26-0098-001 | AI / Data Strategy Engagement Lead — ICE AI / Data Advisory (Contingent)

Axyde Analytics, LLC; Washington (District of Columbia); On-site; USD 150,000 - 230,000; Full time

Job summary

Axyde Analytics, LLC is seeking an experienced AI/Data Strategy Engagement Lead for a contingent engagement related to ICE AI, Data and Technology Strategy/Architecture. The role focuses on turning investigations into tangible AI and data investment decisions within a regulated government-adjacent context.

Lead an advisory team, diagnose workflows, establish baselines, and connect technical findings to operational outcomes while coordinating governance and ensuring traceability to decisions and

Qualifications

• Lead stakeholder discovery and distinguish workflow, data, technology and governance causes of poor performance.
• Define outcome measures, reference baselines and acceptance criteria with mission owners; compare improvement options, including process changes and reuse of existing capabilities.
• Integrate technical evaluation, cost, security, privacy and accessibility findings into decision memoranda and an executable roadmap with owners, dependencies and benefits verification.
• Coordinate AI use-case governance and multidisciplinary review; maintain traceability from mission need to evidence and recommendations.
• Demonstrated leadership of AI, data or technology strategy engagements in federal or similarly complex regulated organizations.
• Evidence of workflow diagnosis, alternatives analysis and implementation planning that led to a documented decision and measurable results.
• Ability to challenge technical claims, communicate uncertainty and coordinate specialists without overstating available evidence.

Responsibilities

• Lead stakeholder discovery and distinguish workflow, data, technology and governance causes of poor performance.
• Define outcome measures, reference baselines and acceptance criteria with mission owners; compare improvement options, including process changes and reuse of existing capabilities.
• Integrate technical evaluation, cost, security, privacy and accessibility findings into decision memoranda and an executable roadmap with owners, dependencies and benefits verification.
• Coordinate AI use-case governance and multidisciplinary review; maintain traceability from mission need to evidence and recommendations.
• Demonstrated leadership of AI, data or technology strategy engagements in federal or similarly complex regulated organizations.
• Evidence of workflow diagnosis, alternatives analysis and implementation planning that led to a documented decision and measurable results.
• Ability to challenge technical claims, communicate uncertainty and coordinate specialists without overstating available evidence.

Job description

26-0098-001 | AI / Data Strategy Engagement Lead — ICE AI / Data Advisory (Contingent)

• Washington, DC

Contingent on government contract award and funding.

Washington, DC is the opportunity-market location; actual work location and work model are to be determined.

Axyde Analytics, LLC is identifying experienced professionals for a proposed management and technical advisory team supporting its response to the ICE Enterprise AI, Data, and Technology Strategy/Architecture RFI (RFI-ICE_ADTS_Sep2026). The proposed mission is to help ICE turn AI and data investments into measurable operational results: establish a baseline, assess alternatives and cost/risk, recommend decisions, build an executable plan and verify benefits. This is a pre-award talent search for potential work; an RFI is market research and does not establish an awarded contract or guaranteed position.

Your contribution

Lead a focused advisory team that turns mission problems into measurable AI and data investment decisions. Diagnose current workflows, establish a defensible baseline, and connect technical findings to operational outcomes.

Responsibilities

• Lead stakeholder discovery and distinguish workflow, data, technology and governance causes of poor performance.
• Define outcome measures, reference baselines and acceptance criteria with mission owners; compare improvement options, including process changes and reuse of existing capabilities.
• Integrate technical evaluation, cost, security, privacy and accessibility findings into decision memoranda and an executable roadmap with owners, dependencies and benefits verification.
• Coordinate AI use-case governance and multidisciplinary review; maintain traceability from mission need to evidence and recommendations.
• Demonstrated leadership of AI, data or technology strategy engagements in federal or similarly complex regulated organizations.
• Evidence of workflow diagnosis, alternatives analysis and implementation planning that led to a documented decision and measurable results.
• Ability to challenge technical claims, communicate uncertainty and coordinate specialists without overstating available evidence.

Evidence we will discuss

• An existing, lawfully shareable decision memo or roadmap showing baseline, alternatives, recommendation and results.
• A walkthrough identifying your personal contribution, stakeholder decisions and how benefits were measured.

Technical context

The RFI describes an existing STELLA environment spanning AWS, Microsoft Azure and Google Cloud, with Kubernetes and LLM/RAG capabilities, and a data environment integrating Databricks, Collibra, MuleSoft and Traceable. Its enterprise control plane, agentic orchestration/runtime and independent assurance layers are future-state concepts to be evaluated. Direct STELLA experience is preferred when lawfully demonstrable; comparable federal or regulated production experience is welcome. No applicant is expected to master every listed product or all three clouds.

Engagement conditions

Contingent on government contract award and funding. Work location, work model, travel and access requirements will be determined by the scope and agency requirements. Start date, engagement structure, compensation and any paid work terms will be agreed before work begins. This posting represents a coverage function, not a promise of a separate full-time position. Candidates may cover multiple functions where experience, availability and independent-review requirements permit.