Senior Data Platform – AI Lead

Strategic Growth Partners

. Lead data platform architecture and engineering assessments, including current-state analysis, target-state design, and modernization roadmaps .

Posted 11/3/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in data platform architecture and AI/ML engineering, with a strong focus on modernization, governance, and compliance in complex environments. Proven ability to lead transformation programs and develop scalable architectures across hybrid and multi-cloud infrastructures.

Highest-signal resume keywords

Data Platform ArchitectureAI/ML EngineeringData GovernanceCloud Data InfrastructureActive Secret Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data LakesLakehousesETL/ELT DesignMLOpsData SecurityData ClassificationData Mesh ArchitectureReal-Time ProcessingDisaster RecoveryData Integration

Tools & Technologies

AWSAzureGCPOrchestration ToolingFeature StoresCommercial ModelsLicensing Structures

Certifications & Qualifications

Bachelor's DegreeActive Secret ClearanceTS/SCI Eligibility

Industry Keywords

Government ExperienceDefense ExperienceRegulated IndustryFinancial ServicesHealthcareFederal ContractingSovereign AI Hosting

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformTypeScript

About the role

Key responsibilities & impact

Lead data platform architecture and engineering assessments, including current-state analysis, target-state design, and modernization roadmaps
Design AI/ML enablement architectures supporting scalable model development, deployment, and monitoring across hybrid and multi-cloud environments
Assess data governance and AI readiness and develop implementation roadmaps aligned with compliance and business timelines
Evaluate dependencies between data platform modernization and AI/ML initiative sequencing
Assess AI infrastructure readiness, including compute, power, networking, and hosting boundaries, alongside data center and network leads
Define the data foundation scope, including ownership, taxonomy, governed access, integrated reporting, domain data products, interoperability standards, and cross-Military Department access
Define and integrate findings into A&M's broader engagement scope and deliverables
Support practice development through internal training, content creation, and people development

Requirements

What you’ll need

10+ years of professional experience in data platform architecture and/or AI/ML engineering for complex, large enterprises, with consulting or advisory delivery experience
Demonstrated experience leading data platform modernization, AI/ML enablement, or data-driven transformation programs
Government or defense experience strongly preferred; regulated industry experience in financial services or healthcare can substitute
Bachelor's degree required
Active Secret Clearance required; TS/SCI eligibility strongly preferred
U.S. Citizenship and Residency required
Comfortable with travel up to 80%
Experience with modern data platform architecture, including data lakes, lakehouses, and cloud data warehousing
Experience with data pipeline and ETL/ELT design, orchestration tooling, and data integration
AI/ML platform engineering experience, including MLOps, model deployment pipelines, feature stores, and LLM/GenAI platform integration
Experience with data governance, lineage, cataloging, and metadata management
Cloud data infrastructure experience across AWS, Azure, and/or GCP
Experience with data security, privacy, and regulatory compliance
Experience negotiating with data and AI platform vendors and understanding commercial models and licensing structures
Experience designing highly available, scalable data platforms with real-time and batch processing, disaster recovery, and multi-region redundancy
Federal contracting experience
Sovereign AI hosting experience
Experience with data classification and cross-boundary or cross-domain data movement
Experience with data ownership, taxonomy, and governed access across federated organizations
Experience with data mesh/federated data architecture

Benefits

Comp & perks

Hourly rate is DOE
Hybrid work arrangement
Cloud data or ML certifications are strongly preferred