Oliver Wyman - AI Product Strategy Analyst

📍 Job Overview

Job Title: AI Product Strategy Analyst

Company: Oliver Wyman (a Marsh McLennan business)

Location: Mexico City, Mexico

Job Type: Full-Time

Category: Product Strategy & Operations / AI Transformation

Date Posted: June 02, 2026

Experience Level: 2-5 Years

Remote Status: Hybrid (2 days in office per week)

🚀 Role Summary

• Drive the execution of internal AI product strategy for the Quotient Inside program, focusing on the integration of AI into consultant workflows.

• Develop and refine executive-level presentations and materials to communicate AI initiative progress, strategic direction, and investment cases.

• Translate high-level strategic objectives into actionable product requirements for engineering and build teams.

• Coordinate timelines, dependencies, and cross-functional inputs across Product, Design, Engineering, Research, and Enablement teams to ensure project momentum.

• Synthesize research findings and stakeholder inputs into structured workplans, summaries, and key decision-making materials for leadership forums.

📝 Enhancement Note: This role is positioned within a dedicated internal AI transformation program (Quotient Inside) at Oliver Wyman, a prominent management consulting firm. The focus is on operationalizing AI strategy, bridging the gap between strategic vision and tangible product development, with a strong emphasis on execution, coordination, and communication. The "Product Strategy Analyst" title, combined with the responsibilities, indicates a role that is less about core product management and more about operationalizing strategy within a consulting context, leveraging AI for internal efficiency and impact.

📈 Primary Responsibilities

• Construct and meticulously refine executive-ready presentations and decks that clearly articulate product strategy, AI initiative roadmaps, and compelling investment cases.

• Develop and meticulously maintain structured workplans for various strategic initiatives, ensuring clear timelines, milestones, and ownership.

• Translate abstract strategic direction and user needs into clear, concise, and high-level product requirements for dedicated build and engineering teams.

• Proactively coordinate timelines, identify and manage dependencies, and consolidate stakeholder inputs from Product, Design, Engineering, Research, and Enablement functions.

• Prepare comprehensive materials, including pre-reads and agendas, for leadership forums, decision-making meetings, and steering committee reviews.

• Support the preparation for critical interviews, discovery sessions, and exploratory workshops led by Research and Design teams, ensuring all necessary background information and participant lists are organized.

• Develop detailed interview briefs, discussion guides, participant lists, and essential background materials to facilitate effective user research and discovery activities.

• Capture structured, actionable notes and key themes from all interviews and working sessions, distilling complex information into digestible summaries.

• Synthesize initial research findings and stakeholder feedback into concise summaries that directly inform product direction, strategy refinement, and leadership reporting.

• Integrate research findings and market insights into structured workplans, initiative documentation, and ongoing product strategy updates.

📝 Enhancement Note: The responsibilities heavily emphasize documentation, coordination, and communication, typical of a "Product Operations" or "Strategy Execution" role within a fast-paced consulting environment. The focus on "executive-ready decks," "structured workplans," and "translating strategic direction into requirements" highlights the analytical and organizational demands of the position. The inclusion of supporting research and design teams points to a role that facilitates the product development lifecycle rather than directly managing the product roadmap.

🎓 Skills & Qualifications

Education: While specific degree requirements are not explicitly stated, a Bachelor's degree in Business, Strategy, Economics, Computer Science, Information Systems, or a related field is typically expected for roles involving strategy and product analysis in a consulting firm.

Experience: 2-5 years of professional experience in roles such as consulting, management consulting, strategy, product operations, program management, or a closely related function.

Required Skills:

• Proven ability to build and deliver high-quality, executive-ready presentations and materials using tools like PowerPoint.

• Demonstrated experience in developing and maintaining structured workplans and project timelines for complex initiatives.

• Proficiency in coordinating cross-functional teams and managing dependencies in a matrixed or complex organizational structure.

• Strong English language proficiency (spoken and written) is essential for communication and documentation.

• Excellent synthesis skills, with the ability to organize inputs from multiple sources into coherent workplans, summaries, and strategic materials.

• Strong written, verbal, and visual communication skills, with the ability to articulate complex concepts clearly and concisely.

• Proactive, ownership-driven mindset with a strong commitment to follow-through and high standards for quality and accuracy.

• Adaptability and comfort working in a dynamic, fast-paced environment with evolving priorities.

• Ability to navigate and operate effectively within complex, matrixed professional services organizations.

• Strong judgment and ability to escalate issues appropriately to leadership. Preferred Skills:

• Exposure to digital transformation, product management, or AI-enabled initiatives.

• Curiosity and foundational understanding of AI/GenAI tools and techniques, including prompt engineering, workflow integration, or agent-based solutions.

• Experience operating in professional services or consulting environments.

• Familiarity with agile ways of working and related tools (e.g., Aha, Azure DevOps/ADO) is a plus.

• Experience translating user feedback and requests into clearly defined user pain points and needs.

📝 Enhancement Note: The emphasis on "executive-ready decks," "structured workplans," and "cross-functional coordination" strongly suggests a need for exceptional organizational and communication skills. The "preferred" mention of AI/GenAI tools and agile methodologies indicates that while not strictly mandatory, candidates with this background will have a significant advantage. The requirement for English fluency is critical, as is the ability to operate in a complex, matrixed environment typical of large consulting firms.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of executive-level presentations and strategic documents that demonstrate clarity, impact, and a strong narrative.

• Include case studies or project examples that highlight your ability to develop structured workplans and manage cross-functional dependencies.

• Provide evidence of translating strategic objectives into actionable requirements or project briefs for technical or build teams.

• Demonstrate experience in synthesizing complex information from various sources (e.g., research, stakeholder input) into actionable insights or strategic summaries. Process Documentation:

• Examples of creating clear, concise process documentation for workflow coordination or project management.

• Documentation illustrating how you have captured and synthesized information from interviews or workshops to inform strategic decisions.

• Evidence of contributing to or managing project documentation within agile frameworks or using project management tools.

📝 Enhancement Note: While a formal "portfolio" might not be explicitly requested in the application, candidates should be prepared to discuss and potentially present examples of their work that align with these requirements during the interview process. This includes a strong emphasis on structured documentation, clear communication artifacts (presentations, workplans), and the ability to synthesize information effectively.

💵 Compensation & Benefits

Salary Range: For an AI Product Strategy Analyst role with 2-5 years of experience in Mexico City, based on industry benchmarks for consulting and technology roles, the estimated annual salary range is approximately MXN $450,000 - $750,000. This estimate considers the cost of living in Mexico City, the specific expertise required (strategy, AI exposure), and the reputation of Oliver Wyman/Marsh McLennan.

Benefits:

• Comprehensive health insurance package, including medical, dental, and vision coverage.

• Retirement savings plan (e.g., pension plan, 401k equivalent in Mexico).

• Paid time off, including vacation days, sick leave, and public holidays.

• Professional development opportunities, including training, workshops, and potential for certifications related to AI and product strategy.

• Hybrid work model offering flexibility with 2 days per week in the office.

• Potential for performance-based bonuses or incentives.

• Access to firm-wide resources, networks, and employee assistance programs.

Working Hours: The role is designated as Full-Time, typically implying around 40 hours per week. While a hybrid model offers some flexibility, a commitment to meeting project deadlines and participating in team activities will be expected. Specific working hours may vary based on project needs and team collaboration.

📝 Enhancement Note: Salary estimates are based on general market data for similar roles in Mexico City, considering the company's industry and the experience level. Specific compensation packages will be determined by the candidate's qualifications and experience. Benefits are typical for a large, multinational professional services firm like Marsh McLennan.

🎯 Team & Company Context

🏢 Company Culture

Industry: Management Consulting / Professional Services / Financial Services. Oliver Wyman operates at the intersection of deep industry expertise and strategic advisory, with a significant focus on digital transformation and emerging technologies like AI.

Company Size: Marsh McLennan is a large global corporation (over 95,000 employees worldwide), with Oliver Wyman being a significant consulting arm within it. This implies a structured, professional environment with access to extensive resources and global networks.

Founded: Oliver Wyman has a long history dating back to 1907, with Marsh & McLennan Companies founded even earlier in 1905. This legacy suggests a culture of established practices, deep expertise, and a long-term strategic outlook.

Team Structure:

• The role is part of the "Quotient Inside" program, which is Oliver Wyman's firmwide internal AI transformation initiative.

• This team likely comprises individuals with expertise in AI, product management, strategy, engineering, and enablement.

• Collaboration will be extensive, involving Product, Design, Engineering, Research, and Enablement teams, requiring strong cross-functional alignment.

• Reporting structure likely involves a Product Lead or Program Manager within the Quotient Inside team. Methodology:

• Emphasis on data-driven decision-making and strategic analysis.

• Adoption of agile methodologies for product development and project execution.

• Focus on understanding user needs and translating them into tangible product features and workflows.

• Structured approach to problem-solving, requirement gathering, and execution planning.

• Integration of AI and emerging technologies into client delivery and internal operations.

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

📝 Enhancement Note: The company context highlights a blend of established consulting rigor with a forward-looking approach to AI adoption. The internal AI program is a strategic imperative, suggesting that this role is critical for driving internal innovation and efficiency. The hybrid work model reflects a modern approach to workplace flexibility within a large, traditional professional services firm.

📈 Career & Growth Analysis

Operations Career Level: This is an Analyst-level position, typically considered entry to mid-level within a specialized program like Quotient Inside. It's an execution-focused role designed for individuals who excel at structured coordination, material preparation, and translating strategic direction into actionable plans.

Reporting Structure: The Analyst will report to a senior member of the Quotient Inside Product Strategy team, likely a Product Manager or Lead, and will work closely with various functional teams across the firm.

Operations Impact: The role directly contributes to the firm's internal operational efficiency and effectiveness by facilitating the adoption and integration of AI tools and workflows. This impacts consultant productivity, client service quality, and the firm's ability to leverage cutting-edge technology internally, which indirectly supports its external client advisory capabilities.

Growth Opportunities:

• Skill Development: Deepen expertise in AI/GenAI product strategy, prompt engineering, and agile product development methodologies. Gain exposure to various AI tools and their application in a professional services context.

• Career Progression: Potential to advance to Product Manager, Senior Analyst, or similar roles within the Quotient Inside program or other product/strategy teams within Oliver Wyman.

• Cross-Functional Exposure: Develop strong relationships and understanding across Product, Design, Engineering, Research, and Enablement teams, providing a broad perspective of the firm's operations.

• Leadership Potential: Opportunities to take ownership of specific workstreams or initiatives, demonstrating leadership capabilities in execution and coordination.

📝 Enhancement Note: This role serves as a strong foundation for a career in product operations, strategy execution, or even AI product management within the consulting or technology sectors. The emphasis on execution and coordination provides valuable experience in managing complex projects and collaborating with diverse teams.

🌐 Work Environment

Office Type: Hybrid work model. This involves a mix of remote work and in-office presence. The office environment at Oliver Wyman is typically professional, collaborative, and designed to facilitate client interactions and internal team meetings.

Office Location(s): Mexico City, Mexico (specifically mentioned as "Mexico City - Paseo"). This location is expected to be a modern office space equipped with the necessary infrastructure for professional services.

Workspace Context:

• Collaborative Environment: The requirement for 2 days in the office per week suggests a deliberate effort to foster in-person collaboration, team building, and spontaneous idea exchange among colleagues.

• Tools and Technology: Access to standard office technology, high-speed internet, and potentially specialized software or platforms used by Oliver Wyman for project management, communication, and AI tool integration.

• Team Interaction: Opportunities for direct interaction with colleagues on the Quotient Inside team and other cross-functional teams, facilitating knowledge sharing and problem-solving.

Work Schedule: Full-time, hybrid. While specific daily hours are not detailed, candidates should expect a professional work schedule with a requirement to be present in the office for designated days each week. Flexibility may be offered, but project demands and team collaboration needs will dictate the schedule.

📝 Enhancement Note: The hybrid nature of the role is a key aspect of the work environment, balancing personal flexibility with the benefits of in-person collaboration. Candidates should be comfortable working in a professional office setting and utilizing the available resources to support their responsibilities.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and application to assess alignment with the core requirements, particularly experience in strategy, presentation building, and cross-functional coordination.

• First Round Interview: Likely a behavioral and skills-based interview with a hiring manager or senior team member. Focus will be on your experience with structured workplans, executive communication, and ability to translate strategy into requirements.

• Second Round Interview: May involve a case study or a presentation exercise. This could focus on a hypothetical AI product strategy scenario or require you to present a sample of your work (e.g., a mock executive deck, a workplan outline). Expect questions on your understanding of AI/GenAI.

• Final Round Interview: Potentially with senior leadership, focusing on strategic thinking, cultural fit, and long-term potential within the Quotient Inside program.

Portfolio Review Tips:

• Structure and Clarity: Organize your portfolio to clearly demonstrate your ability to create structured workplans, executive-level presentations, and synthesize complex information. Use clear headings and concise descriptions for each project.

• Impact and Results: For each project, highlight the objective, your specific role and contributions, the challenges faced, and the outcomes or impact achieved. Quantify results where possible.

• AI/GenAI Relevance: If you have experience with AI/GenAI tools, prompt engineering, or similar technologies, showcase these projects prominently. Explain your approach and the value generated.

• Process Documentation: Include samples of process documentation, requirement documents, or workshop summaries that illustrate your structured approach to execution.

• Conciseness: Be prepared to walk through your portfolio efficiently, focusing on the most relevant examples for this specific role.

Challenge Preparation:

• Strategy Articulation: Practice articulating product strategy, identifying key stakeholders, and outlining workplan dependencies.

• Presentation Skills: Rehearse presenting executive-level materials, focusing on clear messaging, logical flow, and engaging delivery.

• Problem-Solving: Be ready to discuss how you would approach translating ambiguous strategic goals into concrete product requirements, especially in the context of AI.

• AI/GenAI Familiarity: Brush up on current trends in AI and Generative AI, and be prepared to discuss how they can be applied to internal business processes in a consulting firm.

📝 Enhancement Note: Candidates should prepare to demonstrate their strategic thinking, execution capabilities, and communication prowess. The interview process will likely assess not only skills but also the candidate's ability to integrate into a fast-paced, results-oriented consulting environment and their aptitude for working with emerging AI technologies.

🛠 Tools & Technology Stack

Primary Tools:

• Presentation Software: Advanced proficiency in Microsoft PowerPoint or Google Slides for building executive-ready decks.

• Project Management: Experience with project management tools such as Jira, Asana, Trello, or potentially specialized tools like Aha! (preferred) and Azure DevOps (ADO) for workplan development and tracking.

• Collaboration & Communication: Proficiency in Microsoft Teams, Slack, or similar platforms for team communication and coordination.

• Documentation Tools: Familiarity with tools like Confluence, Google Workspace (Docs, Sheets), or Microsoft Office Suite for creating and managing documentation.

Analytics & Reporting:

• While not a primary analytical role, familiarity with data visualization tools (e.g., Tableau, Power BI) for understanding and presenting data-driven insights from research or project progress.

• Basic proficiency in spreadsheet software (Excel, Google Sheets) for data manipulation and reporting. CRM & Automation:

• Understanding of how CRM systems (e.g., Salesforce) and automation tools integrate into business processes, even if not directly managing them.

• Exposure to workflow automation concepts relevant to AI-enabled processes.

📝 Enhancement Note: The emphasis here is on tools that support structured planning, communication, and execution. Tools like Aha! and ADO are specifically mentioned as preferred, indicating a preference for agile product management and development platforms. Proficiency in presentation software is paramount for this role.

👥 Team Culture & Values

Operations Values:

• Excellence & Quality: A strong commitment to delivering high-quality work, meticulous attention to detail, and maintaining rigorous standards in all outputs.

• Collaboration: A proactive and team-oriented approach, valuing cross-functional partnerships and effective communication to achieve shared goals.

• Innovation & Adaptability: Embracing new technologies like AI, being curious about their potential, and adapting to evolving priorities and dynamic work environments.

• Ownership & Execution: Demonstrating a strong sense of responsibility, driving initiatives to completion, and focusing on reliable execution.

• Data-Driven Approach: Valuing insights derived from research and data to inform strategy and decision-making.

Collaboration Style:

• Cross-Functional Integration: Actively engaging with and supporting Product, Design, Engineering, Research, and Enablement teams, ensuring seamless information flow and alignment.

• Structured Communication: Prioritizing clear, concise, and timely communication, particularly in written formats and executive presentations.

• Proactive Support: Offering assistance and anticipating needs of other teams to facilitate smooth project progression.

• Feedback Exchange: Open to providing and receiving constructive feedback to continuously improve processes and outcomes.

📝 Enhancement Note: The culture is likely to be professional, driven, and focused on impact. Success in this role will require not only strong individual contribution but also the ability to collaborate effectively across diverse teams and functions within a large consulting firm.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Ambiguity: Effectively converting high-level, potentially ambiguous strategic objectives into clear, actionable product requirements for technical teams.

• Cross-Functional Alignment: Managing dependencies and ensuring seamless collaboration among multiple departments with potentially competing priorities.

• Pace of Change: Adapting to the rapid evolution of AI technologies and the internal program's strategic direction.

• Executive Communication: Consistently crafting compelling and accurate executive-level materials that resonate with senior leadership.

Learning & Development Opportunities:

• AI/GenAI Specialization: Gaining practical experience in applying AI and Generative AI technologies to internal business processes, including prompt engineering and workflow integration.

• Product Strategy Acumen: Developing a deeper understanding of product strategy development, market analysis, and investment case articulation within a consulting context.

• Agile Methodologies: Enhancing skills in agile product development and project management frameworks.

• Consulting Best Practices: Learning and applying the rigorous analytical, communication, and execution standards of a top-tier management consulting firm.

📝 Enhancement Note: The challenges presented are typical for a role at the intersection of strategy, product, and technology within a dynamic organization. The growth opportunities are significant, offering a chance to become proficient in a highly in-demand field.

💡 Interview Preparation

Strategy Questions:

• "Imagine we have a strategic goal to increase consultant productivity by 15% using AI. How would you begin to translate this into concrete product requirements for an internal tool?" (Focus on a structured approach, identifying stakeholders, and key questions to ask.)

• "Describe a time you had to coordinate inputs from multiple teams (e.g., Engineering, Design, Research) for a project. What were the key challenges, and how did you overcome them?" (Highlight cross-functional collaboration, dependency management, and communication strategies.)

• "How do you ensure executive-level materials are both informative and persuasive? Walk us through your process for building an executive deck." (Focus on narrative structure, data visualization, clarity, and tailoring content to the audience.) Company & Culture Questions:

• "What interests you about Oliver Wyman's Quotient Inside program and the application of AI within a consulting firm?" (Demonstrate research into the company and program, and articulate your motivation.)

• "Oliver Wyman operates in a matrixed environment. How do you approach building relationships and gaining buy-in from stakeholders across different departments?" (Showcase collaboration skills and understanding of organizational dynamics.)

• "How do you prioritize your work when faced with multiple, competing demands and evolving priorities?" (Highlight your organizational skills, time management, and ability to adapt.) Portfolio Presentation Strategy:

• The "Story" Approach: Frame your portfolio projects as mini-case studies. Start with the objective, detail your contribution and process, and conclude with the outcome or impact.

• Quantify Impact: Wherever possible, use numbers to demonstrate the value of your work (e.g., "improved efficiency by X%", "reduced time spent on Y task by Z minutes").

• Focus on Relevance: Select examples that directly showcase your skills in presentation building, workplan development, cross-functional coordination, and translating strategy into requirements.

• AI/GenAI Examples: If you have them, prominently feature any projects involving AI, GenAI, or digital transformation, explaining your specific role and the technology's application.

• Concise & Clear: Be prepared to present your portfolio within a set timeframe, focusing on the most critical aspects of each project.

📝 Enhancement Note: Interview preparation should center on demonstrating structured thinking, strong communication capabilities, practical execution experience, and a genuine interest in AI and its application within a professional services context. Be ready to discuss specific examples from your past roles.

📌 Application Steps

To apply for this AI Product Strategy Analyst position:

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

• Tailor your Resume: Highlight experience in strategy, executive presentation development, cross-functional coordination, and any exposure to AI/GenAI tools or methodologies. Use keywords from the job description.

• Prepare Your Portfolio: Have ready examples of executive presentations, structured workplans, or project documentation that showcase your capabilities. Be prepared to discuss these in detail.

• Research Oliver Wyman & Quotient Inside: Understand the company's consulting areas, its approach to AI, and the goals of the Quotient Inside program. Familiarize yourself with their recent publications or initiatives.

• Practice Interview Questions: Rehearse answers to common behavioral questions and prepare for potential case study scenarios related to product strategy and AI implementation.

⚠️ 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.