Technical Product Manager - AI-Native Solution Delivery

Guidehouse • Tysons Corner, VA

1d

About The Position

The Technical Product Manager translates complex business challenges into scalable enterprise solutions within the Chief Transformation Officer (CXO) organization, supporting internal AI Transformation, Solution Studio, and other strategic CXO initiatives. Working at the intersection of internal stakeholders, process design, and technical architecture, this hands-on lead turns ambiguity into structured solution pathways and measurable impact. The role embeds closely with internal teams in a forward-deployed engineering approach, using AI-native methods throughout discovery, prototyping, and delivery.

The role includes diagnosing business pain points, mapping processes and data flows, defining business cases and outcome measures, and partnering with architects and engineers to design scalable solutions. The Technical Product Manager helps develop prototypes, evaluate technical options, define solution specifications and backlogs, plan releases, resolve delivery blockers, and guide adoption and operational transition. It also captures reusable delivery practices and mentors colleagues in practical AI-native ways of working.

Requirements

• Bachelor’s degree; four additional years of professional experience may be substituted in lieu of a degree.
• Eight or more years of experience in product management, solution strategy, or technology delivery, with demonstrated success translating ambiguous business problems into scalable, adopted solutions preferred.
• Practical understanding of AI capabilities and limitations, enterprise data and integration fundamentals, and cloud platforms, with sound judgment about fit-for-purpose AI components.
• Hands-on builder mindset and technical fluency to partner closely with engineers, guide prototype development, evaluate technical tradeoffs, and validate working solutions through experimentation and stakeholder feedback.
• Strong analytical and prioritization skills, including the ability to translate business needs into clear, testable requirements, estimate delivery effort with engineering teams, and guide Agile delivery toward measurable outcomes.
• Understanding of Guidehouse’s client industries and business workflows, and experience navigating complex or regulated environments.
• Excellent written, verbal, and executive communication skills, including the ability to explain technical tradeoffs and align business, technical, and operational stakeholders.

Nice To Haves

• Direct experience serving or working within at least one of Guidehouse’s core client industries: Healthcare; Financial Services; Communities, Energy & Infrastructure; or Defense & Security.
• Internal transformation, solution engineering, or consulting experience in matrixed organizations.
• Experience with enterprise AI platforms, AI-assisted development tools, or secure solution deployment and evaluation in regulated environments.
• Experience independently building applications, automations, or other working solutions through professional or personal projects, using AI-assisted development, low-code tools, or traditional coding.
• Fluency with Jira for backlog management, user story refinement, release planning, and delivery tracking.
• Relevant AI, cloud, Agile, or product/program management certifications.

Responsibilities

• Embed with internal stakeholders to diagnose pain points, map processes and data flows, and define business cases, value hypotheses, and outcome measures before building.
• Partner with architects and engineers to frame scalable solution designs and define MVP and proof-of-value slices that demonstrate impact and de-risk production delivery.
• Work hands-on with engineers to develop and refine working prototypes using short build-and-validate cycles, representative data, and stakeholder feedback.
• Evaluate buy, configure, build, and reuse options, assessing platform and data tradeoffs across cost, quality, security, complexity, and scalability.
• Develop and maintain clear, testable solution specifications and user stories for engineers and AI coding agents, including requirements, constraints, and acceptance criteria.
• Own prioritized backlogs and release plans; partner with architects and engineers to estimate effort and complexity, drive delivery planning, resolve cross-functional dependencies and blockers, and communicate tradeoffs to senior stakeholders.
• Plan adoption and operational transition early with internal business and IT owners, including release readiness, support, monitoring, documentation, and adoption measures.
• Capture reusable solution patterns and delivery practices, and mentor colleagues in practical AI-native ways of working.

Benefits

• Medical, prescription drug, dental, and vision insurance
• Personal and family sick time
• Company-paid holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental leave and adoption assistance
• 401(k) retirement plan
• Basic life and supplemental life insurance
• Health Savings Account
• Dental, vision, and dependent care Flexible Spending Accounts
• Short-term and long-term disability
• Student Loan PayDown
• Tuition reimbursement
• Personal development and learning opportunities
• Skills development and certifications
• Employee referral program
• Corporate-sponsored events and community outreach
• Emergency back-up childcare program
• Mobility stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Senior