilitator guides, participant workbooks, job aids, or microlearning assets. Emphasize content clarity, learner engagement, and adherence to design standards.

  • AI Integration Examples: If possible, include a project or section where AI tools were used to augment content creation. Clearly articulate the AI's role, the input provided, the output generated, and how human judgment was applied to refine the final product.

  • Performance Improvement Focus: For each project, clearly articulate the intended performance outcomes, skills to be developed, or behaviors to be changed, and how the learning content was designed to achieve these goals. Quantify impact where possible.

  • Technology Application: Demonstrate familiarity with learning technologies by showing content designed for specific platforms (LMS, LXP, SharePoint, Teams) or by detailing the tools used in development.

Process Documentation:

  • Workflow Design: Be prepared to discuss your typical process for designing and developing learning content, including how you engage SMEs, conduct analysis, structure content, and integrate feedback.

  • AI Workflow Integration: Explain how you would integrate AI tools into your existing content development workflow to enhance efficiency and scalability while maintaining quality and ethical standards.

  • Quality Assurance & Review: Describe your approach to quality assurance, including how you ensure content accuracy, relevance, accessibility, and alignment with learning objectives and organizational standards.

  • Content Management & Iteration: Discuss how you approach creating modular and reusable content, and how you manage content updates and iterations over time.

πŸ“ Enhancement Note: The portfolio should emphasize practical application, measurable impact, and adaptability, particularly concerning the integration of AI. Candidates should be ready to articulate their design process and how they ensure quality and efficiency in content creation and management.

πŸ’΅ Compensation & Benefits

Salary Range: For a Learning Content Designer with 5-10 years of experience in Houston, Texas, the estimated salary range is typically between $75,000 and $100,000 USD per year. This estimate is based on industry benchmarks for specialized learning design roles in a major metropolitan area, considering the fixed-term nature of the contract which might influence compensation structure (e.g., higher hourly rate).

Benefits:

  • Health Insurance: Comprehensive medical, dental, and vision insurance plans.

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

  • Retirement Savings Plan: Access to a 401(k) plan with potential company matching contributions.

  • Professional Development: Opportunities for training, workshops, and potentially conference attendance to enhance skills in instructional design, AI tools, and learning technologies.

  • Flexible Work Arrangements: Hybrid work model allowing for a balance between in-office collaboration and remote work flexibility.

  • Life and Disability Insurance: Standard life insurance and short-term/long-term disability coverage.

  • Employee Assistance Program (EAP): Confidential support services for personal and work-related challenges.

Working Hours: The standard working hours for this full-time, fixed-term position are expected to be approximately 40 hours per week. The role requires flexibility to work across different time zones due to its global nature, with potential for occasional work outside standard business hours to accommodate international stakeholder meetings or project deadlines.

πŸ“ Enhancement Note: As this is a fixed-term position, some benefits might differ from permanent roles. The salary estimate is a benchmark; the actual offer will depend on the candidate's experience, specific skills, and the duration of the contract. The hybrid nature allows for some flexibility, but global collaboration demands adaptability in working hours.

🎯 Team & Company Context

🏒 Company Culture

Industry: Environmental, Social, and Governance (ESG) Consulting. ERM is a global leader in sustainability consulting, partnering with major organizations to address complex environmental, health, safety, risk, and social challenges. This industry context means the learning content will often be technical, regulatory, and focused on driving sustainable business practices.

Company Size: ERM is a large global organization with a significant employee base (likely over 10,000 employees globally, based on typical industry profiles for such consultancies). This size implies a structured L&D function, established processes, and a need for scalable, consistent learning solutions.

Founded: ERM was founded in 1971, bringing decades of experience in environmental consulting. This long history suggests a stable, established company with a deep understanding of its market and evolving client needs, which drives the need for continuous learning and adaptation within its workforce.

Team Structure:

  • Global Learning & Development (L&D) Team: The Learning Content Designer will likely be part of a global L&D team, possibly with regional hubs or specialized functions (e.g., content design, program management, technology).

  • Reporting Structure: The role will likely report to a Learning Manager, L&D Lead, or Head of Talent Development, who oversees global learning initiatives. The "coordination" aspects suggest interaction with various program leads.

  • Cross-functional Collaboration: This role requires extensive collaboration with Subject Matter Experts (SMEs) from various service lines (e.g., climate change, biodiversity, safety, risk management), as well as stakeholders in HR, IT, and regional business units.

Methodology:

  • Data-Driven Learning Design: ERM's focus on sustainability and performance suggests a data-driven approach to identifying learning needs, measuring impact, and iterating on learning solutions.

  • Agile & Iterative Development: The "transformation-led environments" and emphasis on speed indicate an agile or iterative approach to content development, prioritizing rapid delivery and continuous improvement.

  • AI-Augmented Workflows: The explicit mention of generative AI signifies a commitment to leveraging technology to enhance efficiency, scale, and innovation in learning content creation.

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

πŸ“ Enhancement Note: The company's focus on sustainability and ESG consulting implies that learning content will often be technical and mission-critical. The global, large-scale nature of ERM necessitates robust, scalable, and consistent learning operations, making this role pivotal in enabling employee capabilities.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior level within the Learning Operations or L&D function. It requires a blend of specialized technical skills (instructional design, content writing, AI application) and strong operational capabilities (project coordination, stakeholder management, process adherence). The "fixed-term" nature means it's likely project-specific, offering deep dives into particular transformation initiatives.

Reporting Structure: The Learning Content Designer typically reports to a Learning Manager or Head of L&D. They will work closely with a broader L&D team and collaborate extensively with internal Subject Matter Experts (SMEs) and business stakeholders who are the "clients" of the learning solutions.

Operations Impact: The operations impact of this role is significant. By creating effective learning content and ensuring its scalable delivery, the designer directly contributes to:

  • Employee Capability Building: Equipping ERM's global workforce with the necessary skills and knowledge to deliver high-quality client services and manage complex sustainability challenges.

  • Business Transformation: Supporting organizational change initiatives by ensuring employees understand new processes, tools, strategies, and compliance requirements.

  • Operational Efficiency: Streamlining learning delivery and content creation through effective design, technology utilization, and process optimization.

  • Consistency & Quality: Maintaining a high standard of learning experience and knowledge transfer across all regions and service lines.

Growth Opportunities:

  • Specialization in AI-driven Learning: Deepen expertise in leveraging AI for instructional design, becoming a go-to resource for advanced content creation techniques.

  • Project Leadership: For successful fixed-term employees, opportunities may arise to lead specific learning modules or smaller projects within larger transformation initiatives.

  • Broader L&D Roles: Potential to move into roles with more strategic oversight, such as Senior Instructional Designer, Learning Program Manager, or L&D Operations Specialist, either within ERM or other organizations.

  • Industry Expertise Development: Gain deep knowledge in the sustainability and ESG consulting domain through content creation, leading to potential career paths in specialized L&D for technical industries.

  • Cross-functional Exposure: Develop strong consulting and stakeholder management skills through extensive collaboration, opening doors to roles in change management or internal consulting.

πŸ“ Enhancement Note: While fixed-term, this role offers substantial growth potential by focusing on cutting-edge skills like AI in learning and by providing deep immersion into a critical global industry. Success here can lead to more strategic or specialized permanent roles within L&D or related fields.

🌐 Work Environment

Office Type: The role is based in Houston, Texas, and is described as "Hybrid." This typically means a blend of working from the ERM office and working remotely. The office environment is likely modern and professional, designed to facilitate collaboration.

Office Location(s): The primary location mentioned is Houston, Texas, United States. ERM has multiple offices globally, but this role is tied to the Houston hub for its hybrid component.

Workspace Context:

  • Collaborative Environment: The hybrid model and emphasis on stakeholder partnership suggest a workplace that encourages team interaction, brainstorming, and knowledge sharing, both in-person and virtually.

  • Tools & Technology: Employees will have access to standard office technology, robust IT support, and specialized learning development tools and platforms as required for their role. This includes Microsoft Office Suite, potentially LMS/LXP platforms, and AI tools.

  • Team Interaction: Opportunities for direct interaction with the L&D team, SMEs, and project stakeholders, fostering a dynamic and communicative work atmosphere.

Work Schedule: The work schedule is typically 40 hours per week, with the flexibility inherent in a hybrid model. However, due to the global nature of ERM's operations and the fixed-term project demands, employees may need to adjust their working hours to accommodate meetings and deadlines across different time zones. This requires strong self-management and proactive communication.

πŸ“ Enhancement Note: The hybrid nature is a key aspect, offering flexibility. However, the global scope and transformation focus mean candidates should be comfortable with dynamic scheduling and proactive communication to manage stakeholder interactions across time zones.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter or HR representative will likely conduct an initial screen to assess basic qualifications, experience, and alignment with the role's core requirements.

  • Hiring Manager Interview: A conversation with the hiring manager (e.g., L&D Manager) to delve deeper into your experience, instructional design philosophy, and specific skills, particularly regarding content creation, AI usage, and stakeholder management.

  • Skills Assessment/Portfolio Review: This is a critical stage. You will likely be asked to present your portfolio, showcasing specific projects that demonstrate your instructional design capabilities, content writing proficiency, and experience with relevant technologies. Be prepared to discuss your design process, the challenges you faced, and the impact of your work.

  • Case Study/Practical Exercise: A common element for L&D roles is a practical exercise or case study. This might involve analyzing a piece of technical information and outlining how you would turn it into a learning module, or critiquing existing learning content. Focus on your sense-making abilities, design thinking, and ability to apply learning principles.

  • Team/Stakeholder Interviews: You may have interviews with other members of the L&D team or key SMEs/stakeholders you would be collaborating with. This assesses your collaboration style, communication skills, and cultural fit.

  • Final Interview: Potentially with a senior leader in HR or the business unit to discuss strategic alignment and overall fit.

Portfolio Review Tips:

  • Curate Strategically: Select 2-3 of your strongest, most relevant projects that showcase your instructional design process, content creation skills (especially complex information distillation), and any experience with AI augmentation.

  • Quantify Impact: Wherever possible, highlight the measurable outcomes of your projects – e.g., improved performance metrics, reduced errors, increased knowledge scores, positive feedback.

  • Tell a Story: For each project, clearly articulate the problem, your approach (including design decisions and rationale), the solution you developed, and the results achieved. Emphasize your role and contributions.

  • Showcase AI Usage (if applicable): If you have examples of using AI, be ready to explain the tools, your prompts, how you evaluated/edited the output, and the benefits gained (e.g., speed, idea generation).

  • Address ERM's Context: Briefly tailor your presentation to ERM's industry (sustainability consulting) and mention how your skills can address their specific needs for complex knowledge transfer and transformation.

Challenge Preparation:

  • Sense-Making: Practice synthesizing complex, jargon-filled text into clear, concise learning objectives and content outlines. Be ready to demonstrate this skill with a hypothetical ERM-related topic.

  • AI Prompt Engineering: Familiarize yourself with effective prompt engineering techniques for generative AI tools to produce relevant and accurate first drafts for learning content.

  • Instructional Design Models: Be prepared to discuss your preferred instructional design models (e.g., ADDIE, SAM, Bloom's Taxonomy) and how you adapt them to different project needs and timelines.

  • Stakeholder Communication: Practice articulating the value of learning design and how you collaborate with SMEs to get the best input and buy-in.

πŸ“ Enhancement Note: The interview process emphasizes practical skills and the ability to demonstrate impact through a portfolio. Candidates should be prepared for a hands-on assessment and articulate their understanding of modern learning design, including AI integration and a consultative approach to SMEs.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Learning Content Authoring Tools: Proficiency with tools like Articulate Storyline, Adobe Captivate, or similar e-learning development software.

  • AI-Assisted Content Creation Tools: Experience with generative AI platforms (e.g., ChatGPT, Bard, Claude) for drafting, summarizing, idea generation, and content variation.

  • Microsoft Office Suite: Advanced proficiency in Word (for writing, formatting), Excel (for data tracking, analysis), PowerPoint (for presentations, storyboarding), and Teams (for collaboration, virtual meetings, and potentially content delivery).

  • Collaboration Platforms: Familiarity with platforms like SharePoint for document management and collaboration.

Analytics & Reporting:

  • Learning Management Systems (LMS): Deep understanding of LMS functionalities for content deployment, user management, and reporting. Cornerstone OnDemand is specifically mentioned as preferred.

  • Learning Experience Platforms (LXP): Familiarity with LXP concepts and platforms for personalized learning experiences.

  • Survey & Feedback Tools: Experience using tools to gather learner feedback and analyze program effectiveness (e.g., SurveyMonkey, Microsoft Forms).

CRM & Automation:

  • Workday: ERM uses Workday, so familiarity with how HRIS systems integrate with learning platforms or how HR data might inform learning needs is beneficial.

  • Single Sign-On (SSO): Understanding the implications of SSO for user access to learning platforms.

πŸ“ Enhancement Note: The tech stack reflects a modern L&D operation, combining traditional authoring tools with emerging AI capabilities and integrating with enterprise systems like Workday. Proficiency in Cornerstone OnDemand is a significant advantage.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Performance Enablement: A core value is about enabling employee performance and driving behavior change through effective learning solutions, directly impacting client success and business growth.

  • Collaboration & Partnership: Strong emphasis on working collaboratively with SMEs, stakeholders, and fellow L&D team members across global teams and time zones.

  • Efficiency & Scalability: A drive to create learning solutions that are not only effective but also efficient to develop and scalable to reach a global audience.

  • Innovation & Adaptability: Embracing new technologies like AI and adapting to fast-paced, transformation-led environments, demonstrating resourcefulness and a proactive approach.

  • Quality & Detail: A commitment to high-quality content, accuracy, and operational excellence, with meticulous attention to detail in design and delivery.

Collaboration Style:

  • Consultative Approach: Working closely with SMEs and stakeholders, acting as a learning consultant to understand needs and co-create solutions.

  • Cross-functional Integration: Seamless integration with various business units, IT, and HRIS teams to ensure learning solutions are aligned with broader organizational goals and technical infrastructure.

  • Feedback-Driven Improvement: An open culture for providing and receiving feedback on learning content and processes, fostering a continuous improvement mindset.

  • Knowledge Sharing: Encouraging the sharing of best practices, AI insights, and learning design techniques within the L&D team and across the organization.

πŸ“ Enhancement Note: The culture likely values pragmatism, data-informed decision-making, and a proactive, solutions-oriented mindset, fitting for a consultancy environment focused on tangible business outcomes.

⚑ Challenges & Growth Opportunities

Challenges:

  • Synthesizing Highly Technical Information: ERM operates in specialized fields. A key challenge will be rapidly understanding and translating complex technical, scientific, or regulatory information into digestible learning content.

  • Balancing Speed and Quality with AI: Effectively leveraging AI for speed and scale while ensuring human oversight maintains accuracy, relevance, ethical use, and pedagogical soundness.

  • Global Consistency Amidst Diversity: Designing learning that is relevant and effective across diverse global audiences, service lines, and cultural contexts.

  • Fixed-Term Project Constraints: Working within the defined scope and timeline of a fixed-term contract, requiring efficient project management and prioritization.

  • Adapting to Transformation: Thriving in a fast-paced, evolving environment driven by organizational transformation, requiring flexibility and a proactive approach to change.

Learning & Development Opportunities:

  • AI in L&D Specialization: Becoming an expert in applying generative AI for instructional design, content creation, and learning analytics.

  • Deep Industry Knowledge: Gaining in-depth understanding of sustainability, ESG, and environmental consulting domains through content development.

  • Advanced Instructional Design Techniques: Exploring and applying advanced learning design principles, learning experience design, and performance consulting methodologies.

  • Global Project Management: Developing skills in managing learning projects with international stakeholders and diverse logistical considerations.

  • Emerging L&D Technologies: Exposure to and potential training on new learning technologies and platforms.

πŸ“ Enhancement Note: The challenges are inherent to a role focused on rapid transformation and complex knowledge transfer. The growth opportunities are significant, particularly in the high-demand area of AI in learning and specialized industry knowledge.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe a time you had to synthesize highly complex technical information into a simple, actionable learning module. What was your process, and what was the outcome?" (Focus on sense-making, instructional design, and impact.)

  • "How do you envision using generative AI in your learning content design process? What are the potential benefits and risks, and how would you mitigate those risks?" (Demonstrate understanding of AI's role, ethical considerations, and human oversight.)

  • "Walk me through your process for partnering with subject matter experts to develop learning content. How do you ensure you extract the most critical information and gain their buy-in?" (Highlight collaboration, consulting, and SME management skills.)

Company & Culture Questions:

  • "What do you know about ERM and our work in sustainability consulting?" (Research ERM's mission, values, services, and recent projects.)

  • "This role is fixed-term and part of a transformation initiative. How do you approach working in fast-paced, potentially ambiguous environments?" (Emphasize adaptability, proactivity, and a results-oriented mindset.)

  • "How do you ensure inclusion and accessibility in the learning content you design?" (Showcase awareness of DEI principles in learning design.)

Portfolio Presentation Strategy:

  • Structure: For each project, present the "Situation/Problem," "Task/Objective," "Action/Design Process," and "Result/Impact."

  • Highlight AI: If applicable, dedicate a specific slide or section to how AI was used, its contribution, and your critical evaluation.

  • Focus on Process: Clearly articulate your instructional design methodology and how you adapt it.

  • Visuals: Use screenshots, storyboards, or brief demos to illustrate your content.

  • Conciseness: Be mindful of time; aim for 5-7 minutes per project, leaving ample time for discussion.

  • Engagement: Be prepared to answer detailed questions about your design choices, challenges, and the metrics you used to measure success.

πŸ“ Enhancement Note: Be ready to demonstrate practical application of instructional design principles, a sophisticated understanding of AI's role in content creation, and a consultative approach to stakeholder engagement. Researching ERM's specific industry and recent initiatives will be crucial.

πŸ“Œ Application Steps

To apply for this operations position:

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

  • Tailor your Resume: Ensure your resume clearly highlights your experience in instructional design, content writing, AI tool application, stakeholder management, and project coordination. Use keywords from the job description, such as "learning content design," "generative AI," "LMS," and "sustainability consulting." Quantify your achievements whenever possible.

  • Prepare Your Portfolio: Curate 2-3 strong examples of your work that showcase your instructional design process, content creation skills, and any experience with AI-augmented content. Be ready to present these clearly and concisely, focusing on the impact and your specific contributions.

  • Research ERM: Thoroughly research ERM's mission, services, industry, and recent projects. Understand their focus on sustainability and ESG consulting, as this context will be vital for tailoring your responses and understanding the nature of the learning content.

  • Practice Your Interview Responses: Prepare to answer strategy, behavioral, and situational questions, particularly those related to synthesizing complex information, using AI, managing SMEs, and working in a global, hybrid environment. Practice articulating your portfolio projects.

⚠️ 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.

Application Requirements

Candidates must possess strong instructional design and content writing skills, with experience in distilling complex information and using generative AI tools. Proficiency in learning management systems and the ability to work collaboratively in a fast-moving, global environment are essential.