Guidehouse
Data Science Consulting
DataandAIProjectManager
Neural analysis suggests this role is
optimal for Mid candidates.
“Data and AI Project Manager at Guidehouse. Skills: Data and AI solutions, Data warehouse/lakehouse, Project management, Public sector. Design and lead AI/ML and analytics solutions. Translate business challenges into actionable use cases”
What You'll Achieve.
Maximize the value of their data; Automate business processes; Support trusted reporting; Advanced insights; Scalable AI; Define an information strategy; Deliver mission-critical insights; Data-driven decision making; Reduce cost and complexity; Increase trust in data; Improve operational effectiveness; Ensure delivery excellence and measurable outcomes
Industry & Context.
Translate business challenges into actionable use cases; Translate complex business challenges into actionable AI/ML and data solutions
Up to 10% travel, Ability to Obtain Public Trust clearance, Located within the United States, US Citizen, Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST", During peak periods, 50% travel to north east client site
What They're Looking For.
Must Have
Bachelor's degree from an accredited college/university, Located within the United States, US Citizen, Ability 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, Proven ability to design scalable architectures, Implement reliable models, Demonstrated experience leading data warehouse design and implementation, Data modeling, Ingestion patterns, Production operations, Knowledge of data warehousing concepts, Experience defining and implementing operating models for data platforms, Support processes, SLAs, Monitoring, Continuous improvement, Knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence, Communication skills to bridge technical and business worlds
Nice to Have
Experience with MLOps, CI/CD pipelines for AI/ML deployment, Experience implementing cloud data warehouse and lakehouse solutions using Snowflake, Databricks, Security, Governance, Performance optimization, Demonstrated work experience within the public sector, Familiarity with data privacy regulations, GDPR, CCPA, Ethical AI frameworks, Advanced Degree (Master’s or Ph. D.) in Data Science, Computer Science, AI, or related field, Experience with API development, Integration for data services, Experience supporting business development, RFP/RFQ/RFI responses involving data science / analytics
What You'll Do.
Design and lead AI/ML and analytics solutions
Translate business challenges into actionable use cases
Develop scalable data and AI products
Translate complex business challenges into AI/ML solutions
Lead client engagements from strategy through implementation
Ensure delivery excellence and measurable outcomes
Mentor and lead multidisciplinary teams
Lead data warehouse and or lakehouse initiatives
Design and implement scalable data warehouse patterns
Direct development of ETL/ELT pipelines
Establish and mature data operationalization capabilities
Partner with client stakeholders
How You'll Work.
Team & Collaboration
Mentor and lead multidisciplinary teams including scientists, engineers, and consultants; Partner with client stakeholders
Communication Scope
Communication skills to bridge technical and business worlds
Process & Methodology
Lead AI/ML and analytics solutions, Lead client engagements from strategy through implementation, Ensure delivery excellence and measurable outcomes, Lead data warehouse and or lakehouse initiatives, Direct development of ETL/ELT pipelines, Establish and mature data operationalization capabilities
Full Job Description
**_Job Family_ :** Data Science Consulting ** _Travel Required_ :** Up to 10% **_Clearance Required_ :** Ability to Obtain Public Trust ** _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 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. **_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, or
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