Principal UI/UX Designer - Analytical Products (Minneapolis preferred, remote eligible)

通用磨坊股份有限公司•Minneapolis, MN

6d•$149,500 - $249,300•Remote

About The Position

The Principal UX/UI Designer – Analytics Products serves as the enterprise design expert for analytics experiences at General Mills. The role owns the overall user experience for analytics products across traditional business intelligence and emerging AI-enabled workflows, shaping how dashboards, guided analytics, conversational experiences, AI summarization, and insight-to-action journeys work together. The designer establishes experience strategy and design standards, partnering with product, engineering, BI, data science, and business teams to deliver intuitive, trustworthy, scalable experiences aligned with how users make decisions. This position focuses on simplifying complex, information-dense enterprise workflows; creating reusable templates, patterns, and design-system guidance; and ensuring AI-enabled analytics is transparent, explainable, responsible, and supportive of human decision-making. The designer leads discovery, workflow mapping, prototyping, usability testing, and iterative refinement, and influences product roadmaps, priorities, and cross-functional design decisions. Minneapolis is preferred, but remote work is eligible within the United States. Applicants must already be authorized to work in the U.S.; visa sponsorship and international relocation or remote arrangements are not available.

Requirements

Bachelor’s degree in Human-Computer Interaction, Product Design, UX/UI Design, Interaction Design, Psychology, Information Systems, Computer Science, or a related field.
8 or more years of experience in UX, UI, product design, or interaction design, with increasing responsibility for complex digital products.
Demonstrated expertise designing analytics, dashboard, data visualization, or other data-rich product experiences.
Familiarity with conversational analytics, natural-language querying, AI summarization, or agent-assisted workflow patterns.
Experience designing AI-enabled, conversational, assistive, or adaptive product experiences.
Ability to simplify complex workflows and design intuitive user experiences for information-dense products.
Deep proficiency in Figma or similar technology, wireframing, prototyping, interaction design, and modern design-system practices.
Strong communication and stakeholder-influence skills, including explaining design rationale and influencing without direct authority while partnering with product managers, engineering, and technical stakeholders.
Portfolio demonstrating strong visual craft, systems thinking, workflow design, and measurable product impact.
Must be currently authorized to work in the U.S.; General Mills will not sponsor U.S. work visas.
Must meet the minimum age qualification of 18 years.

Nice To Haves

10 or more years of relevant experience across product design, enterprise UX, analytics products, or adjacent digital product roles.
Strong experience designing enterprise software, SaaS products, internal tools, or workflow-heavy applications with AI-enabled, conversational, assistive, or adaptive product tools.
Experience building or scaling enterprise design systems and reusable UX standards across multiple products or teams.
Strong user research and usability-testing background, especially for enterprise or internal products with complex workflows.
Familiarity with front-end development concepts and technical constraints that influence digital product design decisions.
Experience working in a matrixed, global enterprise environment.
Experience in analytics, BI, data platforms, semantic layers, governed datasets, or AI-for-BI environments.

Responsibilities

Own end-to-end experience strategy, UX, and UI design for analytics products, including dashboards, self-service analytics, AI-assisted summarization, conversational analytics, and insight exploration workflows.
Define how AI and traditional analytics experiences work together, including data exploration, natural-language questions, review of AI-generated outputs, deeper analysis, and action-taking workflows.
Design intuitive workflows for complex, information-dense enterprise experiences, simplifying technical concepts and reducing friction for business users.
Create reusable templates, design patterns, and standards for analytics UX, including navigation, data visualization, information architecture, conversational patterns, prompt interactions, feedback states, trust indicators, and error handling.
Partner with product managers, BI leaders, engineers, data scientists, and business stakeholders to translate analytics and AI capabilities into useful, usable product experiences.
Lead user discovery, workflow mapping, prototyping, usability testing, and iterative refinement to ensure products solve user problems and fit day-to-day decision-making.
Shape AI-enabled analytics experience strategy, emphasizing trust, explainability, transparency, confidence states, human-in-the-loop interactions, and responsible presentation of AI-generated insights.
Design in-experience guardrails to support responsible user actions arising from AI-for-BI interactions.
Influence roadmaps, prioritization, and cross-functional design decisions to align user needs, product vision, and enterprise standards.
Create and evolve design-system guidance so analytics teams can scale high-quality experiences consistently across platforms and use cases.
Serve as an internal thought leader, advising teams on analytics product UX, UI, workflow design, and user-centered product development.