Summary
T2S Solutions is seeking to hire a Director, Enterprise & AI Applications responsible for standing up and scaling enterprise data-to-decision capability. This role drives the design, integration, and operationalization of data, analytics, and AI/ML solutions across cloud, edge, and air-gapped environments. The Lead ensures deliverables including measurable mission advantage, analytics debt reduction, and establishes a repeatable integration and delivery model that differentiates T2S in defense and commercial markets.

Responsibilities

• Strategic Leadership & Vision Execution
• Translate the Genesis vision into executable roadmaps, milestones, and measurable outcomes
• Lead the development of the T2S Analytics Engine Platform (AEP) as a governed, composable ecosystem
• Align platform capabilities with Department of War mission needs and adjacent commercial opportunities
• Identify capability gaps where T2S should build vs. integrate vs. partner

Platform & Architecture Oversight

• Define and enforce reference architectures for, distributed data pipelines, AI/ML lifecycle (MLOps), and Edge and disconnected operations
• Ensure interoperability between commercial tools (e.g., Axonis) and T2S-developed components
• Establish scalable patterns for data ingestion, normalization, and governance, model deployment across constrained environments, and secure cross-domain data flows

Productization & Capability Development

• Drive Genesis as a product-driven accelerator, not just a services effort
• Ensure all outputs are modular, composable, and reusable across programs
• Standardize reusable components, playbooks, and deployment kits, oversee development of new capabilities within AEP for Mission requirements exceed commercial offerings and differentiation is strategically valuable

Systems Integration & Delivery at Scale

• Lead end-to-end systems integration across heterogeneous environments
• Establish and refine a repeatable integration playbook for rapid deployment, mission tailoring, and multi-domain operations
• Ensure delivery teams can scale solutions across programs without rework

Partner & Technology Ecosystem Management

• Evaluate, onboard, and integrate partner technologies (e.g., Axonis and others)
• Define clear roles for partners vs. T2S-owned capabilities
• Ensure partner tools are leveraged as accelerators—not dependencies
• Maintain technical and strategic alignment with key vendors

Governance, Security & Compliance

• Implement governance models for data quality, lineage, access control, model validation and lifecycle management
• Ensure compliance with DoD and federal security requirements
• Drive secure-by-design principles across all Genesis capabilities

Mission Alignment & Stakeholder Engagement

• Interface with government and commercial stakeholders to translate mission needs into technical solutions
• Communicate value in terms of decision advantage, operational efficiency, and risk reduction
• Serve as the senior technical and delivery authority for Genesis initiatives

Team Leadership & Capability Building

• Build and lead cross-functional teams across data engineering, AI/ML engineering, systems integration, and platform engineering
• Establish engineering standards, best practices, and delivery frameworks
• Mentor leads and develop internal talent aligned to Genesis capabilities

Metrics, Outcomes & Continuous Improvement

• Define KPIs for analytics debt reduction, deployment velocity, model operationalization success, and mission impact
• Continuously refine the Genesis playbook based on delivery feedback
• Drive a culture of measurable outcomes and iteration

Data Holdings & Institutional Data Asset Management

• Establish and mature T2S’s data holdings capability as a strategic enterprise asset that captures, curates, governs, and reuses data generated across T2S programs, projects, exercises, experiments, demonstrations, and operational support activities
• Develop an enterprise approach for identifying, cataloging, preserving, and maintaining high-value data assets produced through T2S-led or T2S-supported initiatives
• Ensure data holdings are structured to support future analytics, AI/ML development, operational research, digital engineering, mission rehearsal, experimentation, and business development opportunities
• Define governance, access, quality, lineage, retention, and reuse models for T2S-owned and managed data assets
• Coordinate with program leads, technical teams, and stakeholders to ensure data capture is planned as part of delivery execution rather than treated as an after-action activity
• Leverage historical and emerging T2S data holdings to accelerate future initiatives, reduce startup friction, improve proposal credibility, and strengthen T2S’s position as a mission-informed data-to-decision partner
• Ensure appropriate security, compliance, classification, releasability, and customer constraints are applied to all data holdings
• Position T2S data holdings as a differentiating capability that compounds institutional knowledge and enables rapid mission-tailored solution development

Key Deliverables

• Genesis enterprise roadmap and execution plan
• AEP reference architecture and platform blueprint
• Enterprise data holdings strategy, governance model, and asset catalog covering ownership, access, lineage, quality, retention, reuse, and compliance.
• Reusable data capture and repository framework that enables future analytics, AI/ML development, experimentation, proposals, and rapid mission-tailored capability development.
• Repeatable integration and deployment playbooks
• Production-ready analytics and AI/ML solutions
• Partner integration frameworks
• Governance and compliance models

Value to T2S

• Establishing a repeatable, scalable delivery model
• Differentiating T2S through integration excellence and mission tailoring
• Creating a sustainable platform (AEP) that compounds value across programs
• Turns T2S data holdings into a reusable strategic asset that accelerates future initiatives, proposals, analytics, and AI/ML capabilities
• Positioning T2S as a leader in data-to-decision capabilities

Qualifications

• Active Security Clearance or the ability to obtain
• Bachelor’s degree & 10+ years of relevant experience
• Demonstrated experience leading large teams in fast paced, mission critical environments
• Proven ability to manage multimillion dollar equipment portfolios and resource allocation programs
• Strong background in risk mitigation, acquisition planning, and operational readiness
• Excellent communication, leadership, and cross functional coordination skills

T2S believes that our employees are our most valuable asset, and we strive to provide them with the resources and support they need to thrive both personally and professionally. Join our team and experience the benefits of working for a company that values its employees and invests in their future!

T2S Solutions is an Equal Opportunity Employer/Protected Veteran/Disability