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About the Role

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.

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.

Requirements

Bachelor’s degree from an accredited college/university.
Candidate must be located within the United States and be a US Citizen.
Ability to obtain and maintain a Federal or DoD "PUBLIC TRUST" clearance.
Minimum 5 years of experience delivering technical solutions and programs to public sector organizations.
Experience in data and AI system development, with 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.
Knowledge and interest to remain current on emerging trends and techniques in data science and Artificial Intelligence.
Strong communication skills to bridge technical and business worlds.
Ability to travel up to 50% to North East client sites during peak periods (e.g., requirements gathering, UAT, implementation/go live).

Skills

MLOps
CI/CD pipelines for AI/ML deployment
Cloud data warehouse and lakehouse solutions (Snowflake, Databricks)
Data privacy regulations (GDPR, CCPA)
Ethical AI frameworks
API development and integration for data services
Business development support (RFP/RFQ/RFI responses for data science/analytics)
Data warehousing concepts (dimensional modeling, analytics-ready data structures, CDC patterns, performance tuning, cost controls for cloud platforms)
Knowledge of emerging trends and techniques in data science and Artificial Intelligence
Strong communication skills
Snowflake
Databricks
Azure
AWS
GCP

Location

United States
North East client site (travel required)

Work Type

Travel Required: Up to 10%
During peak periods, 50% travel to north east client site

Experience Level

Minimum 5 years of experience

Education Level

Bachelor’s degree from an accredited college/university
Advanced Degree (Master’s or Ph.D.) in Data Science, Computer Science, AI, or related field (nice to have)

Salary/Compensations

$141,000.00-$235,000.00

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Discretionary variable incentive bonus eligibility
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

About the Company

Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors.
With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets.
The firm brings together approximately 18,000 professionals to help clients across industries outwit complexity, achieve lasting impact, and shape a meaningful future.

Equal Opportunity

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.
If you require an accommodation to apply for a position, contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com.