Product Designer
π Job Overview
Job Title: Product Designer
Company: Marsh McLennan (Mercer)
Location: Gurugram - Good Earth, India
Job Type: Full-time
Category: Product Design / User Experience (UX) / User Interface (UI)
Date Posted: 2026-02-26
Experience Level: 2-5 Years (Mid-Level)
Remote Status: Hybrid (3 days in office minimum)
π Role Summary
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This role is for a Product Designer with a strong focus on Enterprise SaaS products, integrating Artificial Intelligence (AI) features, and contributing to robust Design Systems.
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The position requires end-to-end design ownership, from initial UX research and information architecture to final UI and interactive prototyping for both web and mobile platforms.
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A key aspect involves designing and scaling a centralized Design System to ensure visual and functional consistency across all product modules.
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The role demands close collaboration with Product Managers, AI/ML Engineers, and Frontend Developers to translate complex requirements into user-friendly and technically feasible solutions.
π Enhancement Note: While the original posting is for a "Product Designer," the detailed responsibilities heavily lean into UX/UI design, particularly within the Enterprise SaaS and AI product development space. The emphasis on research, architecture, high-fidelity UI, and system design positions this role as a mid-level to senior UX/UI designer with a product-centric approach. The "2-5 years" experience level reinforces this mid-level categorization.
π Primary Responsibilities
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Lead the design strategy and execution for complex Enterprise SaaS workflows, with a specific emphasis on integrating AI-enhanced features such as automated proctoring, AI-driven skill gap analysis, and predictive hiring dashboards.
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Take ownership of the complete design lifecycle, commencing with in-depth user experience (UX) research, defining information architecture, and progressing to the creation of high-fidelity user interface (UI) designs and interactive prototypes.
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Actively contribute to the development, maintenance, and scaling of a centralized Design System, ensuring consistent visual language and functional patterns across all product modules and platforms.
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Design responsive web experiences and native mobile applications with a mobile-first mindset, prioritizing high performance, intuitive navigation, and seamless usability for users on the go, especially for assessment platforms.
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Conduct rigorous UX research activities, including user interviews, usability testing sessions, and data analysis, to validate design hypotheses and drive iterative improvements based on direct user feedback.
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Foster strong cross-functional collaboration with Product Managers, AI/ML Engineers, and Frontend Developers to ensure technical feasibility, alignment with business objectives, and the successful implementation of high-quality design solutions.
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(Preferred) Leverage motion graphics and animation principles to enhance user engagement, clarify complex transitions, and add a layer of "delight" to the overall user journey.
π Enhancement Note: The responsibilities highlight a deep dive into AI product design, which is a specialized and growing area. Candidates should be prepared to discuss their experience with AI-specific design challenges, such as managing user expectations around AI outputs, designing interfaces for prompt engineering, and handling AI feedback loops within user workflows.
π Skills & Qualifications
Education:
Experience:
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2-5 years of professional experience in Product Design, UX Design, or UI Design, with a proven track record of designing and launching successful enterprise-level SaaS applications.
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Demonstrated experience in designing for AI-driven products and features, including understanding AI transparency, prompt engineering interfaces, and AI feedback loops.
Required Skills:
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Expertise in Design Tools: Mastery of <b>Figma</b> for comprehensive UI/UX design, wireframing, user flows, and interactive prototyping.
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Collaborative Tools: Proficiency in <b>FigJam</b> for collaborative whiteboarding, brainstorming, user journey mapping, and ideation sessions.
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UI/UX Design Principles: Strong understanding and application of user-centered design principles, information architecture, interaction design, and visual design.
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SaaS Product Design: Proven experience designing complex workflows and user interfaces for Software-as-a-Service (SaaS) applications.
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Cross-Functional Collaboration: Ability to effectively partner with Product Management, Engineering (AI/ML, Frontend), and other stakeholders to drive design initiatives.
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Communication: Excellent verbal and written communication skills, with the ability to articulate design decisions, present concepts, and provide constructive feedback.
Preferred Skills:
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Adobe Creative Cloud: Proficiency in <b>Photoshop</b> and <b>Illustrator</b> for creating and editing visual assets.
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Motion Design Tools: Experience with <b>After Effects</b> or similar tools for creating animations, micro-interactions, and motion graphics; familiarity with <b>Lottie</b> for web animations is a plus.
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UX Research Methodologies: Hands-on experience conducting user interviews, usability testing, heuristic evaluations, and analyzing qualitative/quantitative data.
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Mobile Design: Experience designing for native mobile applications (iOS/Android) and understanding platform-specific design guidelines.
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AI Design Fluency: Deeper understanding of AI capabilities and limitations, and how to design transparent and trustworthy AI interactions.
π Enhancement Note: The emphasis on "AI Design Fluency" and specific tools like "Figma," "FigJam," and "After Effects/Lottie" are critical keywords. Candidates should highlight projects where they've designed AI-driven features, demonstrating an understanding of user interaction with intelligent systems.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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SaaS Application Case Studies: Showcase at least 2-3 detailed case studies of complex SaaS web applications you have designed, highlighting your role, the problem addressed, your design process, and the impact of your solutions.
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AI Product Design Examples: Include specific examples or case studies demonstrating your experience designing for AI-powered features or products, illustrating how you handled user interaction with AI, data transparency, and feedback mechanisms.
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Design System Contribution: Provide evidence of your involvement in developing, documenting, or scaling a Design System, including examples of components, guidelines, and how you ensured consistency.
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Mobile Design Work: Present examples of native mobile application designs (iOS/Android) or responsive web designs that effectively address user needs on smaller screens.
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Research-Driven Process: Clearly articulate your UX research methodologies and how user feedback and data informed your design decisions throughout the project lifecycle.
Process Documentation:
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Workflow Design & Optimization: Demonstrate your ability to map out complex user workflows, identify pain points, and design streamlined, efficient solutions, particularly within enterprise contexts.
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System Implementation & Consistency: Illustrate how you have applied Design System principles to ensure consistency in UI elements, interaction patterns, and overall user experience across different product modules or platforms.
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Measurement & Performance Analysis: Show how you have used data and user feedback to measure the success of your designs and iterate on them to improve key metrics (e.g., task completion rates, user satisfaction, adoption of AI features).
π Enhancement Note: For this role, a portfolio that clearly demonstrates a structured, research-driven design process applied to complex SaaS and AI products is paramount. Candidates should be ready to walk through their process, explaining their rationale for design decisions and how they leveraged tools like Figma and FigJam.
π΅ Compensation & Benefits
Salary Range:
Benefits:
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Comprehensive health insurance (medical, dental, vision) for employees and eligible dependents.
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Retirement savings plans or provident fund contributions.
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Paid time off, including vacation days, sick leave, and public holidays.
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Opportunities for professional development, including training, workshops, and conference attendance.
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Hybrid work model, offering flexibility and work-life balance.
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Access to company-provided resources and technology.
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Employee assistance programs for well-being support.
Working Hours:
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Standard full-time working hours are expected to be approximately 40 hours per week.
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The hybrid work model allows for flexibility, with a requirement to be in the Gurugram office at least three days per week, and at least one "anchor day" per week for team collaboration.
π Enhancement Note: Salary is estimated based on common ranges for mid-level product design roles in Gurugram, India, considering the companyβs industry and scale. The hybrid work requirement is a significant benefit that should be factored into compensation expectations.
π― Team & Company Context
π’ Company Culture
Industry: Financial Services, Consulting, and Human Resources Solutions. Mercer is a business of Marsh McLennan, a global leader in risk, reinsurance, capital, people and investments, and management consulting.
Company Size: Marsh McLennan has over 95,000 colleagues worldwide, with annual revenue exceeding $27 billion. Mercer itself is a significant global entity within this structure. This large scale suggests a well-established, structured organization with opportunities for impact and career growth.
Founded: Marsh McLennan's origins trace back to 1905. Mercer was founded in 1945. This long history indicates stability, deep industry expertise, and a legacy of service.
Team Structure:
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The Product Designer will likely be part of a larger Product Development or Design team within Mercer's technology or business unit. This team would include Product Managers, UX Researchers, other Product Designers, UI Designers, and potentially UX Writers.
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Reporting Structure: The designer will likely report to a Design Lead, Head of Product Design, or a Director of Product Management, depending on the specific team's organization.
Methodology:
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Data-Driven Design: Mercer, as part of Marsh McLennan, likely emphasizes data-driven decision-making. This means design hypotheses will be validated through UX research, A/B testing, and analysis of product usage metrics.
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Agile Development: Product development is commonly managed using Agile methodologies (Scrum, Kanban), requiring designers to work in iterative cycles, providing designs and feedback within sprints.
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Design System Centricity: A strong emphasis on Design Systems points to a methodology focused on efficiency, scalability, and consistency through reusable components and patterns.
Company Website: https://www.mercer.com/ and https://www.marshmclennan.com/
π Enhancement Note: Marsh McLennan is a Fortune 500 company with a strong global presence. This context suggests a professional, structured environment that values data-backed decisions, innovation within established frameworks, and a commitment to diversity and inclusion. The hybrid work policy is a key cultural element.
π Career & Growth Analysis
Operations Career Level: This role is positioned at a mid-level (2-5 years of experience). It requires independent contribution and ownership of design tasks, but also involves working within established frameworks and collaborating extensively with cross-functional teams. It's a stepping stone to more senior or specialized design roles.
Reporting Structure: The designer will report to a design leadership role, receiving guidance and mentorship while being expected to manage their own project workload. They will collaborate closely with peers in Product Management and Engineering.
Operations Impact: The Product Designer's impact is crucial for the success of Mercer's Enterprise SaaS and AI products. By creating intuitive, efficient, and user-friendly interfaces, they directly influence user adoption, customer satisfaction, operational efficiency for clients, and ultimately, the revenue generated by these products. Designing AI features effectively can unlock new business opportunities and competitive advantages.
Growth Opportunities:
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Senior Product Designer/Lead Designer: Progression to a senior role with increased ownership, mentorship responsibilities, and greater influence on product strategy.
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Specialization: Develop expertise in specific areas like AI/ML product design, Design Systems architecture, or UX research leadership.
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Cross-Functional Mobility: Potential to move into related roles such as Product Management or UX Research Lead, leveraging deep product understanding.
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Leadership Development: Opportunities for leadership training and involvement in strategic initiatives within the design organization.
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Industry Expertise: Deepen knowledge in financial services, HR tech, and AI applications, becoming a subject matter expert.
π Enhancement Note: The role offers a clear path for growth within a large, established organization. The focus on emerging technologies like AI provides an opportunity to build highly in-demand skills.
π Work Environment
Office Type: Marsh McLennan promotes a hybrid work model. This means the Gurugram office is a collaborative hub, designed to support team meetings, brainstorming sessions, and focused work, balanced with remote flexibility. The office environment is likely professional and modern, equipped for hybrid collaboration.
Office Location(s): Gurugram - Good Earth, India. This location is a significant business hub, offering accessibility and a professional setting.
Workspace Context:
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Collaborative Environment: The office is intended for fostering teamwork, with spaces designed for group discussions, workshops, and cross-functional alignment.
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Operations Tools & Technology: Expect access to industry-standard design software (Figma, Adobe Creative Cloud), collaboration tools (FigJam, Teams/Slack), and potentially specialized AI/ML design tools. A reliable IT infrastructure will support both in-office and remote work.
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Team Interaction: The hybrid model encourages in-person interaction on designated days, facilitating stronger team bonds and more dynamic problem-solving sessions with colleagues from design, product, and engineering.
Work Schedule:
- The standard 40-hour work week is complemented by the hybrid model, offering flexibility in where work is done, but maintaining core working hours for collaboration and team availability. The requirement for 3 days in the office ensures consistent team presence and engagement.
π Enhancement Note: The hybrid work policy is a defining characteristic of the work environment. Candidates should be comfortable with a blend of in-office and remote work, understanding the value placed on in-person collaboration for specific activities.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter will likely review your application and resume, followed by a brief introductory call to assess basic qualifications and cultural fit.
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Portfolio Review: You will be asked to present your portfolio, showcasing specific case studies relevant to SaaS, AI, and Design Systems. Be prepared to articulate your design process, your role in each project, and the outcomes.
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Design Challenge/Exercise: Expect a take-home or live design exercise. This might involve solving a specific product problem, refining an existing UI, or outlining a UX strategy for a new AI feature. The focus will be on your problem-solving skills, design thinking, and ability to apply company standards.
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Hiring Manager/Team Interviews: Interviews with the hiring manager and potential team members (Product Managers, Engineers, other Designers). These will delve deeper into your experience, technical skills, collaboration style, and how you handle challenges.
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Final Round: Potentially an interview with senior leadership to assess strategic thinking and overall fit.
Portfolio Review Tips:
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Curate for Relevance: Prioritize projects that best demonstrate your skills in SaaS, AI product design, and Design Systems. Tailor your presentation to the specific requirements of this role.
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Tell a Story: For each case study, clearly outline the problem, your process (research, ideation, design, testing), your specific contributions, the challenges you faced, and the measurable results or impact.
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Show Your Process: Don't just show final screens. Include wireframes, user flows, research findings, and iterations to demonstrate your thinking.
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Highlight AI & SaaS Experience: Explicitly call out your experience with AI features and complex SaaS workflows. Explain how you approached the unique challenges of designing for these domains.
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Design System Focus: If you have Design System experience, showcase how you contributed, maintained, or utilized it. Explain its benefits and how it ensured consistency.
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Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., increased conversion rates, reduced task completion time, improved user satisfaction scores).
Challenge Preparation:
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Understand the Context: If given a take-home challenge, thoroughly research Mercer's products and industry to inform your solution.
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Focus on Process: Even if you don't have time to create pixel-perfect mockups, clearly articulate your thought process, research approach, and design rationale.
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Address AI Nuances: If the challenge involves AI, consider ethical implications, transparency, and user trust in your proposed solutions.
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Present Concisely: Prepare to present your challenge solution clearly and concisely, focusing on the most critical aspects and design decisions.
π Enhancement Note: The interview process will heavily scrutinize the candidate's portfolio and their ability to articulate their design process and decision-making, especially concerning AI and complex SaaS products.
π Tools & Technology Stack
Primary Tools:
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Figma: This is the primary tool for UI/UX design, wireframing, prototyping, and collaboration. Mastery is essential.
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FigJam: Used for collaborative ideation, whiteboarding, user flow mapping, and brainstorming.
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Adobe Creative Cloud:
- Photoshop: For image editing, asset creation, and manipulation.
- Illustrator: For vector graphics, icons, and illustrations.
- After Effects (Preferred): For creating animations, micro-interactions, and motion graphics to enhance user experience and storytelling.
Analytics & Reporting:
- While not directly a design tool, designers are expected to understand and utilize data from tools like Google Analytics, Amplitude, Mixpanel, or internal BI platforms to inform design decisions and measure impact.
CRM & Automation:
- Understanding of how designs integrate into CRM systems (e.g., Salesforce) or automated workflows is beneficial, though direct experience with these might not be required for a pure design role.
π Enhancement Note: Proficiency in Figma and FigJam is non-negotiable. Experience with motion design tools like After Effects or Lottie is a strong plus, indicating a candidate's ability to create more engaging and dynamic user experiences.
π₯ Team Culture & Values
Operations Values:
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Customer Centricity: A strong focus on understanding and serving the needs of Mercer's clients and their end-users, driving design decisions based on user research and feedback.
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Collaboration & Teamwork: Emphasis on working effectively across disciplines (Product, Engineering, Research) to achieve shared goals. The hybrid model reinforces this value.
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Innovation & Continuous Improvement: Encouraging the exploration of new technologies like AI and continuously refining processes and products to enhance efficiency and user experience.
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Data-Driven Decision Making: Relying on data and analytics to validate assumptions, measure success, and guide product development.
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Excellence & Quality: A commitment to delivering high-quality, polished, and effective design solutions that meet business objectives and user needs.
Collaboration Style:
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Cross-Functional Integration: Designers are expected to be deeply integrated into product teams, participating in sprint planning, backlog grooming, and regular stand-ups.
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Open Feedback Culture: Encouragement of constructive feedback during design reviews and within team interactions to foster growth and improve design outcomes.
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Knowledge Sharing: Active participation in design critiques, internal workshops, and sharing best practices to elevate the team's overall design maturity.
π Enhancement Note: The company's commitment to diversity, inclusion, and a hybrid work environment suggests a culture that values employee well-being and diverse perspectives, which should be reflected in how candidates approach collaboration and problem-solving.
β‘ Challenges & Growth Opportunities
Challenges:
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Designing for AI Complexity: Translating sophisticated AI capabilities into intuitive and trustworthy user experiences requires careful consideration of transparency, explainability, and user control.
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Scalability of Design Systems: Continuously evolving and scaling a Design System to accommodate new features, platforms, and evolving brand guidelines can be demanding.
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Balancing Stakeholder Needs: Effectively managing the diverse requirements and expectations of various stakeholders (Product, Engineering, Business) while advocating for user-centered design.
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Hybrid Work Dynamics: Maximizing collaboration and communication effectiveness within a hybrid work environment, ensuring all team members feel connected and informed.
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Rapid Technological Evolution: Keeping pace with advancements in AI, design tools, and user expectations in a dynamic market.
Learning & Development Opportunities:
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AI/ML Design Specialization: Deepen expertise in designing for AI, machine learning, and data-driven products through dedicated projects and training.
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Design System Mastery: Become an expert in Design System architecture, governance, and implementation, potentially leading Design System initiatives.
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Industry Knowledge: Gain in-depth understanding of the financial services, HR consulting, and risk management sectors, contributing to more impactful design solutions.
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Advanced Design Tool Proficiency: Explore and master new features in Figma, motion design tools, and potentially emerging AI-assisted design tools.
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Mentorship Programs: Benefit from mentorship from senior designers or leaders within Marsh McLennan and participate in mentoring junior designers as experience grows.
π Enhancement Note: The role offers significant opportunities to work with cutting-edge technology (AI) and complex enterprise solutions, providing a strong foundation for career advancement in specialized design fields.
π‘ Interview Preparation
Strategy Questions:
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"Describe a complex SaaS workflow you designed. What were the key challenges, and how did you simplify it for users?" (Focus on process, user empathy, and simplification)
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"How would you approach designing an AI-driven feature, such as predictive hiring? What are the critical considerations for transparency and user trust?" (Assess AI design thinking, ethical considerations)
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"Walk us through your experience with Design Systems. How have you contributed to or utilized one, and what are the benefits of using a Design System in a large organization?" (Evaluate Design System knowledge and application)
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"Tell us about a time you had to balance conflicting stakeholder requirements. How did you navigate the situation and arrive at a design solution?" (Gauge collaboration, negotiation, and problem-solving skills)
Company & Culture Questions:
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"What do you know about Mercer and Marsh McLennan, and why are you interested in working here?" (Demonstrate research and genuine interest)
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"How do you envision contributing to our hybrid work environment and fostering collaboration with remote and in-office team members?" (Assess adaptability and understanding of hybrid dynamics)
Portfolio Presentation Strategy:
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Structure is Key: Organize your presentation logically, starting with an overview of your role and the project's goals, then diving into your process.
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Highlight Your Role: Be specific about your contributions β what did you do? Avoid vague statements.
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Show, Don't Just Tell: Use visuals effectively. Show wireframes, flows, user journeys, high-fidelity mockups, and prototypes. Explain why you made certain design choices.
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Focus on Impact: Quantify results whenever possible. If exact metrics aren't available, discuss the intended impact and how you would measure success.
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Be Ready for Questions: Anticipate questions about your choices, challenges, and alternative solutions you considered. Engage in a dialogue.
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Tailor to AI/SaaS: For this role, ensure your presentation emphasizes your experience with AI-informed features and complex enterprise software.
π Enhancement Note: Interview preparation should focus on showcasing a strong, user-centered design process, with specific examples related to SaaS and AI products. Articulating the "why" behind design decisions is as important as the "what."
π Application Steps
To apply for this Product Designer position:
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Submit your application through the provided link on the Marsh McLennan careers portal.
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Portfolio Customization: Ensure your online portfolio is up-to-date and prominently features case studies that align with the job description's emphasis on Enterprise SaaS, AI features, and Design Systems. Tailor your introductory statement to highlight your relevant experience.
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Resume Optimization: Craft your resume to highlight keywords from the job description, such as "Product Designer," "Figma," "FigJam," "SaaS," "AI," "UX Research," "Design Systems," and "Prototyping." Quantify achievements where possible.
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Interview Preparation: Practice articulating your design process, your contributions to past projects, and how you approach challenges. Prepare to discuss your experience with AI design and SaaS workflows in detail. Rehearse your portfolio presentation.
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Company Research: Familiarize yourself with Mercer's services, Marsh McLennan's overall business, and their commitment to hybrid work. Understand their market position and the types of products they offer.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions to provide a comprehensive overview. All details should be verified directly with the hiring organization during the application and interview process.
Application Requirements
Candidates must demonstrate mastery of design tools such as Figma and FigJam, along with proficiency in the Adobe Creative Cloud suite for asset creation. Essential experience includes designing for AI products, showcasing a strong portfolio of SaaS and mobile designs, and the ability to articulate design decisions clearly to stakeholders.