This is OUR story... and YOUR next chapter
At HCA Healthcare, our Digital Transformation and Innovation (DT&I) team is redefining what's possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters
What you will accomplish in this role
We are looking for a Staff Product Designer who combines strong product design craft, rigorous research discipline, AI-enabled prototyping capability, and enterprise healthcare workflow fluency. This person will lead ambiguous, high-impact product opportunities across early-stage innovation concepts and evolving enterprise products, moving from discovery and problem framing through research, proto@type validation, design execution, and measurable product improvement.
The ideal candidate is a high-judgment generalist: strong enough in research to uncover the real problem, strong enough in design to create excellent product experiences, technical enough to proto@type and collaborate effectively with engineering, and strategic enough to influence product direction, stakeholder alignment, adoption, and business outcomes. This role will work closely with product, engineering, data, operations, implementation, change-management, and business partners to design human-centered digital experiences across web, mobile, data-rich, and AI-assisted workflows.
What You will do:
Lead end-to-end product design for complex healthcare, operational, administrative, and enterprise transformation initiatives, from ambiguous opportunity spaces through research, concept definition, prototyping, validation, and production-ready experience design.
Plan and conduct mixed-methods user research, including stakeholder interviews, @contextual inquiry, workflow observation, usability testing, concept testing, surveys, research synthesis, and analysis of qualitative and quantitative signals.
Translate research findings into clear product strategy artifacts, including opportunity maps, journey maps, service blueprints, workflow models, role/persona definitions, task flows, product principles, and prioritized experience recommendations.
Design AI-enabled and data-rich product experiences that help users find, synthesize, evaluate, and act on complex information, with particular attention to source attribution, trust, explainability, human review, confidence signals, error states, and workflow integration.
Build interactive, testable proto@types using Lovable to accelerate learning, validate assumptions, align stakeholders, and de-risk product decisions before full engineering investment.
Partner closely with product owners, engineers, data scientists, operational leaders, legal/compliance partners, implementation teams, change-management partners, and business stakeholders to shape product direction and ensure solutions are feasible, usable, accessible, adoptable, and operationally realistic.
Contribute to reusable UX patterns, proto@type components, interaction standards, accessibility practices, and AI/product experience guidelines that improve consistency, reduce rework, and help teams scale high-quality experiences across products and platforms.
Use product analytics, telemetry, research findings, adoption data, user feedback, and business outcomes to evaluate whether shipped experiences are delivering measurable value, then recommend improvements based on evidence.
Facilitate workshops, design critiques, discovery sessions, journey-mapping exercises, and executive/stakeholder alignment conversations that clarify problems, frame tradeoffs, co-create solutions, and move teams from opinion-based debate to evidence-based product decisions.
Advocate for accessible, inclusive, human-centered design practices throughout the product lifecycle, including plain-language content, usability standards, accessibility reviews, and design decisions that account for different user roles, environments, workflows, and levels of technical comfort.
What qualifications you will need:
Bachelor's degree in Design, Human-Computer Interaction, Human Factors, Psychology, Cognitive Science, Computer Science, Informatics, Healthcare Administration, or a related field required. Equivalent professional experience may be considered where permitted.
Minimum of 8 years of experience in product design, UX design, service design, design research, human factors, product discovery, or a related digital product field.
Demonstrated ability to lead ambiguous, complex product work from discovery through delivery, including research planning, synthesis, interaction design, prototyping, validation, and production collaboration.
Strong portfolio showing evidence of research-informed product design, including examples of how user insights, workflow analysis, product data, experimentation, or usability findings changed product direction.
Experience designing enterprise, healthcare, operational, workflow-heavy, data-rich, AI-enabled, or regulated digital products preferred.
Experience conducting or deeply partnering on mixed-methods research, including qualitative interviews, @contextual inquiry, usability testing, concept testing, surveys, analytics review, and research synthesis.
Experience designing AI-assisted, natural-language, search, knowledge-management, workflow automation, decision-support, data visualization, or data synthesis experiences strongly preferred.
Fluency with modern design and prototyping tools such as Lovable and related platforms; experience with AI-assisted prototyping, no-code/low-code platforms, or rapid application prototyping tools preferred.
General working knowledge of front-end technologies such as HTML, CSS, JavaScript, React, component-based development, design tokens, Git, or API-based prototyping preferred, but not required.
Experience contributing to design systems, reusable product patterns, accessibility standards, and scalable product experience guidelines.
Experience working with product managers, engineers, data scientists, researchers, operational leaders, change managers, implementation teams, and senior stakeholders in a cross-functional environment.
Up to 25% Travel Required.
Preferred training, certification, or demonstrated professional development in one or more of the following areas:
Human-centered design
Design research
Human factors
Service design
Accessibility and inclusive design
Product analytics
AI product design
Healthcare technology
Enterprise software design
Design systems
Knowledge of
Human-centered design, product discovery, service design, interaction design, information architecture, accessibility, design systems, and research methods.
Mixed-methods user research, including qualitative research, @contextual inquiry, usability testing, survey design, research synthesis, and triangulation with product analytics.
AI-enabled product experience patterns, including conversational interfaces, retrieval-augmented experiences, source attribution, confidence and uncertainty communication, human-in-the-loop review, AI error handling, and trust calibration.
Enterprise healthcare or similarly complex regulated environments, including multi-role workflows, operational constraints, change impact, privacy/security considerations, and adoption barriers.
Product measurement, including task success, time to value, adoption, satisfaction, output quality, usage patterns, and post-launch learning loops.
Accessibility standards and inclusive design practices, including strong working knowledge of WCAG 2.2 and practical approaches to designing usable experiences for diverse users and environments.
Skills
Conducts rigorous research by framing research questions, selecting appropriate methods, identifying representative users, moderating sessions, synthesizing findings, and translating insights into product decisions.
Designs complex workflows by breaking ambiguous processes into roles, tasks, decisions, handoffs, constraints, dependencies, and failure points, then converting that understanding into usable product experiences.
Creates realistic proto@types that test desirability, usability, feasibility, workflow fit, AI-output quality, accessibility, and stakeholder alignment.
Communicates design rationale clearly to executives, product leaders, engineers, operational partners, implementation teams, and frontline users.
Uses qualitative and quantitative evidence to improve product direction.
Moves fluidly between enterprise strategy, service model, workflow design, interaction design, content, states, edge cases, and reusable component patterns.
Facilitates workshops and cross-functional conversations that help teams align on problems, tradeoffs, product bets, and evidence-based decisions.
Partners effectively with engineering and data teams to understand technical constraints, explore implementation options, and make pragmatic product decisions without compromising user value.
Abilities
Ability to operate in ambiguity without waiting for perfect inputs, complete requirements, or fully defined solutions.
Ability to identify when a problem needs research, when it needs prototyping, when it needs stakeholder alignment, and when it needs production-quality design execution.
Ability to challenge weak product assumptions with evidence rather than preference, hierarchy, or taste.
Ability to balance speed with rigor, especially in early-stage innovation and AI-enabled product work.
Ability to design for adoption, not just usability, by understanding user behavior, workflow disruption, field readiness, communication needs, training implications, and organizational change barriers.
Ability to collaborate with engineering without becoming merely an engineering support function.
Ability to synthesize complex, conflicting information into clear product direction and actionable design recommendations.
Ability to influence without direct authority across product, design, engineering, operations, business, and implementation stakeholders.
Behavioral Characteristics
Evidence-driven: Makes product recommendations based on research, user behavior, workflow realities, operational @context, and measurable outcomes.
Systems-minded: Understands how products fit into workflows, teams, policies, data flows, implementation plans, change-management needs, and broader enterprise transformation efforts.
Technically curious: Builds enough understanding of AI, data, APIs, front-end constraints, analytics, and system architecture to design responsibly and collaborate effectively with technical partners.
User- and workflow-centered: Looks beyond surface-level requests to understand the actual work users are trying to complete, the constraints they operate within, and the behaviors a product must support or change.
High-judgment generalist: Knows when to go deep in research, interaction design, service design, prototyping, analytics, accessibility, stakeholder facilitation, or design systems.
Low-ego collaborator: Leads through clarity, evidence, craft, facilitation, and synthesis rather than ownership of every idea.
Outcome-oriented: Focuses on whether a product improves user performance, adoption, trust, efficiency, satisfaction, decision quality, or business value-not simply whether design deliverables were completed.
Comfortable with complexity: Can work effectively in large enterprise environments with incomplete information, competing priorities, regulatory constraints, technical dependencies, and multiple stakeholder groups.
Work Schedule: Hybrid, up to 2 days remote
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Staff Product Designer today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
