Director – Health AI, Data Science

Job Description:

• 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.
• 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.

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.

Benefits:

• Medical, Rx, Dental & 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 & 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

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