Sr. Manager UX Design, AWS Fintech Research & Design

📍 Job Overview

Job Title: Sr. Manager UX Design, AWS Fintech Research & Design
Company: Amazon
Location: Seattle, Washington, United States
Job Type: Full-Time
Category: UX Design / Research Operations
Date Posted: 2025-12-23
Experience Level: 10+ Years (with 5+ years in leadership)
Remote Status: On-site

🚀 Role Summary

• Lead a team of UX designers and researchers, driving AI-first research and design operations within the AWS Fintech domain.
• Establish and evolve scalable UX processes, including design toolkits, research templates, and impact measurement methodologies, with a strong emphasis on AI integration.
• Ensure operational excellence through robust telemetry, real-time analytics on task completion, and adherence to WCAG AA/AAA accessibility standards for enterprise products.
• Drive adoption of key platforms like Uno, QuickSuite, and Cloudscape across Amazon's finance ecosystem and foster strategic cross-organizational partnerships.
• Deliver deployment-ready products such as Roster and AMPS, directly impacting senior leadership goals and organizational objectives.

📝 Enhancement Note: This role is positioned as a Senior Manager, indicating significant leadership responsibilities over a team and a strategic influence on product development and operational processes within a critical business unit (AWS Fintech). The emphasis on "AI-first" suggests a forward-looking approach to design and research, requiring candidates to be adept at leveraging artificial intelligence in their methodologies. The scope of product delivery (Roster, AMPS) points to large-scale enterprise solutions managing significant financial data and employee management.

📈 Primary Responsibilities

• Spearhead the establishment and continuous improvement of AI-first research and design operations, focusing on automation to accelerate discovery cycles.
• Develop and implement scalable UX processes and assets, including comprehensive design toolkits, standardized research templates, detailed journey maps, and robust impact measurement frameworks.
• Drive operational excellence by ensuring comprehensive telemetry coverage and analyzing real-time metrics such as task completion rates, page load times, and error rates across all AWS Fintech products.
• Guarantee strict adherence to WCAG AA and AAA accessibility compliance for all enterprise-grade financial products.
• Lead the adoption of key platforms, including Uno (AWS Finance central system), QuickSuite (AI-powered analytics), and Cloudscape (AWS Design System), across the broader Finance ecosystem.
• Cultivate and maintain strategic partnerships with diverse finance and business intelligence teams throughout Amazon.
• Actively contribute to the 'Partner Patterns' program within Cloudscape to promote and scale design system adoption among Amazon-wide finance teams.
• Foster collaborative efforts with product management, engineering, and business stakeholder teams on critical cross-organizational initiatives.
• Oversee the delivery of deployment-ready products, such as Roster (for managing tens of thousands of employees) and AMPS (for billions in annual spend lifecycle management), alongside other AWS Fintech platforms.
• Empower the design and research team to conceptualize and deliver impactful features across the AWS Fintech product ecosystem, directly aligning with senior leadership directives and organizational objectives.
• Own and influence senior leadership, CFO-level, and organizational goals, including co-authoring annual operating plans that articulate research and design impact and justify headcount requirements.
• Establish, monitor, and track customer experience (CX) metrics across multiple products, driving demonstrable improvements in user satisfaction and ease of use.
• Balance hands-on design contributions with team leadership responsibilities, actively participating in high-priority projects while enabling overall team success.
• Lead, mentor, and develop a diverse team of product designers, user researchers, and design system specialists, fostering a culture of innovation, customer obsession, and operational excellence.
• Provide consistent coaching, mentorship, and career development guidance to facilitate team member growth and advancement.
• Drive strategic hiring and promotion decisions to cultivate future design leaders within the organization.
• Conduct performance management processes and ensure team alignment with Amazon's Leadership Principles.

📝 Enhancement Note: The responsibilities highlight a dual focus on strategic leadership and hands-on execution within a complex enterprise environment. The emphasis on "AI-first" and "operational excellence" through telemetry and analytics suggests a data-driven approach to UX, which is crucial for demonstrating impact in a large organization like Amazon. The mention of specific internal tools like Roster and AMPS indicates the need for practical experience in enterprise-level product delivery.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Psychology, Computer Science, or a related field is typically expected for senior UX leadership roles at Amazon.

Experience:

• Minimum of 10 years of progressive experience in UX design.
• At least 5 years of direct experience managing and developing multi-disciplinary design and research teams.
• Proven track record of successfully delivering end-to-end product experiences from initial concept through to launch and iteration.
• Demonstrated experience in building and scaling robust design processes and operational frameworks.

Required Skills:

• UX Design Leadership: Proven ability to lead and mentor teams of UX designers and researchers, fostering a high-performing and innovative team culture.
• AI-First Research & Design: Experience in conceptualizing and implementing research and design strategies that leverage AI/ML capabilities to enhance user experiences and discovery processes.
• Design Operations Management: Expertise in establishing and scaling design operations, including developing design toolkits, research methodologies, and impact measurement frameworks.
• Product Delivery: Strong experience in delivering complex, end-to-end product experiences within enterprise environments, from ideation to launch and iterative improvement.
• Accessibility Compliance: Deep understanding and practical application of WCAG AA and AAA accessibility standards for enterprise-grade software.
• Cross-Functional Collaboration: Exceptional ability to build and maintain strong partnerships with product management, engineering, business intelligence, and other cross-functional teams.
• Customer Experience (CX) Measurement: Skill in defining, tracking, and analyzing CX metrics to drive measurable improvements in user satisfaction and product usability.
• Team Development & Mentorship: Demonstrated success in coaching, mentoring, and developing team members, including driving career progression and promotions.
• Agile Development Environments: Experience working effectively within agile product development frameworks, collaborating closely with engineering and product teams.

Preferred Skills:

• Enterprise SaaS/Financial Product Design: Prior experience designing complex enterprise SaaS applications or specialized financial products, understanding the unique challenges and requirements of these domains.
• Partnership Building & Influence: A track record of successfully building strategic partnerships across organizations and influencing stakeholders without direct authority.
• AI/ML Product Design: Specific experience in designing user interfaces and experiences for AI/ML-powered features and products.
• Senior Leadership Communication: Proven ability to present design strategy, research findings, and team impact effectively to senior leadership, including CFO-level executives.
• Design Systems Expertise: Experience with or contribution to large-scale design systems (e.g., Cloudscape), including driving adoption and scaling patterns.
• Telemetry and Analytics: Proficiency in leveraging telemetry data and real-time analytics to inform design decisions and measure product performance.
• Process Optimization: Experience in identifying and implementing process improvements to enhance team efficiency and product quality.

📝 Enhancement Note: The requirements emphasize a blend of strategic leadership, operational rigor, and deep UX expertise, particularly within an enterprise or financial technology context. The "AI-first" and "scalable processes" aspects are critical differentiators, suggesting a need for candidates who can innovate in how design and research are conducted. The 10+ years of experience with 5+ years in leadership clearly defines this as a senior management position.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of Scalable Processes: Showcase examples of how you've designed, implemented, and scaled UX processes (e.g., design toolkits, research frameworks, operational workflows) that improved team efficiency and product quality across multiple projects or teams. Quantify the impact where possible.
• AI-Driven Design/Research Examples: Include projects where AI or ML was leveraged to enhance user experience, streamline research, or provide new insights. Detail your role in defining the AI-driven features or research methodologies.
• Enterprise Product Delivery Examples: Present end-to-end product development case studies, ideally from enterprise SaaS or financial domains, demonstrating your ability to take a product from concept to launch, managing complexity and stakeholder needs.
• Impact Measurement & Telemetry Integration: Provide examples of how you've defined and tracked customer experience metrics, and how you've used telemetry data or real-time analytics to inform design decisions and demonstrate product success.
• Design System Contributions: If applicable, showcase contributions to or leadership in the adoption of design systems, highlighting how you've scaled their usage across teams.

Process Documentation:

• Workflow Design and Optimization: Evidence of creating clear, efficient, and scalable workflows for design and research activities, including methodologies for discovery, ideation, validation, and iteration.
• Implementation and Automation: Examples of how you've implemented new processes or automated existing ones to improve efficiency, reduce cycle times, and enhance team productivity, particularly with an AI-first approach.
• Measurement and Performance Analysis: Documentation demonstrating how you establish KPIs, track performance against goals (e.g., task completion rates, error rates, accessibility compliance), and use data to drive continuous improvement.

📝 Enhancement Note: For a role of this seniority and focus on operations, a portfolio isn't just about visual design but about demonstrating strategic thinking, process ownership, and quantifiable impact. The emphasis on "scalable processes," "AI-first," and "operational excellence" means candidates must showcase how they build and manage systems that enable consistent, high-quality design and research outcomes at scale.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: $162,300 - $268,400 USD per year.
• Explanation: This range is directly provided by Amazon for the Seattle, Washington market. It reflects the senior management level, extensive experience required (10+ years), and the high cost of living in the Seattle area. The broader range accounts for variations based on specific experience, skill set, and internal Amazon compensation bands.

Benefits:

• Health Insurance: Comprehensive medical, dental, and vision insurance plans.
• Stock Options/RSUs: Potential for Restricted Stock Units (RSUs) as part of the total compensation package, reflecting Amazon's position as a public company.
• 401(k) Plan: A retirement savings plan with potential company matching contributions.
• Paid Time Off (PTO): Generous vacation, sick leave, and paid holidays.
• Parental Leave: Paid leave for new parents.
• Employee Discount: Discounts on Amazon products and services.
• Professional Development: Opportunities for training, conferences, and continuing education.
• Relocation Assistance: May be available for candidates relocating to Seattle.

Working Hours:

• Standard full-time workweek, typically 40 hours.
• Flexibility: While the role is on-site, there may be some flexibility in daily start/end times, with the expectation of availability for critical meetings and cross-time zone collaboration as needed. The nature of senior management often requires dedication beyond standard hours for strategic initiatives and team support.

📝 Enhancement Note: The salary range is explicitly provided, which is highly beneficial for candidates. The benefits listed are standard for large tech companies like Amazon, with a particular emphasis on stock-based compensation (RSUs) and comprehensive health and retirement plans, common for senior roles. The working hours note acknowledges the typical expectation for full-time roles while hinting at the flexibility often afforded to management positions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing, E-commerce, Artificial Intelligence, Enterprise Software. Amazon Web Services (AWS) is a leader in the cloud computing market, providing a vast array of services to businesses worldwide, including those in the financial sector.

Company Size: Amazon is a massive global corporation with over 1.5 million employees worldwide. This scale brings opportunities for impact, extensive resources, and complex organizational structures.

Founded: Amazon was founded in 1994 by Jeff Bezos, initially as an online bookstore. It has since expanded into a diversified technology conglomerate, with AWS launched in 2006. This long history signifies a culture of innovation and continuous evolution.

Team Structure:

• The AWS Fintech Research & Design team is a specialized unit focused on creating innovative user experiences for financial professionals within AWS.
• This team operates globally, with members in Seattle, Hyderabad, and Jersey City, necessitating strong remote collaboration and communication skills.
• It likely consists of UX Designers, User Researchers, Design System Specialists, and potentially UX Engineers, reporting to the Sr. Manager.
• The Sr. Manager will report to a higher-level design or product leader within the AWS Fintech organization.

Methodology:

• Customer Obsession: A core Amazon Leadership Principle, driving all aspects of product development and user experience.
• Data-Driven Decision Making: Heavy reliance on telemetry, analytics, and customer feedback to inform strategy and product improvements.
• AI-First Approach: Integrating AI and ML into research, design, and product features to drive innovation and efficiency.
• Scalability and Operational Excellence: Focus on building processes and products that can scale across a large organization and serve external customers effectively.
• Agile Development: Working in iterative cycles with product and engineering teams to deliver value quickly.

Company Website: https://www.amazon.com | https://aws.amazon.com/

📝 Enhancement Note: The company context emphasizes Amazon's immense scale and its leadership in cloud computing. The "AI-first" and "operational excellence" methodologies are directly tied to the role's responsibilities and suggest a data-intensive, process-oriented work environment. The team's global presence and specific internal tools are important details for candidates to consider.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Senior Manager level within UX Design and Research, indicating a significant leadership position responsible for a team and strategic direction. It sits above individual contributor roles and potentially below Director-level positions. The scope includes managing people, processes, and product impact.

Reporting Structure: The Sr. Manager will likely report to a Director or Principal of UX Design/Research within the AWS Fintech organization. They will manage a team of designers and researchers, and will collaborate closely with Product Management and Engineering leaders at the Senior Manager/Principal level.

Operations Impact: The Sr. Manager's impact is measured through:

• Product Success: Delivering high-quality, user-centric financial products that drive adoption and satisfaction among enterprise users (both internal Amazon teams and external customers).
• Team Development: Building a high-performing, innovative team that attracts and retains top talent, fostering career growth for team members.
• Process Improvement: Establishing and scaling efficient design and research operations that improve productivity, reduce time-to-market, and enhance product quality.
• Strategic Influence: Contributing to the overall AWS Fintech strategy by providing insights from user research and design, influencing product roadmaps, and advocating for customer needs at senior leadership levels.

Growth Opportunities:

• Leadership Advancement: Potential to move into Director-level roles, managing larger teams or broader functional areas within AWS UX.
• Specialization: Deepen expertise in AI/ML product design, enterprise UX strategy, or design operations at scale.
• Cross-Functional Leadership: Transition into broader product leadership roles or strategic initiatives within AWS.
• Mentorship & Coaching: Develop strong coaching skills and become a key mentor for emerging design leaders within Amazon.
• Industry Recognition: Contribute to thought leadership through internal presentations, external speaking engagements, or publications, building personal brand and influence.

📝 Enhancement Note: This section clarifies the seniority and strategic importance of the role. It highlights not just the immediate responsibilities but also the potential career trajectory within Amazon, emphasizing leadership development and impact on business outcomes through both product and process.

🌐 Work Environment

Office Type: This is an on-site role, meaning the Sr. Manager will be expected to work from an Amazon office location, likely in Seattle, Washington. Amazon offices are typically modern, well-equipped corporate environments designed for collaboration.

Office Location(s): Seattle, Washington, United States. Amazon has a significant presence in Seattle, with multiple large office campuses.

Workspace Context:

• Collaborative Spaces: Offices will feature a mix of open-plan workspaces, private offices, meeting rooms, and collaborative zones designed to facilitate teamwork and brainstorming.
• Tools & Technology: Access to high-end workstations, design software, research tools, and internal Amazon systems necessary for performing job duties.
• Team Interaction: Expect regular in-person interactions with direct reports, peers in product and engineering, and opportunities to engage with design and research communities within Amazon.
• Innovation Hubs: Amazon often incorporates spaces designed for innovation, prototyping, and user testing.

Work Schedule: The standard workday is typically 9 AM to 5 PM, but senior management roles often require flexibility to attend meetings across different time zones, respond to urgent issues, and dedicate time to strategic planning and team support, which may extend beyond traditional hours. The emphasis on "A day in the life" suggests a dynamic schedule.

📝 Enhancement Note: The on-site requirement is clearly stated. The description of the workspace focuses on the collaborative and technologically advanced nature of Amazon offices, relevant for a UX leadership role. The note on work schedule flexibility is important for setting realistic expectations for senior management positions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial screening call to assess basic qualifications, experience, and cultural fit.
• Hiring Manager Interview: A deeper dive into your experience, leadership style, and approach to design operations, AI-first strategies, and team management.
• Design Team/Peer Interviews: Interviews with other designers and researchers on the team or within the broader AWS organization. These may involve portfolio reviews and discussions on specific UX challenges.
• Cross-Functional Interviews: Meetings with Product Management and Engineering leaders to assess collaboration skills and understanding of end-to-end product development.
• Senior Leadership Interview: A final interview with a Director or VP-level leader to evaluate strategic thinking, vision, and executive presence.
• Case Study/Presentation: Candidates may be asked to prepare and present a case study based on their portfolio or a hypothetical scenario, demonstrating their problem-solving, strategic thinking, and communication skills.

Portfolio Review Tips:

• Structure for Impact: Organize your portfolio around key achievements and demonstrate your impact, not just your process. Use the STAR method (Situation, Task, Action, Result) for each case study.
• Highlight Leadership & Operations: For this role, emphasize case studies that showcase your leadership in team development, your experience in building and scaling design operations, and your ability to drive AI-first initiatives.
• Quantify Results: Wherever possible, use data and metrics to demonstrate the success of your projects. This includes improvements in user satisfaction, efficiency gains from process optimization, adoption rates, and ROI.
• Showcase Problem-Solving: Clearly articulate the challenges you faced, your thought process, and the solutions you developed, especially for complex enterprise problems.
• Tailor to AWS Fintech: Research AWS Fintech products and the company's customer obsession principle. Frame your experience in a way that resonates with these specific needs and values.

Challenge Preparation:

• Operational Excellence Scenario: Be prepared to discuss how you would establish operational excellence for a UX team, including defining KPIs, implementing telemetry, and ensuring accessibility.
• AI-First Strategy: Have thoughts on how AI can be integrated into UX research and design processes to accelerate discovery or improve outcomes.
• Cross-Functional Collaboration: Prepare examples of how you've successfully partnered with product and engineering teams to deliver complex projects, especially in an agile environment.
• Team Leadership & Development: Be ready to discuss your philosophy on building and leading high-performing design teams, including hiring, mentorship, and performance management.

📝 Enhancement Note: The interview process at Amazon is rigorous and multi-faceted. The focus on portfolio review and potential case studies emphasizes the need for candidates to demonstrate not only design skills but also leadership, operational acumen, and strategic thinking relevant to enterprise-level product development.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Proficiency in industry-standard design tools such as Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator, XD). Figma is increasingly becoming a standard for collaborative design.
• Prototyping Tools: Experience with tools like Figma, InVision, Adobe XD, or Axure RP for creating interactive prototypes.
• User Research Platforms: Familiarity with tools for user interviews, usability testing, surveys, and analytics. This could include tools like UserTesting.com, Qualtrics, SurveyMonkey, or internal Amazon research tools.
• Collaboration Tools: Amazon's internal suite of collaboration tools (e.g., Chime, internal wikis, document sharing platforms), and common external tools like Slack or Microsoft Teams.

Analytics & Reporting:

• Telemetry & Analytics Tools: Experience with tools that provide real-time data on user behavior, task completion, error rates, and system performance. This could involve internal AWS analytics platforms, or common industry tools like Google Analytics (though less common for internal enterprise tools), Amplitude, or Mixpanel.
• Data Visualization Tools: Ability to use tools like Tableau, Power BI, or internal Amazon dashboards to visualize data and present findings to stakeholders.
• Spreadsheet Software: Advanced proficiency in Microsoft Excel or Google Sheets for data analysis and reporting.

CRM & Automation:

• CRM Systems: While not directly a CRM role, understanding how UX design impacts CRM functionality or user flows within financial systems is beneficial. Experience with Salesforce or similar enterprise CRMs could be relevant contextually.
• Project Management Tools: Proficiency in tools like Jira, Confluence, Asana, or Trello for managing design sprints, tracking tasks, and documenting processes.
• Design System Tools: Experience with tools that manage design systems, such as Zeroheight or internal documentation platforms.

📝 Enhancement Note: The technology stack requirements emphasize tools common in enterprise UX design and research, with a strong focus on collaborative platforms and data analysis tools. The mention of "internal Amazon tools" suggests that candidates should be adaptable and willing to learn proprietary systems.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A fundamental Amazon principle. Every decision and design should start with the customer's needs and experience at the forefront. This means deeply understanding the pain points and goals of finance professionals.
• Bias for Action: Encouraging quick decision-making and execution, especially in fast-paced environments. This translates to efficient research and design cycles.
• Invent and Simplify: Continuously seeking innovative solutions and simplifying complex problems, particularly relevant for enterprise financial tools and AI-first approaches.
• Dive Deep: A commitment to thorough analysis and understanding of complex issues, using data and research to inform decisions. This aligns with the emphasis on telemetry and analytics.
• Ownership: Taking responsibility for outcomes, from initial concept through to successful deployment and adoption, including the development of the team.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where UX designers and researchers work hand-in-hand with product managers, engineers, and business stakeholders.
• Data-Informed Dialogue: Discussions and decisions are heavily influenced by data, research findings, and operational metrics.
• Constructive Feedback: A culture that values direct, constructive feedback to drive continuous improvement, both for individuals and for processes.
• Knowledge Sharing: Encouraging the sharing of best practices, learnings, and insights across the team and broader organization to foster collective growth.

📝 Enhancement Note: The team culture is deeply rooted in Amazon's Leadership Principles. Candidates should be prepared to demonstrate how they embody these principles in their daily work, leadership style, and approach to operations and design.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Scale and Complexity: Managing design and research operations for large, complex enterprise financial products within a massive organization like Amazon presents significant challenges in coordination, communication, and execution.
• Driving AI-First Adoption: Successfully integrating AI/ML into research and design processes requires overcoming technical hurdles, user adoption barriers, and ensuring ethical AI practices.
• Balancing Leadership and Hands-on Work: As a Sr. Manager, effectively balancing team leadership, strategic planning, and direct contribution to high-priority projects requires strong time management and delegation skills.
• Influencing Without Authority: Building consensus and driving adoption of design standards and processes across multiple finance teams requires strong influence and partnership-building capabilities.
• Measuring Impact in Enterprise: Clearly demonstrating the tangible business impact of UX improvements on complex financial tools can be challenging, requiring robust measurement strategies.

Learning & Development Opportunities:

• Advanced AI/ML UX: Deepen expertise in designing user experiences for cutting-edge AI and ML-powered financial technologies.
• Enterprise Scalability: Gain unparalleled experience in scaling design systems, processes, and teams within a global enterprise context.
• Strategic Business Acumen: Develop a deeper understanding of financial operations, CFO-level decision-making, and the strategic impact of technology on enterprise businesses.
• Leadership Development Programs: Amazon offers numerous internal programs to hone leadership skills, strategic thinking, and executive presence.
• Industry Exposure: Opportunities to engage with industry peers, present at conferences, and stay abreast of the latest trends in UX, AI, and Fintech.

📝 Enhancement Note: This section provides candidates with a realistic view of potential obstacles and highlights how overcoming them leads to significant professional growth and skill development.

💡 Interview Preparation

Strategy Questions:

• "Describe your experience building and scaling design operations, particularly with an AI-first approach. What metrics did you use to measure success, and what were the key challenges?"
• "How would you approach establishing operational excellence for a UX team within AWS Fintech, focusing on telemetry and real-time analytics for enterprise products?"
• "Walk us through a complex enterprise product you delivered from concept to launch. What was your role, what were the key UX decisions, and what was the measurable impact?"
• "How do you foster a culture of customer obsession and bias for action within a design and research team?"

Company & Culture Questions:

• "Why are you interested in AWS Fintech and Amazon specifically? How do your values align with Amazon's Leadership Principles?"
• "Describe a time you had to influence stakeholders across multiple organizations to adopt a new design standard or process. How did you build that partnership?"
• "How do you ensure accessibility compliance (WCAG AA/AAA) is a core part of the product development lifecycle for enterprise software?"

Portfolio Presentation Strategy:

• Focus on Leadership & Operations: Select 2-3 case studies that best showcase your leadership in managing teams, building scalable processes, and driving operational excellence, ideally with an AI component.
• Quantify Everything: For each case study, clearly articulate the problem, your solution, your role, and the quantifiable results (e.g., X% improvement in task completion, Y% reduction in errors, Z% increase in adoption).
• Structure for Clarity: Use a clear narrative: Problem -> Your Strategy/Approach -> Execution -> Results. Highlight your direct contributions and leadership.
• Address the "Why": Be prepared to explain the strategic thinking behind your design decisions and process implementations.
• Engage and Discuss: Be ready for questions that probe deeper into your decision-making, challenges, and how you would apply your experience to AWS Fintech challenges.

📝 Enhancement Note: Interview preparation for Amazon roles is critical. Candidates should focus not only on design skills but also on demonstrating leadership, strategic thinking, operational capability, and alignment with Amazon's core principles.

📌 Application Steps

To apply for this Sr. Manager UX Design position:

• Submit Your Application: Visit the Amazon Jobs website and submit your application through the provided link. Ensure your resume highlights your experience in UX leadership, design operations, AI-first strategies, and enterprise product delivery.
• Curate Your Portfolio: Prepare a compelling portfolio that showcases 2-3 in-depth case studies. Prioritize examples demonstrating your ability to lead teams, build scalable design operations, and drive AI-integrated product experiences with quantifiable results.
• Research AWS Fintech: Familiarize yourself with AWS Fintech products (Uno, QuickSuite, AMPS), Amazon's Leadership Principles, and the company's customer obsession philosophy. Understand the challenges and opportunities in enterprise financial UX.
• Practice Your Presentation: Rehearse presenting your portfolio and preparing for potential case study challenges. Focus on clearly articulating your thought process, strategic approach, and the impact of your work.
• Prepare for Behavioral Questions: Anticipate questions related to leadership, collaboration, problem-solving, and your experience with data and operational metrics. Use the STAR method to structure your answers.

⚠️ 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.

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