The Vice President, Enterprise Technology & Innovation

The Vice President, Enterprise Technology & Innovation (VP, ET&I), reports to the President, with direct leadership of Enterprise IT & Security. This executive will lead internal transformation, current customer innovation, and pre-award technical solutioning, supported by reliable technology and cybersecurity operations.

The VP, ET&I will serve as the connective point among Growth, Service Delivery, Technology, Quality and Compliance, Corporate Services, and Executive Leadership. The position is an Executive Leadership Team member with direct CEO access for assigned priorities and material risks.

The position has three equally important, connected transformation missions:

- Internal enterprise transformation: Transform how the organization operates through data, AI, automation, analytics, process redesign, and enterprise integration.
- Current customer and program transformation: Apply those capabilities to active contracts to improve mission outcomes, service performance, productivity, and customer value.
- Growth and pre-award technical solutioning: Develop differentiated, executable technical solutions, architectures, demonstrations, and accelerators for recompetes and new business, from early BD through Capture, Proposal, and delivery handoff.

Reliable, secure corporate technology is the operating foundation for all three missions. Daily IT/Security execution remains with the existing leader; the VP is accountable for priorities, investment, risk treatment, and results.

The candidate must be a builder, operator, problem solver, and strategist who moves from problem definition through analysis, solution design, prototype, pilot, implementation, measurement, and reuse. The role requires sufficient technical depth to evaluate and shape solutions, along with the business and operational judgment to determine where technology should—and should not—be applied.

Essential Duties and Responsibilities

Corporate IT and Cybersecurity Leadership

- Own the performance and improvement of company-managed corporate technology and cybersecurity. Direct the existing Enterprise IT & Security leader, assigned staff, and service providers; delegate day-to-day execution while remaining accountable for outcomes.
- Define service ownership, support standards, escalation, staffing coverage, operational priorities, and an integrated technology roadmap. Keep access, support, and incident duties staffed during changes and transitions.
- Own enterprise architecture and integration, infrastructure, networks, cloud/collaboration platforms, endpoints, approved environments, capacity, and platform lifecycle. Evaluate interoperability, resilience, scalability, and total lifecycle cost.
- Manage approved technology budgets, investment priorities, licenses, renewals, asset inventories, vendor performance, and service agreements. Review critical providers with Contracts before selection or renewal, including cybersecurity, data handling, access, and contractual requirements.
- Ensure identity and access management, timely provisioning/removal, least privilege, privileged access controls, periodic access reviews, endpoint/network/cloud protection, vulnerability and patch management, secure configuration, logging, and monitoring.
- Implement and operate applicable technical security controls. Maintain system boundaries, control ownership, implementation evidence, system security documentation, and technical remediation plans for company-managed systems, including applicable Controlled Unclassified Information (CUI) environments.
- Match control requirements to actual contracts, data types, system boundaries, and applicable assessment scope. Support relevant NIST requirements and CMMC obligations through maintained implementation and evidence.
- Maintain tested backups, recovery procedures, and resilience objectives. Conduct incident-response exercises and recovery tests, assign corrective actions, and verify operational follow-through.
- Lead incident preparedness, technical containment, investigation support, and recovery. Escalate material incidents promptly and coordinate required notifications through designated contractual channels within applicable deadlines.
- Own corporate technical standards and technical security policies/procedures within delegated authority. Submit enterprise policy changes through established governance and provide evidence for independent Quality & Compliance review.
- Require corporate production changes to pass appropriate architecture, security, data-owner, change-control, and operational-readiness review, including testing, support/runbook ownership, rollback, monitoring, and lifecycle funding.

Enterprise Transformation

- Lead a prioritized portfolio of initiatives designed to improve organizational scalability, productivity, operational effectiveness, and management visibility.
- Assess current business and operational processes across Service Delivery, Growth, Finance, HR, Recruiting, Contracts, IT, and other corporate functions.
- Identify manual, fragmented, repetitive, or inefficient processes that can be redesigned, automated, integrated, or eliminated.
- Develop target-state operating models, transformation roadmaps, implementation plans, and business cases based on measurable operational or financial value.
- Lead cross-functional transformation initiatives from problem definition through implementation.
- Establish clear objectives, owners, milestones, dependencies, risks, and measures of success.
- Ensure transformation efforts simplify operations rather than introduce unnecessary systems, complexity, or administrative burden.
- Establish repeatable approaches that can scale as the organization grows.
- For each approved initiative, confirm a business sponsor, process owner, baseline, acceptance criteria, funding, training needs, support owner, and adoption measures.

AI, Intelligent Automation, and Emerging Technology

- Serve as the enterprise leader for the practical adoption of AI, intelligent automation, and emerging technologies.
- Develop and maintain a prioritized enterprise AI and automation portfolio.
- Identify high-value AI, GenAI, machine learning, automation, analytics, and agentic workflow opportunities.
- Evaluate emerging technologies against real business and customer requirements.
- Rapidly prototype promising use cases and move selected capabilities through idea, prototype, pilot, approved production, and measurement.
- Test assumptions in approved environments with authorized data, then document adoption, limitations, support, and reuse.
- Develop AI-enabled solutions supporting knowledge management, research and analysis, service desk operations, incident and problem management, technical support, customer experience, proposal and solution development, staffing and workforce analytics, reporting, decision support, and repetitive administrative processes.
- Evaluate whether the organization should build, buy, configure, partner, or avoid proposed technologies.
- Establish methods for measuring actual productivity, quality, cost, mission, or customer impact.
- Shape and demonstrate working solutions, coordinate specialists where needed, and sustain adopted capabilities.

Enterprise Data and Decision Intelligence

- Establish the foundation necessary to convert business and operational data into trusted enterprise intelligence.
- Develop an enterprise data and intelligence roadmap.
- Identify critical data across Growth and Capture, Finance, Service Delivery, Contracts, HR, Recruiting, IT, Quality and Compliance, and authorized customer operations.
- Establish what priority data exists, where it resides, who owns it, how it is defined, how it connects to other data, and how it may be used.
- Record sources, interfaces, access rights, quality, lineage, retention, and lifecycle responsibilities.
- Work with functional owners to establish trusted metrics and authoritative sources for key management information.
- Reduce manual reconciliation, spreadsheet dependency, duplicate reporting, and disconnected data.
- Develop executive dashboards and decision-support capabilities.
- Improve leadership visibility into revenue, margin, staffing, utilization, vacancies, contract funding and burn, program performance, growth pipeline, recruiting, customer delivery metrics, and enterprise risk.
- Establish appropriate data governance, ownership, quality, accessibility, security, and lifecycle practices in coordination with responsible functional leaders.
- Identify data freshness, gaps, and limitations; distinguish official results from estimates and forecasts, and restrict sensitive data to authorized roles.

Service Delivery Innovation

- Partner closely with the VP, Service Delivery and program leadership to identify and implement improvements across customer programs.
- Support ITSM automation, service desk optimization, knowledge management, AI-enabled agent assistance, incident and problem analytics, SLA and performance analytics, workforce and workload forecasting, transition analytics, customer experience improvements, operational dashboards, automated reporting, process automation, predictive and trend analysis, and continuous service improvement.
- Agree on the mission problem, baseline, expected value, and acceptance criteria with program leadership.
- Implement within contract scope, funding, authorized systems, workforce obligations, and required PM/customer or prime-contractor approvals.
- Use controlled pilots, readiness reviews, and rollback plans to protect service performance.
- Coordinate implementation and acceptance through PMs and required customer authorities while preserving program reporting lines and delivery accountability.

Growth Solutioning and Competitive Differentiation

- Partner with the VP, Strategic Growth, Capture leaders, Service Delivery, technical SMEs, and executive leadership to strengthen solutions for strategic pursuits and recompetes.
- Translate customer mission requirements and capture strategies into differentiated, executable solutions.
- Lead the technical solutioning workstream for assigned opportunities throughout the pre-award lifecycle. Agree on the solution lead, technical team, deliverables, review dates, and available capacity with Growth.
- During Business Development, work with Growth to understand customer missions, operating challenges, emerging requirements, and capability gaps. Shape credible technical concepts, capability briefings, permitted demonstrations, partner options, and supporting evidence.
- During Capture, translate capture strategy and customer requirements into solution alternatives, architecture, CONOPS, transition/implementation plans, discriminators, and build/buy/partner choices.
- Identify technical risks, dependencies, staffing needs, security requirements, and cost assumptions; mature the approach through customer feedback and solution reviews.
- During Proposal, own the assigned technical solution and the accuracy, consistency, and executability of its technical content.
- Trace requirements to the solution, lead technical writing and reviews, support demonstrations and oral presentations when required, and validate assumptions with Delivery, Finance, Contracts, and partners before commitment.
- At award and delivery handoff, transfer the approved solution, requirements, assumptions, risks, staffing dependencies, commitments, and reusable assets to the designated PM and Delivery team.
- Support development of solution architectures, CONOPS, management approaches, transition approaches, automation strategies, AI/data strategies, technical roadmaps, operating models, and performance frameworks.
- Ensure proposed innovations are operationally realistic and executable after award.
- Develop prototypes and demonstrations where they improve customer understanding or proposal differentiation.
- Connect organizational capabilities across enterprise IT, ITSM, cybersecurity, Zero Trust, data and analytics, AI/ML, intelligent automation, cloud, knowledge management, and digital transformation.
- Build reusable proposal content, architectures, methodologies, demonstrations, accelerators, and intellectual property.
- Review licensing, security, staffing, implementation effort, dependencies, and support costs with Growth, Service Delivery, Finance, and Contracts.

Customer-Facing Innovation and Reusable Capabilities

- Build a repeatable method for turning operational innovation into measurable customer value and future competitive advantage.
- Identify innovations developed on one program that can be adapted to other company programs.
- Develop reusable accelerators rather than repeated one-off solutions.
- Build demonstrations and proof-of-concepts that Growth can use with prospective customers.
- Work with program leadership to identify customer mission problems the organization can proactively help solve.
- Document accurate, measurable results for permitted use in past performance, recompetes, proposals, customer briefings, capability demonstrations, and thought leadership.
- Describe the baseline, contribution, limitations, and customer acceptance; obtain required permissions before external use.
- Identify opportunities where internally developed capabilities could become formal company offerings or differentiators.
- Review contract data/IP rights, confidentiality, customer permissions, and third-party licensing before reuse or publication.

Enterprise Knowledge and Intellectual Property

- Develop mechanisms to retain and reuse institutional knowledge.
- Improve enterprise knowledge management and identify valuable knowledge isolated within individuals, programs, files, Teams environments, or functional departments.
- Develop appropriate AI-assisted knowledge discovery and retrieval capabilities.
- Build reusable libraries for solutions, lessons learned, CONOPS, transition approaches, process models, technical architectures, automation components, dashboards, proposal content, and best practices.
- Protect proprietary information and customer data.
- Establish mechanisms to convert project experience into enterprise intellectual capital.
- Assign owners, versions, access rules, maintenance responsibilities, and reuse instructions.
- Confirm rights and permissions with Contracts/Legal before adding customer-funded artifacts or data to shared libraries or reusing them.
- Capture learning after each contract, transition, pursuit, and operational challenge.

Responsible AI, Security, and Governance

- Ensure innovation occurs within appropriate security, privacy, contractual, quality, and compliance boundaries.
- Work with Quality & Compliance, Contracts, Legal, data owners, and program leadership to establish responsible AI and acceptable-use practices, approval and risk-review processes, data protection, human oversight, validation and accuracy controls, and model and output risk management.
- Protect CUI, proprietary data, personally identifiable information (PII), customer information, and other sensitive information.
- Evaluate vendors and platforms for security, data handling, interoperability, scalability, and cost.
- Establish appropriate monitoring of AI and automation solutions after deployment.
- Ensure solutions align with applicable federal customer requirements and industry frameworks.
- Evaluate inaccurate outputs, prompt injection, data exposure, relevant bias, and vendor retention/training practices.
- Apply NIST AI risk guidance proportionate to the use case and its potential consequences.
- Require business acceptance, documented security and data-owner approval, testing, change control, support ownership, rollback planning, monitoring, lifecycle funding, and required customer authorization before production deployment.
- Ensure AI agents operate with limited permissions and designated human approvals for consequential actions.

Strategic Initiatives and Executive Special Projects

- Serve as an enterprise problem solver for high-priority initiatives sponsored by the CEO or President.
- Rapidly assess ambiguous or cross-functional business problems, identify root causes, and conduct research, analysis, benchmarking, and technology assessments.
- Develop practical recommendations and business cases.
- Mobilize cross-functional teams, establish execution plans, and lead selected initiatives through implementation.
- Provide concise executive reporting on progress, risks, decisions, and results.
- Establish an agreed charter for assigned emerging priorities, including scope, sponsor, priority, resources, milestones, and outcomes.
- Assess technology/data integration for partnerships or acquisitions when assigned; transaction authority remains with executive leadership.

Leadership and Operating Accountability

- Directly lead the existing Enterprise IT & Security leadership and assigned staff after an approved handover. Additional positions require approval.
- Coordinate approved program SMEs, architects, data/automation specialists, and external partners through agreed priorities and available capacity.
- Partner with functional executives, who retain accountability for their organizations, policies, approvals, and business decisions.
- Implement technical controls and resolve technical findings while Enterprise Quality & Compliance independently governs readiness, coordinates audits, tracks corrective actions, and verifies closure.
- Partner with Growth on assigned technical solutioning while Growth retains pursuit strategy, leadership, and proposal process accountability.
- Partner with Service Delivery and PMs while they retain customer performance, program execution, staffing, revenue, margin, SLAs, and contract delivery.
- Coordinate with Finance on authoritative financial sources, definitions, savings validation, cost treatment, and official results.
- Execute within approved budgets and delegated authority. Escalate material risks, unresolved ownership or priority conflicts, and commitments beyond delegated limits to the President.
- Obtain required PM, Government, or prime-contractor authorization for customer production changes.
- Report reliability, risks, cost, adoption, realized value, dependencies, and decisions required through monthly service/security and transformation portfolio reviews and quarterly value reviews.

Required Qualifications

- Bachelor's degree in Computer Science, Information Systems, Engineering, Data/Analytics, Business, Technology, or a related field; equivalent highly relevant experience may be considered.
- At least 12 years of progressive experience across technology, federal consulting, enterprise transformation, solution development, operations, data/analytics, AI, or related disciplines.
- Demonstrated leadership experience in the Federal Government contracting environment.
- Demonstrated ability to move complex initiatives from concept through implementation.
- Experience designing or implementing enterprise transformation initiatives.
- Demonstrated accountability for enterprise IT and cybersecurity operations, including technical leaders, service providers, budgets, operational incidents, control implementation, and risk remediation, with evidence of actual operating responsibility and results.
- Demonstrated implementation of adopted improvements on active federal customer programs, working with PMs and customer authorities and showing measurable operating or mission value.
- Strong practical understanding of artificial intelligence, Generative AI, intelligent automation, data and analytics, business intelligence, cloud technologies, enterprise integration, and knowledge management.
- Experience translating complex mission or business problems into practical technology and operating solutions.
- Demonstrated federal pre-award technical solutioning across Business Development, Capture, and Proposal, including customer mission analysis, executable architectures/CONOPS, technical content and reviews, differentiators, realistic implementation assumptions, and delivery handoff.
- Evidence of technical ownership in partnership with Growth and Delivery.
- Ability to develop CONOPS, roadmaps, solution frameworks, operating models, and implementation plans.
- Ability to understand both technical architecture and business/operational implications.
- Demonstrated ability to lead cross-functional teams where participants may not report directly to the position.
- Strong executive communication and presentation skills.
- Ability to communicate complex technical concepts in clear business and mission terms.
- Strong judgment regarding technology investment, risk, scalability, and business value.
- Working knowledge of CUI protection, applicable NIST controls, CMMC readiness/evidence, contractual security obligations, and customer-authorized environments.
- Understanding of implementation, internal assurance, and external assessment as distinct responsibilities.
- Experience managing the full transformation lifecycle, including target operating models, build/buy/partner choices, implementation and support costs, change adoption, production acceptance, and measured value.

Preferred Qualifications

Experience in several of the following areas is preferred:

- Federal enterprise IT.
- IT service management / ITSM.
- Service desk/contact center transformation.
- AI/ML and Generative AI.
- Agentic AI/workflows.
- Robotic or intelligent process automation.
- Data engineering, business intelligence, and enterprise analytics.
- Cloud modernization.
- Cybersecurity / Zero Trust.
- Knowledge management.
- ServiceNow or comparable ITSM platforms.
- Microsoft/Azure ecosystem.
- AWS or other federal cloud environments.
- Power BI, Microsoft Fabric, Databricks, or comparable analytics platforms.
- Federal proposal and capture solutioning.
- Large-scale contract transition.
- Digital transformation.
- Technology consulting.

Relevant technical, cloud, AI/data, architecture, ITIL, PMP, or related certifications are valued but are not a substitute for demonstrated execution and results.

An advanced degree is desirable but not required.

Specific platforms depend on company and customer environments. The role requires executive technical depth and the ability to lead or challenge specialists; it does not require mastery of every platform or personal execution of every engineering, security, and data task.

Leadership Profile

- Builder: Can personally help shape prototypes, solutions, frameworks, and implementation approaches.
- Operator: Understands that solutions must work in real environments with customers, employees, budgets, schedules, contracts, security requirements, and operational constraints.
- Strategist: Can connect today's initiatives to the organization's long-term competitive position.
- Technologist: Understands modern AI, data, automation, cloud, analytics, and enterprise technology sufficiently to make informed decisions and challenge technical assumptions.
- Business Leader: Understands revenue, margin, ROI, investment trade-offs, scalability, and organizational priorities.
- Federal Solutions Leader: Understands how federal customers operate, buy, evaluate risk, and assess contractor solutions.
- Change Leader: Can gain cooperation across functional boundaries without depending solely on formal authority.
- Pragmatic: Knows when a simple solution is better than a sophisticated one.
- Results Oriented: Measures success by what was implemented and improved.

The VP is expected to participate practically in solution design and implementation decisions while delegating daily operations and sourcing specialist work. Leadership fit requires business judgment, operating follow-through, and the ability to gain cooperation across functions.

Work and Access Requirements

HR/Contracts validates work authorization, background screening, customer access, citizenship, or clearance requirements where assigned duties or contracts require them. Compensation, employment classification, and final work arrangements follow executive and HR approval.