Senior Product Designer

Overview

LMI is seeking a Senior Product Designer to support Department of Veterans Affairs (VA) digital modernization initiatives spanning workflow improvement, automation, dashboards, AI-enabled experiences, digital tool adoption, and continuous improvement. This discovery-first, outcomes-oriented role will lead human-centered product design from problem framing and user research through prototyping, validation, implementation support, and post-release learning.

The Senior Product Designer will work directly with Government users, operational stakeholders, product and program leaders, engineers, data teams, AI/ML specialists, training resources, and support teams to understand how work is actually performed. The role will investigate workflow friction, manual burden, information gaps, workarounds, adoption barriers, and unmet needs before proposing a solution, ensuring design decisions are grounded in evidence rather than assumptions.

Research is an integral part of the role. The designer will plan and conduct interviews, contextual inquiry, workflow observation, concept testing, usability testing, and other appropriate qualitative or mixed-method research. Findings will be synthesized with product analytics, adoption metrics, support trends, operational data, and stakeholder feedback to identify opportunities, prioritize improvements, and measure whether released capabilities are producing the intended user and mission outcomes.

The successful candidate must be comfortable moving between research, service and workflow design, interaction design, prototyping, measurement, and implementation collaboration. The ideal candidate can bring structure to ambiguous problems, facilitate difficult tradeoffs, create trustworthy and accessible AI-enabled experiences, and establish repeatable research, design, measurement, and continuous-improvement practices across the VA portfolio.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

• Lead discovery and product research to identify high-value opportunities for workflow improvement, automation, dashboards, AI-enabled capabilities, and digital tool adoption.
• Plan and conduct interviews, contextual inquiry, workflow observation, concept testing, usability testing, and post-release feedback around clear research questions and decision needs.
• Synthesize qualitative and quantitative evidence into user needs, pain points, opportunity areas, design principles, and prioritized recommendations.
• Map current-state and future-state workflows, user journeys, service interactions, information flows, handoffs, exceptions, and workarounds across complex operational environments.
• Translate validated user needs into product concepts, user flows, information architecture, wireframes, prototypes, design specifications, acceptance considerations, and backlog-ready requirements.
• Design AI-enabled experiences that support transparency, user control, confidence calibration, feedback, exception handling, and appropriate human oversight.
• Design usable dashboards and data-rich interfaces that help users understand status, trends, priorities, exceptions, and required actions without unnecessary cognitive burden.
• Define and use product measures such as adoption, task completion, feature utilization, satisfaction, support demand, workflow time, and other relevant outcome indicators.
• Triangulate research findings with product analytics, usage data, help desk trends, operational measures, training feedback, and stakeholder observations to guide prioritization.
• Lead iterative prototype validation and usability testing, documenting what was learned, what changed, unresolved risks, and the evidence supporting major design decisions.
• Apply Section 508, WCAG, inc…