Data and AI Project Manager - Public Sector

About Our AI And Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high‑performing team works with clients across the full data lifecycle—from data strategy and architecture to data warehousing and lakehouse design, to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence, as well as intelligent automation. We design, build, and operationalize modern data warehouses and analytics ecosystems that support trusted reporting, advanced insights, and scalable AI. Job Family Data Science Consulting Travel Required Up to 10% Clearance Required Ability to Obtain Public Trust What You Will Do Design and lead AI/ML and analytics solutions using best‑in‑class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. Lead data warehouse and/or lakehouse initiatives, including requirements definition, architecture, modeling, implementation, and production readiness. Design and implement scalable data warehouse patterns, including dimensional modeling (star/snowflake), curated data marts, semantic layers, and governed self‑service analytics. Direct development of ETL/ELT pipelines, orchestration, and automation using modern tooling and engineering practices. Establish and mature data operationalization capabilities (e.g., performance tuning and cost optimization, release management and incident support processes, data quality rules and monitoring). Partner with client stakeholders to align warehousing work with data governance practices, access controls, and operational support models. What You Will Need Bachelor’s degree from an accredited college or university. Candidate must be located within the United States and be a US Citizen. Must be able to obtain and maintain a Federal or DoD "PUBLIC TRUST". Minimum five (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Demonstrated experience leading data warehouse design and implementation, including data modeling, ingestion patterns, and production operations. Strong knowledge of data warehousing concepts (e.g., dimensional modeling, analytics‑ready data structures, CDC patterns, performance tuning, and cost controls for cloud platforms). Experience defining and implementing operating models for data platforms, including support processes, SLAs, monitoring, and continuous improvement. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and artificial intelligence. Strong communication skills to bridge technical and business worlds. During peak periods, up to 50% travel to the northeast client site for requirements gathering, UAT, implementation, and go‑live activities. What Would Be Nice To Have Experience with MLOps and CI/CD pipelines for AI/ML deployment. Experience implementing cloud data warehouse and lakehouse solutions using Snowflake and/or Databricks, including security, governance, and performance optimization. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, AI, or a related field. Experience with API development and integration for data services. Experience supporting business development, including RFP/RFQ/RFI responses involving data science or analytics. The annual salary range for this position is $141,000.00–$235,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. Benefits Include Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time and 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 Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. #J-18808-Ljbffr Guidehouse