Oliver Wyman - Product Strategy Analyst - London

📍 Job Overview

Job Title: Product Strategy Analyst

Company: Oliver Wyman (a Marsh McLennan business)

Location: London, United Kingdom

Job Type: Full-Time

Category: Product Strategy & Operations

Date Posted: June 15, 2026

Experience Level: 2-5 Years

Remote Status: Hybrid (3 days in office)

🚀 Role Summary

• This role is a critical execution function within the Quotient Inside Product Strategy team, focused on driving product initiatives from conception to actionable plans.

• The Analyst will be instrumental in translating high-level strategic direction into tangible deliverables, including executive-ready presentations and detailed product requirements.

• A key aspect of this role involves rigorous coordination across multiple departments such as Product, Design, Engineering, Research, and Enablement to ensure seamless execution.

• The position requires a strong aptitude for synthesizing information from diverse sources, including user feedback and research findings, to shape product direction and support strategic decision-making.

• Exposure to and curiosity about AI/GenAI tools and techniques, including prompt engineering and workflow integration, is highly valued for this forward-thinking product strategy position.

📝 Enhancement Note: Given the title "Product Strategy Analyst" and the responsibilities outlined, this role bridges strategic planning and operational execution within a product context. It emphasizes structured output, cross-functional alignment, and a focus on AI-driven product development, aligning it closely with Product Operations and GTM Strategy support functions. The hybrid nature and London location suggest a professional services environment with a strong emphasis on in-person collaboration for strategic planning.

📈 Primary Responsibilities

• Executive Material Development: Construct and refine compelling, executive-ready presentations and decks that clearly articulate product strategy, AI initiatives, and robust investment cases, ensuring buy-in from senior leadership.

• Strategic Initiative Planning: Develop and meticulously maintain structured workplans for defined strategy initiatives, tracking key milestones, dependencies, and resource allocation to ensure timely progress.

• Product Requirements Definition: Translate overarching strategic objectives and user insights into clear, high-level product requirements that guide engineering and design teams in their development efforts.

• Cross-Functional Coordination: Actively coordinate timelines, dependencies, and input from various teams including Product, Design, Engineering, Research, and Enablement, fostering a collaborative and efficient workflow.

• Leadership Forum Support: Prepare all necessary materials, including pre-reads and discussion points, for leadership forums and critical decision-making meetings to ensure productive and informed discussions.

• Research & Discovery Support: Assist in the preparation of materials for interviews, discovery sessions, and exploratory workshops led by research and design teams, ensuring all logistical and content needs are met.

• Interview & Workshop Facilitation Support: Develop interview briefs, discussion guides, participant lists, and essential background materials to support qualitative research activities.

• Information Synthesis: Capture structured notes and key themes from interviews and working sessions, synthesizing initial findings into concise summaries that directly inform product strategy and leadership communications.

• Integration of Findings: Seamlessly integrate research findings and synthesized information into structured workplans and initiative documentation, ensuring a data-informed approach to product development.

• Process Documentation: Document key processes, workflows, and decisions related to product strategy development and execution for future reference and continuous improvement.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on execution, documentation, and communication within a strategic product development framework. The role requires the ability to manage multiple workstreams and stakeholders, typical of a Product Operations or Strategy Analyst in a fast-paced, consulting-adjacent environment. The focus on AI/GenAI suggests a forward-looking product roadmap.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Business, Strategy, Product Management, Computer Science, or a related field is typically expected for a role of this nature. A Master's degree or relevant certifications may be advantageous.

Experience: 2–5 years of progressive experience in consulting, corporate strategy, product operations, program management, or similar analytical roles within technology or professional services environments.

Required Skills:

• Executive Presentation Building: Demonstrated proficiency in creating clear, concise, and persuasive executive-level presentations and materials using tools like PowerPoint or Google Slides.

• Structured Workplan Development: Proven ability to develop, manage, and maintain detailed workplans for complex, cross-functional initiatives, with a focus on timelines, dependencies, and deliverables.

• Cross-functional Initiative Coordination: Experience in orchestrating efforts across diverse teams (e.g., Product, Engineering, Design, Research, Marketing, Sales) within matrixed or complex organizational structures.

• High-Level Product Requirements: Skill in translating strategic vision and user feedback into coherent, high-level product requirements that are actionable for development teams.

• Synthesis and Analytical Skills: Strong ability to synthesize information from various sources, including user interviews, market research, and internal data, into actionable insights and clear summaries.

• Communication Proficiency: Excellent written, verbal, and visual communication skills in fluent English, with the ability to distill complex or technical topics into clear, concise messages for different audiences.

• Proactive Ownership & Follow-Through: A demonstrated track record of taking ownership of tasks and driving them to completion with a strong sense of accountability and reliability.

• Detail Orientation & Quality Focus: Meticulous attention to detail with a high standard for the quality and accuracy of all work products.

• Adaptability: Ability to thrive in a fast-paced environment with evolving priorities and ambiguity.

• Comfort with Digital Tools: Willingness and ability to learn and effectively use new digital tools, including AI-enabled applications and project management software.

Preferred Skills:

• AI/GenAI Exposure: Prior exposure to or strong curiosity about AI/GenAI tools and techniques, including prompt engineering, AI workflow integration, or agent-based solutions.

• Agile Methodologies: Experience operating within agile frameworks (e.g., Scrum, Kanban) and familiarity with agile project management tools.

• Product Management Tools: Familiarity with product management platforms such as Aha! or Azure DevOps (ADO).

• User Feedback Translation: Experience in translating qualitative user feedback and requests into well-defined user pain points and needs statements.

• Professional Services Environment: Previous experience working within a matrixed, professional services or consulting environment.

📝 Enhancement Note: The "Required Skills" section has been expanded to reflect the implicit needs of the described responsibilities, focusing on the core competencies of a Product Strategy Analyst. Preferred skills are drawn directly from the description and highlight the company's interest in AI and agile practices. The education requirement is an inference based on industry standards for this level of role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Executive Presentation Examples: Showcase 2-3 examples of polished, executive-ready decks that you have personally developed, demonstrating your ability to convey complex strategies, AI initiatives, or investment cases clearly and persuasively.

• Workplan/Project Management Samples: Include samples of structured workplans or project timelines you have created for cross-functional initiatives, highlighting your organizational skills, dependency mapping, and progress tracking capabilities.

• Product Requirements Documentation: Provide a de-identified example of high-level product requirements or user stories you have documented, illustrating your ability to translate strategic needs into actionable guidance for development teams.

• Synthesis & Analysis Artifacts: Present examples of how you've synthesized information from interviews, research, or data into clear summaries, reports, or strategy documents that informed decision-making.

• AI/GenAI Project Examples (if applicable): If you have experience with AI/GenAI tools, include relevant project highlights that demonstrate your understanding of prompt engineering, workflow integration, or similar applications.

Process Documentation:

• Workflow Design & Optimization: Be prepared to discuss how you approach documenting and optimizing workflows for strategic initiatives, ensuring efficiency and clarity across teams.

• Implementation & Automation Methods: Demonstrate awareness of how to integrate new processes and leverage digital tools or automation to support strategy execution and product development cycles.

• Measurement & Performance Analysis: Articulate how you would track the progress and impact of strategy initiatives, even at a high level, and how you would integrate findings into ongoing planning.

📝 Enhancement Note: This section is tailored to a Product Strategy Analyst role, emphasizing the need for tangible proof of strategic communication, planning, and execution capabilities. The focus is on demonstrating structured thinking, cross-functional collaboration, and the ability to translate strategy into actionable plans, with a specific nod to AI/GenAI competencies.

💵 Compensation & Benefits

Salary Range: For a Product Strategy Analyst with 2-5 years of experience in London, the estimated annual salary range is typically between £50,000 and £75,000. This range is based on industry benchmarks for similar roles in London's competitive professional services and tech sectors, considering the employer's profile as a major global consultancy.

Benefits:

• Hybrid Work Model: Flexibility to work 3 days per week from the London office, balancing in-office collaboration with remote work.

• Comprehensive Health Coverage: Access to robust health insurance plans, likely including medical, dental, and vision coverage.

• Retirement Savings Plan: Participation in a company-sponsored pension scheme or retirement savings plan, with potential employer matching contributions.

• Professional Development: Opportunities for continuous learning, including access to training programs, workshops, conferences, and potential support for relevant certifications.

• Performance-Based Bonuses: Potential for discretionary bonuses based on individual and company performance, reflecting the results-driven nature of the role.

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

• Paid Time Off: Generous annual leave allowance, plus public holidays and potential for sick leave.

• Commuter Benefits: Potential for assistance with commuting costs or facilities for London-based employees.

Working Hours: The role is designated as Full-Time. While standard working hours in London professional services often fall within the 9:00 AM to 5:30 PM range, the hybrid model suggests a degree of flexibility. However, given the execution-heavy nature and client-facing potential, flexibility to work beyond standard hours may be occasionally required to meet deadlines or support critical initiatives. The stated working hours are approximately 40 hours per week.

📝 Enhancement Note: The salary range is an estimation based on typical compensation for similar roles in London, UK, considering the experience level and the industry. Benefits are inferred from standard offerings at large, reputable professional services firms like Marsh McLennan. The working hours are based on the typical full-time designation, with an acknowledgement of potential flexibility required in such roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Oliver Wyman operates within the Management Consulting and Professional Services sectors, specifically advising clients on strategy, operations, risk management, and digital transformation. Marsh McLennan, its parent company, is a global leader in risk, reinsurance, capital, people, investments, and consulting. This context implies a culture of intellectual rigor, client-centricity, and a focus on delivering high-impact solutions.

Company Size: Marsh McLennan is a large, global organization with over 95,000 employees worldwide and annual revenues exceeding $27 billion. As a business unit, Oliver Wyman itself is a significant global consultancy. This size indicates a structured environment with established processes, diverse career paths, and a wide range of resources, but also potentially a more formal corporate culture.

Founded: Oliver Wyman traces its roots back to 1939. Marsh & McLennan Companies was founded in 1905. This long history signifies stability, deep expertise, and a well-established reputation in the industry, which influences the company's approach to problem-solving and client engagement.

Team Structure:

• Quotient Inside Product Strategy Team: This team is likely specialized within Oliver Wyman, focusing on the internal product strategy for Quotient, an AI-powered platform or suite of tools. The team would comprise individuals with expertise in product management, strategy, AI/GenAI, and operations.

• Reporting Structure: The Product Strategy Analyst will likely report to a Product Manager, Head of Product Strategy, or a senior member of the Quotient team. The reporting structure will be hierarchical but with strong emphasis on cross-functional collaboration rather than rigid silos.

• Cross-functional Collaboration: This role is inherently cross-functional, requiring close collaboration with Product Managers, Engineering Leads, Design teams, Research departments, and potentially Business Development or Sales Enablement teams. Collaboration is expected to be proactive and driven by project needs.

Methodology:

• Data-Driven Decision Making: The company culture emphasizes using data and rigorous analysis to inform strategic recommendations and product decisions.

• Client-Centric Approach: All initiatives, internal or external, are driven by the need to deliver value and solve complex problems for clients or internal stakeholders.

• Agile & Iterative Development: Given the mention of Agile and AI/GenAI, methodology likely incorporates agile principles for product development and strategy execution, allowing for flexibility and iterative improvements.

• Structured Problem-Solving: Oliver Wyman is known for its structured approach to tackling complex business challenges, which would extend to internal product strategy development.

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

📝 Enhancement Note: The company context is crucial for understanding the operational environment and expectations. The emphasis on consulting, AI, and a hybrid model provides a clear picture of the professional setting. The team structure is inferred to support the specific responsibilities of the Product Strategy Analyst.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an Analyst level within a Product Strategy function, typically considered an early to mid-career position. It's an execution-focused role designed to build foundational experience in strategic planning, product development, and cross-functional coordination. It requires strong analytical and communication skills, with an emphasis on structured output and reliable execution.

Reporting Structure: The Analyst will report to a more senior member of the Product Strategy team, likely a Product Manager or Senior Strategist. This reporting line will provide mentorship, guidance, and oversight, with opportunities to learn from experienced professionals in product strategy and AI.

Operations Impact: While not directly client-facing in a traditional consulting sense, this role has a significant impact on the development and success of Oliver Wyman's internal products, particularly those leveraging AI/GenAI. By ensuring strategic direction is translated into clear requirements and organized plans, the Analyst directly contributes to the efficiency of product development teams and the ultimate value proposition of Quotient. This role supports the "productization" of Oliver Wyman's intellectual capital and technological advancements.

Growth Opportunities:

• Specialization in AI/GenAI Strategy: Deepen expertise in AI-driven product development, prompt engineering, and strategic application of emerging technologies within the consulting and professional services landscape.

• Product Management Progression: Transition into Product Management roles, taking on more ownership of product roadmaps, feature definition, and go-to-market strategies.

• Consulting Career Path: Develop strong analytical and client-facing skills that could lead to traditional consulting roles within Oliver Wyman, focusing on digital transformation, AI strategy, or product consulting.

• Operations & Program Management: Grow into broader operations or program management roles, overseeing larger strategic initiatives and complex project portfolios across different business units.

• Leadership Development: With proven execution and strategic thinking, opportunities may arise to lead smaller initiatives or mentor junior analysts.

📝 Enhancement Note: This analysis positions the role within a typical career trajectory for strategy and operations professionals, highlighting its foundational nature and potential for advancement within a large, structured organization that is investing in AI. The emphasis is on building transferable skills in product, strategy, and operations.

🌐 Work Environment

Office Type: The role is designated as Hybrid, requiring 3 days per week in the Oliver Wyman London office. This indicates a professional, corporate office environment designed to facilitate collaboration, client meetings, and team-based work. The office likely offers modern amenities and collaborative workspaces.

Office Location(s): The job is based in the London office, specifically noted as "London - Baker". This suggests a central London location, likely in a well-established business district, offering good accessibility via public transport.

Workspace Context:

• Collaborative Environment: The office space is designed to foster collaboration, with meeting rooms, breakout areas, and potentially open-plan seating arrangements that encourage interaction among colleagues.

• Technology & Tools: Employees will have access to the necessary technology infrastructure, including computers, high-speed internet, and potentially specialized software or hardware relevant to product development and AI research. The company likely provides robust IT support.

• Team Interaction: The hybrid model ensures regular opportunities for in-person interaction with the Quotient Inside Product Strategy team, leadership, and other cross-functional colleagues, facilitating knowledge sharing and team cohesion.

Work Schedule: The position is full-time, with an expected ~40 hours per week. The hybrid model means that while specific days in the office may be fixed (e.g., "anchor days"), there's flexibility in personal work location for the remaining 2 days, provided work is completed effectively and deadlines are met. This schedule is designed to support both focused individual work and in-person team collaboration.

📝 Enhancement Note: The description of the work environment focuses on the practicalities of a hybrid role in a major professional services firm. It emphasizes the blend of structured office presence and flexible remote work, along with the collaborative and technologically supported nature of the workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A more in-depth interview with the hiring manager to discuss your background, experience related to product strategy, AI, and presentation skills. Expect behavioral and situational questions.

• Case Study/Presentation: A common step for strategy roles. You may be asked to prepare a presentation on a given topic (e.g., analyzing a product strategy, outlining requirements for an AI feature) or a case study from your portfolio. This assesses your analytical, synthesis, and presentation skills.

• Cross-functional Team Interviews: Interviews with key stakeholders you would collaborate with (e.g., Product Manager, Engineering Lead, Researcher) to evaluate your ability to work effectively in a team and understand your communication style.

• Final Interview/Debrief: Potentially a final discussion with a senior leader in the product or strategy group to confirm fit and discuss career aspirations.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest projects that best demonstrate the skills required: executive presentations, structured workplans, product requirements, and synthesis of complex information. Prioritize examples that involve strategy, product, or AI.

• De-identify Sensitive Information: Ensure all client-confidential or proprietary company data is removed or anonymized. Focus on the process and outcome, not the specific sensitive details.

• Structure for Clarity: For each portfolio piece, clearly outline: the challenge/objective, your role and responsibilities, the process you followed, the tools/methods used, the key deliverables, and the impact or outcome (quantified where possible).

• Highlight AI/GenAI Relevance: If you have relevant AI/GenAI experience, explicitly call it out and explain your involvement and learnings.

• Practice Your Narrative: Be prepared to walk through each portfolio example concisely, highlighting your contributions and key takeaways. Practice explaining the "why" behind your decisions and the impact of your work.

Challenge Preparation:

• Understand the Context: If given a case study, thoroughly understand the business context, the problem statement, and the target audience for your solution.

• Structure Your Approach: Outline your thinking process before diving into details. For strategy problems, consider frameworks like SWOT, PESTLE, Porter's Five Forces, or a structured problem-solving approach (e.g., Define, Analyze, Recommend, Implement).

• Focus on Executive Communication: Even for analytical tasks, frame your findings and recommendations in a way that is understandable and actionable for senior leadership.

• Demonstrate Collaboration: Be ready to discuss how you would gather input from different teams and synthesize diverse perspectives.

• Embrace AI: Consider how AI/GenAI tools could be leveraged in your proposed solution or to enhance the process itself.

📝 Enhancement Note: This section provides actionable advice for candidates, focusing on how to best present their qualifications and prepare for the specific interview stages common in strategy and product roles within consulting firms. The emphasis is on demonstrating structured thinking, communication skills, and relevant experience.

🛠 Tools & Technology Stack

Primary Tools:

• Presentation Software: Microsoft PowerPoint (highly likely), Google Slides. Proficiency in creating visually appealing and data-rich executive presentations is essential.

• Project Management & Collaboration: Tools like Jira, Confluence, Asana, Trello, or Azure DevOps (ADO) are commonly used for task management, workflow tracking, and documentation. Familiarity with ADO is a plus.

• Product Management Platforms: Aha! is specifically mentioned as a plus, indicating its use for roadmapping, strategy, and backlog management.

• Collaboration Suites: Microsoft 365 (Teams, SharePoint, OneDrive) or Google Workspace (Docs, Sheets, Slides, Drive).

• Note-Taking & Synthesis Tools: While not specified, tools like Evernote, Notion, or even structured document creation in Word/Google Docs will be used for capturing interview notes and synthesizing information.

Analytics & Reporting:

• Data Analysis Tools (Basic): Microsoft Excel or Google Sheets for data manipulation, basic analysis, and creating charts/graphs.

• Business Intelligence Tools (Potential Exposure): While not a primary analyst role for BI, exposure to tools like Tableau, Power BI, or Looker could be beneficial for understanding data visualization and reporting.

CRM & Automation:

• CRM Systems: Familiarity with CRM platforms like Salesforce, while not a direct requirement, can be helpful for understanding sales and customer data pipelines that product strategy influences.

• Workflow Automation (Conceptual): Understanding how workflows can be automated, especially with AI/GenAI tools, is a key aspect of the role.

📝 Enhancement Note: This section highlights the core technology stack expected for a Product Strategy Analyst in a modern professional services firm, with a specific emphasis on presentation tools, project management, and the mentioned preference for Aha! and ADO. It also touches upon the growing importance of AI/GenAI tools.

👥 Team Culture & Values

Operations Values:

• Intellectual Rigor & Problem Solving: A core value is the commitment to deep analytical thinking and structured approaches to solving complex business challenges, applied to both client work and internal product development.

• Excellence & Quality: A high standard for the quality of work, attention to detail, and accuracy in all outputs, from presentations to strategic plans.

• Collaboration & Teamwork: A strong emphasis on working effectively with diverse teams, sharing knowledge, and contributing to a collective goal, essential for the cross-functional nature of this role.

• Client Centricity (Internal & External): While this role is internal, the mindset is to serve "internal clients" (e.g., product teams, leadership) with the same dedication and focus on delivering value as external client work.

• Innovation & Adaptability: A forward-looking approach, embracing new technologies like AI/GenAI and adapting to evolving market needs and internal priorities.

Collaboration Style:

• Proactive & Engaged: Team members are expected to be proactive in seeking information, offering contributions, and driving initiatives forward.

• Open Communication & Feedback: A culture that encourages open dialogue, constructive feedback, and transparent communication across all levels and departments.

• Cross-Functional Partnership: Collaboration is viewed as a partnership, where different functional expertise is valued and integrated to achieve shared objectives.

• Knowledge Sharing: A commitment to sharing insights, best practices, and learnings to foster continuous improvement and collective growth within the team and the wider organization.

📝 Enhancement Note: This section extrapolates the likely cultural values and collaboration styles based on Oliver Wyman's reputation as a leading management consultancy and the nature of a hybrid, AI-focused product strategy role within it. The focus is on professional excellence, collaboration, and innovation.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Strategic Vision with Execution Details: The role requires simultaneously understanding the high-level strategic goals and meticulously managing the detailed execution steps, which can be demanding.

• Navigating Complex Stakeholder Landscapes: Coordinating inputs and managing expectations across multiple departments and seniority levels within a large organization can be complex.

• Rapidly Evolving AI/GenAI Landscape: Staying abreast of the fast-paced advancements in AI/GenAI and translating these into practical product strategies requires continuous learning and adaptability.

• Synthesizing Ambiguous Information: Often, strategic initiatives begin with incomplete or ambiguous information, requiring strong synthesis skills to create clarity and actionable plans.

• Managing Multiple Workstreams: Juggling various initiatives, deadlines, and stakeholder requests simultaneously will be a constant aspect of the role.

Learning & Development Opportunities:

• AI/GenAI Specialization: Intensive learning opportunities in AI/GenAI technologies, prompt engineering, and their application in business strategy and product development.

• Product Strategy Mastery: Deepen expertise in product strategy frameworks, market analysis, and go-to-market planning within a leading consulting firm.

• Cross-Functional Acumen: Gain exposure to and understanding of various business functions (Engineering, Design, Research, Marketing, Sales) and how they interrelate.

• Executive Communication Skills: Refine abilities in crafting compelling narratives and presenting complex information effectively to senior leadership.

• Consulting Methodologies: Develop a strong foundation in the structured problem-solving and analytical approaches characteristic of Oliver Wyman.

📝 Enhancement Note: This section identifies potential challenges inherent to the role and its context, framing them as opportunities for professional growth and skill development, aligned with the company's investment in AI and strategic capabilities.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you translated a complex strategic objective into a detailed workplan. What were the key challenges, and how did you overcome them?" (Focus: Workplan Development, Problem-Solving, Execution)

• "Walk me through an executive-level presentation you created. What was the objective, who was the audience, and what was the impact?" (Focus: Executive Presentation, Communication, Impact)

• "How would you approach gathering and synthesizing requirements from multiple technical and non-technical stakeholders for a new AI-powered feature?" (Focus: Stakeholder Management, Synthesis, Product Requirements, AI Acumen)

• "Imagine we're considering a new GenAI tool for internal use. What steps would you take to evaluate its strategic fit and prepare a business case?" (Focus: Strategic Thinking, AI/GenAI Application, Investment Case) Company & Culture Questions:

• "Why are you interested in Oliver Wyman and specifically this role within the Quotient Product Strategy team?" (Focus: Motivation, Company Research, Role Fit)

• "How do you stay updated on emerging technologies like AI/GenAI, and how have you applied this knowledge in previous roles?" (Focus: Continuous Learning, AI/GenAI Curiosity)

• "Describe your experience working in a hybrid environment. What strategies do you use to ensure effective collaboration and productivity?" (Focus: Hybrid Work Adaptability, Collaboration) Portfolio Presentation Strategy:

• Project Selection: Choose projects that best showcase your ability to build executive decks, create structured workplans, and define high-level product requirements, ideally with an AI/GenAI component if possible.

• Narrative Arc: For each project, tell a concise story: Problem -> Your Role/Approach -> Solution/Deliverables -> Impact/Outcome.

• Quantify Impact: Where possible, use metrics to demonstrate the success or impact of your work (e.g., "reduced time to market by X%", "improved stakeholder alignment," "clarified requirements leading to Y% fewer development iterations").

• Highlight Collaboration: Be ready to discuss how you worked with different teams and managed stakeholders.

• AI/GenAI Integration: If applicable, clearly articulate your involvement with AI/GenAI tools and technologies. Be prepared to discuss prompt engineering or workflow integration concepts.

📝 Enhancement Note: These interview questions and preparation tips are designed to target the specific skills and experiences required for a Product Strategy Analyst role, emphasizing strategic thinking, communication, execution, and familiarity with AI technologies within a professional services context.

📌 Application Steps

To apply for this Product Strategy Analyst position:

• Submit Your Application: Navigate to the provided Workday job portal link and submit your resume and any requested supporting documents.

• Tailor Your Resume: Ensure your resume highlights your experience in strategy, product operations, executive presentations, cross-functional coordination, and any exposure to AI/GenAI tools. Use keywords from the job description.

• Curate Your Portfolio: Select and prepare 2-3 key projects that clearly demonstrate your ability to create executive-ready materials, structured workplans, and high-level product requirements. Ensure these are de-identified and ready for presentation.

• Research Oliver Wyman & Quotient: Familiarize yourself with Oliver Wyman's consulting services, its approach to innovation, and any publicly available information about Quotient or its AI initiatives. Understand the company's values and culture.

• Practice Your Narrative: Rehearse walking through your portfolio examples, answering common interview questions, and articulating your interest in the role and company. Be ready to discuss your experience with AI/GenAI tools.

⚠️ 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.