СШАSenior Data Platform & AI Lead
4 дн. назад
СШАLeadHybrid
snowflakedatabricksbigqueryredshiftetlmlopsawsazure
Lead modernization of large-scale data platforms and AI enablement for complex distributed data environments including federal and defense sectors.
Обязанности
- • Lead data platform architecture and engineering assessments, including current-state analysis, target-state design, and modernization roadmaps. • Design AI/ML enablement architectures that support 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 the data center and network leads. • Define the data foundation scope, including ownership, taxonomy, governed access, and integrated reporting, and identify where in-flight programs can be accelerated. This includes the federated data model (DataMesh) for collecting and connecting data across MilDeps, covering domain data products, interoperability standards, and cross-MilDep 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.
Требования
- • 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; deep transformation experience in other complex environments may also substitute. • Bachelor's degree required; an advanced degree in a technical field is a plus. Cloud data or ML certifications (AWS, Azure, GCP, Databricks) are strongly preferred. • Comfortable with travel up to 80%. • Active Secret Clearance required; TS/SCI eligibility strongly preferred. • U.S. Citizenship and Residency required.
Другое
- provides both operations and strategic support to commercial organizations. Our client is a leading global professional services firm dedicated to helping organizations tackle their most complex business issues, maximize stakeholder value, and deliver sustainable change.
- Their Corporate Performance Improvement practice is looking for a Senior Data Platform & AI Lead to drive large-scale data platform modernization and AI enablement for clients operating complex, distributed data environments, including federal and defense environments with classified and cross-boundary data. This role requires someone who has designed and implemented enterprise data and AI platforms at scale — not just operated existing pipelines and models.
- Workplace Type: 80% travel. Hybrid.
- Employment Type: Full-Time
- Clearance : Active Secret Clearance required; TS/SCI eligibility strongly preferred.
- Compensation: Hourly rate is DOE.
- • Modern data platform architecture, including data lakes, lakehouses, and cloud data warehousing (Snowflake, Databricks, BigQuery, Redshift). • Data pipeline and ETL/ELT design, orchestration tooling, and data integration across structured and unstructured sources. • AI/ML platform engineering, including MLOps, model deployment pipelines, feature stores, and LLM/GenAI platform integration. • Data governance, lineage, cataloging, and metadata management frameworks. • Cloud data infrastructure across AWS, Azure, and/or GCP, including cost modeling and platform consolidation. • Data security, privacy, and regulatory compliance. Direct experience with DoD data and cloud policy (for example, the DoD Data Strategy and cloud impact levels IL4 to IL6) is a strong advantage and preferred for this role; GDPR, CCPA, or industry-specific data regulation can substitute. • AI-driven data engineering. Baseline competency with AI-assisted development, testing, and monitoring tools is expected; candidates should articulate how AI accelerates platform build and data operations. • Negotiating with data and AI platform vendors and general understanding of commercial models and licensing structures, including competing vendors and avoiding sole-source dependence. • Designing and architecting highly available, scalable data platforms with proven experience in real-time and batch processing, disaster recovery, and multi-region redundancy. • Federal contracting experience. • Sovereign AI hosting, i
- Has designed and implemented large-scale, highly complex data and AI platform transformations — not just operated existing pipelines and models. Understands the dependency between data platform readiness and AI/ML program success. Can work across data engineering, AI/ML, security, and business stakeholder teams. Brings AI-assisted platform engineering into the delivery toolkit as standard practice. Has worked with classified or cross-boundary data and understands how it constrains platform and AI design.