Data and AI Project Manager - Public Sector

Guidehouse • Austin, TX

1d • $141,000 - $235,000 • Hybrid

About The Position

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 help clients design, build, and operationalize modern data warehouses and analytics ecosystems that support trusted reporting, advanced insights, and scalable AI. Our services enable clients to define an information strategy, deliver mission-critical insights and data-driven decision making, reduce cost and complexity, increase trust in data, and improve operational effectiveness.

Requirements

• Bachelor’s degree from an accredited college/university.
• Based on our contractual obligations, candidate must be located within the United States and 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.

Nice To Haves

• 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 related field.
• Experience with API development and integration for data services.
• Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics.

Responsibilities

• 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.

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

What This Job Offers

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