Product Designer

📍 Job Overview

Job Title: Product Designer

Company: McKesson

Location: Irving, TX, USA - 6555 North State Highway 161 (P001)

Job Type: Full time

Category: Product Design / UX/UI

Date Posted: 2026-08-27

Experience Level: Mid-level (4+ years)

Remote Status: Hybrid

🚀 Role Summary

• Drive the end-to-end product design process for AI-enabled user experiences across critical healthcare technology platforms, including Pharmacy Management and Inventory Optimization.

• Leverage human-centered design principles, strategic product thinking, and advanced AI prototyping capabilities to deliver scalable and impactful product solutions.

• Partner closely with Product, Design, and Engineering Leadership to shape product strategy, advocate for AI integration, and ensure seamless design artifacts that enhance customer experience.

• Define and govern cross-portfolio design systems, ensuring consistency in components, accessibility standards, and interaction patterns to elevate usability and brand cohesion.

• Utilize Figma and other AI-powered design tools to augment design efficiency, drive team productivity, and foster innovation in AI-led design workflows.

📝 Enhancement Note: This role is positioned within McKesson's Pharmacy System (MPS) business unit, part of the Commercial Strategy & Innovation (CSI) organization. The emphasis on "AI-enabled" and "AI innovation" suggests a forward-thinking approach to design, integrating artificial intelligence into both the design process and the end-user product experience. The "minimal supervision" and "driving consistency, scalability, and usability across a complex portfolio" indicate a mid-level to senior individual contributor role with significant autonomy and responsibility.

📈 Primary Responsibilities

• Execute the complete product design lifecycle for AI-enabled web and mobile experiences, from initial discovery and user research through to final launch and post-launch optimization.

• Translate complex customer needs and business objectives into intuitive user workflows, interaction models, and scalable product designs that align with overarching product strategy.

• Conduct comprehensive qualitative and quantitative user research, synthesizing insights and behavioral data into actionable design recommendations and validated concepts.

• Define and maintain robust, cross-portfolio design systems, ensuring adherence to accessibility standards, consistent interaction patterns, and reusable frameworks for AI-driven product recommendations.

• Proactively explore and integrate emerging AI trends and tooling within the design process to enhance efficiency, improve design quality, and drive team productivity.

• Facilitate cross-functional discovery sessions, design workshops, and strategic working sessions to foster alignment and collaboration with Product, Engineering, Customer Success, and other commercial business leaders.

• Develop and deliver compelling visual presentations and storytelling that effectively communicate technical insights and design recommendations to executive leadership, influencing strategic decision-making.

• Create and operationalize AI-enabled design workflows, agents, and automation capabilities to accelerate product design velocity and enhance overall product development efficiency.

📝 Enhancement Note: The responsibilities highlight a strong focus on AI integration, both in the design process (e.g., AI-enabled prototyping, AI-driven workflows) and in the product features themselves (e.g., AI-enabled product experiences, AI-driven reusable frameworks). The emphasis on "end-to-end design" and "minimal supervision" suggests this role requires significant autonomy and a comprehensive understanding of the product development lifecycle. The mention of "Pharmacy Management, Clinical Service and Inventory Optimization technology products" indicates a domain-specific application of design skills within the healthcare and supply chain sectors.

🎓 Skills & Qualifications

Education: Bachelor's degree in Human-Computer Interaction, Graphic Design, Visual Design, Industrial Design, Information Architecture, Information Systems, Computer Science, or a related field; or equivalent practical experience.

Experience: 4+ years of progressive experience in product design, specifically within enterprise, platform, or SaaS environments, with a proven track record of executing end-to-end design initiatives from discovery to launch.

Required Skills:

• 4+ years of progressive experience in product design for enterprise, platform, SaaS, or digital experiences.

• Proven experience executing end-to-end product design for complex technical product portfolios in enterprise, platform, or SaaS environments from discovery to launch.

• High proficiency in Figma, including AI-enabled prototyping, design system architecture, governance, component libraries, and token management.

• Expertise in AI-enabled product design, encompassing human-AI interaction patterns, prompt design, rapid prototyping, UX research augmentation, content generation, AI-assisted workflows, and responsible AI principles.

• Ability to craft scalable design frameworks, design standards, and interaction patterns, with sound judgment on balancing design consistency with product-specific customization.

• Exceptional cross-functional facilitation, collaboration, and stakeholder management skills, with demonstrated experience driving discovery sessions, design workshops, and strategic working sessions to achieve alignment with product, engineering, customer success, and other commercial leaders.

• Strong communication, storytelling, and visual presentation skills, with the ability to translate technical insights into executive-ready narratives that drive strategic decisions.

• Experience creating and operationalizing AI-enabled design workflows, agents, and automation capabilities that accelerate product design velocity. Preferred Skills:

• Experience scaling design systems across complex, multi-product platform organizations where seamless product design is a critical outcome.

• Deep understanding of AI-enabled design-to-code workflows, including automated prototyping, code generation, and the integration of design systems into product development practices.

• Familiarity with technical product concepts, cloud platforms, data ecosystems, and API-driven models.

• Prior experience in healthcare, pharmacy operations, supply chain, or predictive analytics domains.

📝 Enhancement Note: The emphasis on "AI-enabled" skills, particularly in Figma and within the broader design process, is a critical differentiator. The requirement for "AI-enabled design workflows, agents, and automation capabilities" points to a need for candidates who can not only use AI tools but also implement AI-driven processes within the design team. The preferred experience in healthcare and pharmacy operations suggests domain knowledge would be highly advantageous.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design case studies demonstrating your involvement from problem definition and user research through to final design solutions and their impact.

• Highlight specific examples of AI integration within your design process or the product itself, detailing the problem solved and the AI's contribution to the solution.

• Include detailed examples of your work with design systems, illustrating how you've contributed to or utilized component libraries, style guides, and design tokens for consistency and scalability.

• Present case studies that demonstrate your proficiency with Figma, including advanced prototyping techniques and how AI features within Figma were leveraged.

• Provide evidence of your ability to conduct and synthesize user research, and how those insights directly informed your design decisions and product outcomes.

• Quantify the impact of your designs using relevant metrics (e.g., user engagement, task completion rates, efficiency gains, customer satisfaction) where possible. Process Documentation:

• Demonstrate experience in defining and documenting design processes, particularly those incorporating AI tools and methodologies.

• Showcase how you've contributed to or established design system governance, including processes for component updates, version control, and stakeholder buy-in.

• Illustrate your approach to user research documentation, including research plans, synthesis reports, and user journey maps.

• Provide examples of how you've documented and communicated design specifications for development handoff, ensuring clarity and alignment.

📝 Enhancement Note: Given the strong emphasis on AI and design systems, portfolios should clearly articulate the candidate's experience in these areas. Specifically, showcasing how AI was leveraged to enhance the design process or the final product, and providing examples of contributions to scalable design systems, will be crucial. Demonstrating an understanding of how to govern and maintain these systems for complex product portfolios is also key.

💵 Compensation & Benefits

Salary Range: $111,700 - $186,100 USD per year.

Benefits:

• Competitive compensation package.

• Annual bonus opportunities.

• Long-term incentive opportunities.

• Comprehensive benefits package (details available via the provided link).

Working Hours: Standard full-time hours, likely around 40 hours per week. The hybrid arrangement allows for flexibility.

📝 Enhancement Note: The provided salary range is competitive for a mid-level to senior Product Designer role in a major metropolitan area like Irving, TX, especially within a large enterprise like McKesson. The inclusion of annual bonus and long-term incentive opportunities indicates a performance-driven compensation structure. The specific mention of a hybrid arrangement with a minimum of two days in the office for the DFW area location is a key detail for candidates considering this role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology and Services. McKesson is a Fortune 10 company deeply embedded in the healthcare ecosystem, providing critical products and services that enhance the accessibility and affordability of quality care.

Company Size: McKesson is a large enterprise, indicated by its Fortune 10 status and extensive global operations. This size implies a structured environment with established processes, significant resources, and opportunities for broad impact.

Founded: While the founding date is not explicitly stated, McKesson is a long-established company with a history of innovation and growth in the healthcare sector. This longevity suggests stability and a deep understanding of the industry's complexities.

Team Structure:

• The Product Designer will operate within the McKesson Pharmacy System (MPS) business unit, which is part of the larger Commercial Strategy & Innovation (CSI) organization.

• Reporting to the VP of Product, this role will collaborate closely with Product Managers, Engineering Leads, Data Scientists, Customer Success Managers, and other commercial business stakeholders.

• The team structure likely involves a matrixed approach, with product designers working on specific product lines or feature sets while adhering to broader organizational design standards and strategies. Methodology:

• The team emphasizes human-centered design practices, focusing on translating user needs into intuitive and scalable product solutions.

• There is a strong push towards AI integration, both in augmenting the design process (AI-led design) and in developing AI-enabled product features.

• A data-driven approach is expected, with user research and metrics informing design decisions and product outcomes.

• Collaboration and cross-functional partnership are key to ensuring alignment and successful product delivery across complex initiatives.

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

📝 Enhancement Note: Operating within a large, established healthcare company like McKesson means designers will likely work on products with significant scale and impact, touching many aspects of healthcare delivery. The integration of MPS within CSI suggests a strategic focus on innovation and commercial growth. The emphasis on AI suggests the company is investing in cutting-edge technology to drive its product development.

📈 Career & Growth Analysis

Operations Career Level: This role is a mid-level Product Designer position, requiring 4+ years of experience. It involves executing end-to-end design initiatives with minimal supervision, shaping product design and strategy, and advocating for design innovation. The scope includes driving consistency across a complex portfolio, indicating a significant level of responsibility beyond individual feature design.

Reporting Structure: The Product Designer reports to the VP of Product. This direct reporting line to senior leadership suggests visibility and influence on product strategy and design direction.

Operations Impact: The Product Designer's work will directly influence the usability, efficiency, and customer adoption of critical healthcare technology products, including Pharmacy Management, Clinical Services, and Inventory Optimization. By creating seamless, AI-enabled experiences, this role contributes to McKesson's mission of making quality care more accessible and affordable, thereby driving customer value and business outcomes.

Growth Opportunities:

• Specialization: Deepen expertise in AI-led design, human-AI interaction patterns, and specific healthcare technology domains.

• Leadership: Potential to grow into Senior Product Designer roles, leading design initiatives for larger product areas or mentoring junior designers.

• Strategic Influence: Opportunity to influence product roadmaps and company-wide design strategy, particularly in the adoption of AI and new design methodologies.

• Cross-functional Mobility: Develop strong relationships and understanding across Product, Engineering, and Commercial teams, potentially opening doors to Product Management or Strategy roles.

• Skill Development: Continuous learning opportunities in emerging AI technologies, design tools, and healthcare industry trends.

📝 Enhancement Note: The reporting structure to a VP of Product signifies an opportunity for significant influence. The growth path likely involves moving towards more strategic design leadership, potentially managing design initiatives or even teams, and contributing to the broader design vision for McKesson's technology products. The emphasis on AI presents a unique opportunity to become a leader in this rapidly evolving field within the healthcare sector.

🌐 Work Environment

Office Type: The role is designated as Hybrid, with a specific mention of the Las Colinas office in the DFW area. This implies a modern office environment designed to support both focused individual work and collaborative team activities.

Office Location(s): Irving, TX, USA - 6555 North State Highway 161. The company also lists multiple other states (MI, VA, FL, IL, MA, CA, AZ, NJ, OH, WI, CO, PA, TX, NC, NY, IN) as potential locations, suggesting a distributed workforce or multiple office hubs. For this specific role, Irving, TX is the primary location.

Workspace Context:

• The hybrid model allows for flexibility, balancing in-office collaboration (minimum two days per week in Irving) with remote work.

• The office environment is expected to be equipped with the necessary technology and tools to support design work and collaboration.

• Opportunities for interaction with product managers, engineers, and other designers are inherent in the role, fostering a collaborative design culture.

Work Schedule: Standard full-time hours (approximately 40 hours per week). The hybrid arrangement provides flexibility in how and where these hours are completed, within the defined parameters.

📝 Enhancement Note: The hybrid work model, specifically the requirement of 2 days in the Las Colinas office, is a key aspect of the work environment. This suggests a company culture that values in-person collaboration for certain activities while embracing the benefits of remote flexibility for others. Candidates should be prepared for potential travel for cross-site collaboration, as mentioned in the job description.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review applications and resumes, focusing on relevant experience, skills, and alignment with the role's requirements, especially AI and design system expertise.

• Portfolio Presentation: Candidates will likely be asked to present a portfolio showcasing their best work. This is a critical step where you'll walk through 2-3 case studies, detailing your process, contributions, and the impact of your designs. Be prepared to discuss your specific role in each project.

• Technical/Skills Interview: This may involve discussions about your design process, problem-solving approaches, experience with Figma and AI tools, and how you handle design challenges. You might be given a small design exercise or asked to critique an existing design.

• Cross-functional Interviews: You'll likely meet with Product Managers, Engineering Leads, and potentially other designers to assess your collaboration style, communication skills, and ability to work effectively with diverse teams.

• Final Interview: This could be with the VP of Product or other senior leaders to assess strategic thinking, cultural fit, and overall potential impact.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 diverse case studies that best represent your skills in end-to-end product design, AI integration, and design systems. Prioritize projects that align with enterprise SaaS and healthcare technology if possible.

• Tell a Story: For each case study, clearly articulate the problem statement, your role and responsibilities, the design process you followed (emphasizing research and AI utilization), key challenges faced, the solutions you designed, and the measurable outcomes or impact.

• Highlight AI & Design Systems: Explicitly call out your experience with AI-enabled design, Figma's AI features, and your contributions to or use of design systems. Explain how these elements improved the design process or product.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs. Focus on business outcomes and user benefits.

• Visual Clarity: Ensure your portfolio is visually appealing, well-organized, and easy to navigate. Use high-quality mockups and prototypes.

Challenge Preparation:

• AI Design Scenarios: Be prepared for questions or exercises related to designing for AI-powered features, human-AI interaction, or using AI tools to accelerate design.

• Design System Thinking: Practice articulating your approach to building, maintaining, and scaling design systems. Consider how you'd ensure consistency and adoption across a large product portfolio.

• Problem-Solving: Think about complex design problems you've encountered in enterprise or SaaS environments and how you approached solving them. Focus on structured problem-solving methodologies.

• Collaboration & Communication: Prepare examples of how you've successfully collaborated with product managers and engineers, managed stakeholder feedback, and communicated design decisions effectively.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to integrate AI into design and your experience with robust design systems. Be ready to demonstrate practical application of these skills through your portfolio and during discussions. The emphasis on cross-functional collaboration and executive communication is also paramount for a role reporting to a VP.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: This is a mandatory tool, with a specific emphasis on its AI-enabled prototyping capabilities, design system architecture, component libraries, and token management. Candidates must demonstrate advanced proficiency.

• AI Design Tools: Proficiency in other AI-powered design tools and AI-assisted workflows is expected, supporting design efficiency and quality. This may include AI for content generation, UX research augmentation, or prompt design.

Analytics & Reporting:

• While not explicitly listed as primary tools, experience with analytics platforms (e.g., Google Analytics, Adobe Analytics, Mixpanel) and data visualization tools (e.g., Tableau, Power BI) would be beneficial for understanding user behavior and measuring design impact. CRM & Automation:

• Familiarity with enterprise CRM systems (e.g., Salesforce) and workflow automation tools might be relevant given the enterprise context, though not explicitly required for the design role itself. Understanding how designs integrate with backend systems is key.

📝 Enhancement Note: Figma is the central design tool, with a significant emphasis on its AI features and robust design system capabilities. Candidates should be ready to showcase their mastery of Figma for complex enterprise applications and AI-driven workflows. Familiarity with broader cloud platforms, data ecosystems, and API-driven models is also highlighted as beneficial, suggesting an understanding of the technical landscape in which the designs will be implemented.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering tangible value to customers and achieving business outcomes through well-designed products.

• Customer-Centricity: Commitment to understanding and addressing customer needs through human-centered design principles.

• Innovation: Encouraging the exploration and adoption of new technologies, particularly AI, to enhance design processes and product capabilities.

• Collaboration: Fostering a teamwork environment where cross-functional partners work together to achieve common goals.

• Excellence & Quality: Striving for high standards in design execution, usability, and consistency across the product portfolio.

• Efficiency: Leveraging tools and processes, including AI, to optimize design velocity and productivity.

Collaboration Style:

• Cross-functional Integration: The role requires seamless collaboration with Product Management, Engineering, Customer Success, and other commercial teams to ensure design solutions are aligned with business objectives and technical feasibility.

• Data-Informed: Design decisions are expected to be informed by user research, analytics, and performance metrics.

• Open Communication: Encouraging open dialogue, feedback exchange, and transparent communication throughout the design and development process.

• Shared Ownership: Working collaboratively to ensure successful product launches and ongoing optimization.

📝 Enhancement Note: McKesson's culture appears to value both innovation (especially with AI) and a results-oriented approach grounded in customer needs and business impact. The emphasis on collaboration across diverse functions is critical for success in a large enterprise environment. Candidates should demonstrate how they embody these values in their work.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Effectively: Navigating the complexities of designing for and with AI, ensuring responsible and user-friendly implementations, and staying ahead of rapid AI advancements.

• Scaling Design Systems: Maintaining consistency and usability across a large, complex portfolio of products while allowing for necessary product-specific customization.

• Cross-Functional Alignment: Bridging communication gaps and achieving consensus among diverse stakeholders (Product, Engineering, Business) with potentially competing priorities.

• Enterprise Complexity: Designing for intricate workflows and diverse user needs within a large, established healthcare organization.

• Pace of Innovation: Keeping pace with evolving AI technologies and their application in product design within the dynamic healthcare industry.

Learning & Development Opportunities:

• AI Design Specialization: Opportunities to become a subject matter expert in AI-human interaction, prompt engineering for design, and AI-driven design workflows.

• Advanced Figma Skills: Deepening expertise in Figma's cutting-edge features, including AI integrations and advanced design system management.

• Healthcare Domain Expertise: Gaining in-depth knowledge of healthcare operations, pharmacy management, and supply chain intricacies to inform design solutions.

• Leadership Development: Potential for growth into senior design roles, team leadership, or strategic design consulting within McKesson.

• Industry Engagement: Opportunities to attend conferences, workshops, and training focused on AI, UX design, and healthcare technology.

📝 Enhancement Note: The primary challenges revolve around the cutting-edge nature of AI integration and the inherent complexities of large-scale enterprise design. The growth opportunities are significant for individuals who can master these challenges, positioning them as leaders in AI-driven design within the healthcare sector.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex product you designed from end-to-end. What was the strategy, your role, and the outcome?" (Focus on problem framing, user research, AI integration, and measurable impact).

• "How have you leveraged AI tools to improve your design process or the final product? Provide a specific example." (Be ready to discuss prompt design, AI-assisted workflows, or AI-driven features).

• "How do you approach building or scaling a design system for a complex enterprise product suite? What are the key challenges and how do you address them?" (Highlight governance, consistency vs. customization, and adoption strategies).

• "Walk us through a time you had to align diverse stakeholders (Product, Engineering, Business) on a design decision. What was your approach and the result?" (Emphasize communication, facilitation, and data-driven persuasion). Company & Culture Questions:

• "What interests you about McKesson and our mission in healthcare?" (Research McKesson's impact and connect it to your passion for design).

• "How do you see AI transforming product design in the healthcare industry?" (Showcase your forward-thinking perspective and understanding of the domain).

• "Describe your ideal collaborative environment. How do you work with product managers and engineers?" (Align your style with the team's emphasis on cross-functional partnership). Portfolio Presentation Strategy:

• Structure: Begin with a brief overview of your career and design philosophy. Then, present 2-3 detailed case studies. For each:

  • Problem: Clearly define the user problem or business challenge.
  • Your Role: Specify your exact contributions and responsibilities.
  • Process: Detail your steps, emphasizing research, ideation, AI integration, prototyping, and testing.
  • Solution: Showcase the final designs with clear visuals.
  • Impact: Quantify the results and lessons learned.

• AI & Design Systems Focus: Explicitly highlight how AI was used and how design systems were leveraged or contributed to in each case study.

• Storytelling: Frame your presentations as compelling narratives that demonstrate your problem-solving skills, strategic thinking, and ability to drive impact.

• Q&A Readiness: Anticipate questions about your design choices, trade-offs, and how you handle feedback.

📝 Enhancement Note: Prepare to articulate your experience with AI in design and your mastery of design systems with concrete examples. Your ability to connect your design work to business outcomes and demonstrate strong collaborative skills will be key differentiators.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the McKesson careers portal via the provided job URL.

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience with AI-enabled design, Figma, design systems, and end-to-end product design for enterprise/SaaS platforms. Ensure your portfolio prominently features case studies demonstrating these specific skills.

• Resume Optimization: Use keywords from the job description such as "Product Designer," "AI-enabled design," "Figma," "design systems," "UX research," "enterprise," and "SaaS." Quantify your achievements with specific metrics where possible.

• Interview Preparation: Practice articulating your design process, especially your approach to AI integration and design systems. Prepare to present your portfolio case studies compellingly, focusing on problem-solving, collaboration, and measurable impact.

• Company Research: Familiarize yourself with McKesson's mission, values, and recent innovations, particularly in technology and AI. Understand the healthcare industry context and McKesson's role within it to demonstrate genuine interest and cultural alignment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with McKesson before making application decisions. Pay range and benefits are subject to company policy and individual qualifications.