Director – Health AI and Data Science

Guidehouse•Tysons Corner, VA

3d•Remote

About The Position

Guidehouse is seeking a Director in our Health AI and Data Science practice to lead the delivery of data products, AI-enabled solutions, and scientific support that help healthcare leaders make better, faster decisions grounded in data. In this role, you will own end-to-end client delivery across multiple accounts and capabilities — partnering with executives and product owners to translate priority decisions into clear use cases, governed metrics, and a roadmap of analytics, decision intelligence, and AI capabilities. You will provide day-to-day delivery leadership (scope, schedule, staffing, risk, and quality), guide multidisciplinary teams (data science, data engineering, analytics, and UX/visualization), identify and support capture of new business, and ensure solutions are secure, scalable, and adopted in the client’s operating cadence. The ideal candidate combines strong consulting leadership, a hypothesis-driven scientific research background, and executive communication with enough technical depth to steer delivery tradeoffs and drive teams from discovery through implementation and measurable impact.

Requirements

PhD degree in health sciences
A minimum of TEN (10) years of experience in management consulting, analytics, AI, data science, and/or data product delivery, including leading complex, multi-workstream programs.
A minimum of 10 years of people leadership experience, including recruiting, coaching, performance management, and building diverse, high-performing teams.
A minimum of FIVE (5 ) years supporting federal, state, and commercial health organizations, including leading account management and business development capture, especially the U.S. Department of Veterans Affairs agency
A minimum of FIVE (5) years of leading management and business capture of hypothesis-driven scientific support research activities, including survey development and validation, qualitative/quantitative statistical methods
Demonstrated experience delivering executive-facing data products (e.g., KPI/metric layers, dashboards, forecasting/optimization, decision intelligence) from discovery through launch and adoption.
Proven ability to lead senior client stakeholders, facilitate working sessions, and produce clear, compelling executive communications (briefs, decision memos, and presentations).
Strong understanding of modern data and AI delivery practices (cloud data platforms, data engineering, MLOps, data quality/observability, and model risk management) sufficient to guide teams and make architectural tradeoffs.
Experience owning delivery operations and financials, including scope management, staffing, budgets, risk/issue management, and quality assurance across multiple engagements.

Nice To Haves

Healthcare data expertise: Hands-on familiarity with common healthcare data sources/standards (e.g., claims, EHR, HL7/FHIR, HEDIS, risk adjustment), and how they impact measurement and decision-making.
People & practice growth: History of scaling teams, building reusable assets/accelerators, and contributing to thought leadership (whitepapers, conference talks, internal training).
Budgeting & team orchestration: Experience owning delivery budgets/forecasts and structuring cross-functional teams, roles, and cadences to execute multi-workstream programs predictably.

Responsibilities

Lead end-to-end delivery of multiple concurrent AI, data science (including qualitative/qualitative scientific support), and data product engagements, ensuring on-time, high-quality outcomes across public and commercial health workstreams, vendors, and client teams.
Co-lead scientific support service line to support hypothesis-driven research, statistical analyses, peer-review manuscript publication, and data-driven storytelling targeted to diverse audience personas (executives, community, etc.)
Partner with client executives and product owners to define decision-centric use cases and success measures, translating strategy into a prioritized roadmap of data products, analytics, and AI capabilities.
Translate executive decisions into clear product requirements and governance (KPI definitions, metric logic, decision thresholds, scenarios, and action triggers), ensuring outputs are trusted, repeatable, and decision-ready.
Direct analytics and model development across teams—framing hypotheses, guiding quantitative and qualitative methods, validating assumptions, and driving from root cause to opportunity sizing, prioritization, and quantified value cases.
Develop and quality-assure executive-ready deliverables (decision memos, briefs, and exhibits) that clearly communicate the “so what,” tradeoffs, and recommended actions for C-suite and senior government audiences.
Lead senior stakeholder engagement and delivery governance, running working sessions and executive readouts; synthesizing inputs; aligning decision-makers; managing risks and dependencies; and driving timely decisions across client and internal leadership.
Build, staff, and grow high-performing delivery teams through an apprenticeship model—coaching consultants through associate directors, setting clear expectations, and ensuring the right mix of functional, technical, and domain skills.
Drive business development and account expansion (with emphasis on federal health accounts), leading proposals and capture efforts; shaping solution approaches; and developing reusable delivery accelerators and data product assets.
Establish delivery standards for scalable, secure data products, including data quality practices, documentation, and responsible AI considerations appropriate for executive decision-making.
Own engagement financial and operational performance—managing scope, budgets, staffing, and margins; monitoring delivery health; and proactively mitigating risks to ensure sustainable, repeatable delivery.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend