The Vice President, Enterprise Technology & Innovation

Omniscius Consulting•Ashburn, VA

About The Position

The Vice President, Enterprise Technology & Innovation (VP, ET&I) reports to the President and directly leads Enterprise IT & Security. As a member of the Executive Leadership Team, the VP connects Growth, Service Delivery, Technology, Quality and Compliance, Corporate Services, and Executive Leadership, with direct CEO access for assigned priorities and material risks. The role leads three connected missions: internal enterprise transformation; innovation across current customer programs; and technical solutioning for recompetes and new business from early Business Development through Capture, Proposal, and delivery handoff. Reliable, secure corporate technology is the foundation for these missions. The VP sets priorities, investments, risk treatment, and expected results while delegating daily IT and security execution to the existing leader. The VP leads corporate IT and cybersecurity performance, enterprise architecture and integration, technical standards, technology investment, security controls, incident preparedness, resilience, and applicable CUI, NIST, and CMMC implementation and evidence. The role also leads a prioritized transformation portfolio spanning business processes, AI and intelligent automation, data and decision intelligence, service delivery innovation, and reusable enterprise knowledge and intellectual property. Initiatives are expected to have defined sponsors, owners, baselines, acceptance criteria, funding, adoption measures, and measurable operational, financial, mission, or customer value. For active customer programs, the VP partners with the VP, Service Delivery and program leadership to identify and implement improvements within contract scope, funding, authorized systems, and required approvals. For growth pursuits, the VP partners with the VP, Strategic Growth, Capture leaders, technical SMEs, Delivery, and executives to develop differentiated, executable technical solutions, architectures, demonstrations, proposal content, and delivery handoffs. The role also develops reusable accelerators and evidence of customer value, subject to required permissions, data/IP rights, confidentiality, and licensing. The VP is accountable for responsible, secure, and governed adoption of AI and emerging technology, including data protection, human oversight, validation, risk review, production readiness, monitoring, support ownership, and required customer authorization. The role may also lead CEO- or President-sponsored enterprise initiatives and assigned technology/data integration assessments for partnerships or acquisitions. It operates within approved budgets and delegated authority, escalates material risks and unresolved conflicts to the President, and reports reliability, risk, cost, adoption, realized value, dependencies, and decisions through monthly and quarterly reviews. The successful candidate is a builder, operator, problem solver, and strategist who can take initiatives from problem definition through design, prototype, pilot, implementation, measurement, and reuse. The role requires technical depth to evaluate solutions and business judgment to determine where technology should—and should not—be applied. The VP participates practically in solution and implementation decisions while delegating daily operations and sourcing specialist work.

Requirements

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 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 technical architecture and its business and operational implications.
Demonstrated ability to lead cross-functional teams whose 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.

Nice To Haves

Experience in federal enterprise IT.
Experience in IT service management / ITSM.
Experience in service desk/contact center transformation.
Experience in AI/ML and Generative AI.
Experience in agentic AI/workflows.
Experience in robotic or intelligent process automation.
Experience in data engineering, business intelligence, and enterprise analytics.
Experience in cloud modernization.
Experience in cybersecurity / Zero Trust.
Experience in knowledge management.
Experience with ServiceNow or comparable ITSM platforms.
Experience with the Microsoft/Azure ecosystem.
Experience with AWS or other federal cloud environments.
Experience with Power BI, Microsoft Fabric, Databricks, or comparable analytics platforms.
Experience in federal proposal and capture solutioning.
Experience in large-scale contract transition.
Experience in digital transformation.
Experience in technology consulting.
Relevant technical, cloud, AI/data, architecture, ITIL, PMP, or related certifications.
An advanced degree.

Responsibilities

Lead the existing Enterprise IT & Security leader, assigned staff, and service providers; delegate day-to-day execution while remaining accountable for outcomes.
Define technology service ownership, support standards, escalation, staffing coverage, operational priorities, and an integrated technology roadmap.
Own enterprise architecture and integration, infrastructure, networks, cloud and collaboration platforms, endpoints, approved environments, capacity, and platform lifecycle.
Manage approved technology budgets, investment priorities, licenses, renewals, asset inventories, vendor performance, and service agreements.
Ensure identity and access management, least privilege, privileged access controls, 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, security documentation, and remediation plans, including for applicable CUI environments.
Match security controls to contracts, data types, system boundaries, and assessment scope; support relevant NIST requirements and CMMC obligations.
Maintain tested backups, recovery procedures, resilience objectives, incident-response exercises, and recovery tests; assign corrective actions and verify follow-through.
Lead incident preparedness, technical containment, investigation support, and recovery; promptly escalate material incidents and coordinate required notifications through designated contractual channels.
Own corporate technical standards and technical security policies and procedures within delegated authority; submit enterprise policy changes through established governance and provide evidence for independent Quality & Compliance review.
Require appropriate architecture, security, data-owner, change-control, and operational-readiness reviews for corporate production changes, including testing, runbook and support ownership, rollback, monitoring, and lifecycle funding.
Lead a prioritized portfolio of initiatives to improve organizational scalability, productivity, operational effectiveness, and management visibility.
Assess processes across Service Delivery, Growth, Finance, HR, Recruiting, Contracts, IT, and other corporate functions; identify processes to redesign, automate, integrate, or eliminate.
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, establishing objectives, owners, milestones, dependencies, risks, and success measures.
For each approved initiative, confirm a business sponsor, process owner, baseline, acceptance criteria, funding, training needs, support owner, and adoption measures.
Lead practical adoption of AI, intelligent automation, and emerging technologies; maintain a prioritized enterprise AI and automation portfolio.
Identify, evaluate, prototype, pilot, implement, and measure AI, GenAI, machine learning, automation, analytics, and agentic workflow opportunities in approved environments using authorized data.
Develop AI-enabled solutions for areas including knowledge management, research and analysis, service desk operations, incident and problem management, technical support, customer experience, proposal development, workforce analytics, reporting, decision support, and administrative processes.
Evaluate whether to build, buy, configure, partner, or avoid proposed technologies, and measure their productivity, quality, cost, mission, or customer impact.
Establish an enterprise data and intelligence roadmap; identify priority data, sources, owners, definitions, interfaces, access rights, quality, lineage, retention, and lifecycle responsibilities.
Work with functional owners to establish trusted metrics and authoritative sources; reduce manual reconciliation, spreadsheet dependency, duplicate reporting, and disconnected data.
Develop executive dashboards and decision-support capabilities covering areas such as revenue, margin, staffing, utilization, vacancies, contract funding and burn, program performance, growth pipeline, recruiting, customer delivery, and enterprise risk.
Establish appropriate data governance, ownership, quality, accessibility, security, and lifecycle practices; identify data freshness, gaps, and limitations and restrict sensitive data to authorized roles.
Partner with the VP, Service Delivery and program leadership to identify and implement customer program improvements, including ITSM automation, service desk optimization, knowledge management, analytics, forecasting, reporting, process automation, and continuous service improvement.
Agree with program leadership on mission problems, baselines, expected value, and acceptance criteria; implement within contract scope, funding, authorized systems, workforce obligations, and required approvals.
Use controlled pilots, readiness reviews, and rollback plans to protect service performance; coordinate implementation and acceptance through PMs and required customer authorities.
Partner with Growth, Capture leaders, Delivery, technical SMEs, and executive leadership on strategic pursuits and recompetes; translate customer mission requirements and capture strategies into differentiated, executable solutions.
Lead assigned technical solutioning throughout the pre-award lifecycle, agreeing with Growth on the solution lead, team, deliverables, review dates, and available capacity.
During Business Development, shape credible technical concepts, capability briefings, permitted demonstrations, partner options, and supporting evidence based on customer missions and capability gaps.
During Capture, develop solution alternatives, architectures, CONOPS, transition and implementation plans, discriminators, and build/buy/partner choices; identify technical risks, dependencies, staffing needs, security requirements, and cost assumptions.
During Proposal, own assigned technical solutions and the accuracy, consistency, and executability of technical content; trace requirements, lead technical writing and reviews, support demonstrations and oral presentations when required, and validate assumptions with Delivery, Finance, Contracts, and partners.
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.
Develop solution architectures, CONOPS, management and transition approaches, automation and AI/data strategies, technical roadmaps, operating models, and performance frameworks.
Develop prototypes, demonstrations, reusable proposal content, architectures, methodologies, accelerators, and intellectual property; review licensing, security, staffing, implementation effort, dependencies, and support costs with relevant functions.
Identify innovations that can be adapted across programs; develop reusable accelerators and demonstrations and document measurable results for permitted external use, obtaining required permissions.
Review contract data/IP rights, confidentiality, customer permissions, and third-party licensing before reuse or publication of capabilities and artifacts.
Develop enterprise knowledge-management and AI-assisted discovery capabilities and reusable libraries for solutions, lessons learned, architectures, automation, dashboards, proposal content, and best practices.
Assign owners, versions, access rules, maintenance responsibilities, and reuse instructions to knowledge assets; confirm rights and permissions before sharing or reusing customer-funded artifacts or data.
Work with Quality & Compliance, Contracts, Legal, data owners, and program leadership to establish responsible AI practices, approvals, risk reviews, data protection, human oversight, validation, and model/output risk management.
Protect CUI, proprietary information, PII, customer information, and other sensitive data; evaluate vendors and platforms for security, data handling, interoperability, scalability, and cost.
Monitor deployed AI and automation solutions; evaluate inaccurate outputs, prompt injection, data exposure, relevant bias, and vendor retention or training practices, applying NIST AI risk guidance proportionate to use and consequences.
Require business acceptance, documented security and data-owner approval, testing, change control, support ownership, rollback planning, monitoring, lifecycle funding, and customer authorization before production deployment; ensure consequential agent actions have limited permissions and designated human approval.
Serve as an enterprise problem solver for high-priority CEO- or President-sponsored initiatives; assess ambiguous problems, conduct research and analysis, develop recommendations and business cases, mobilize teams, and lead selected initiatives through implementation.
Establish charters for assigned emerging priorities, including scope, sponsor, priority, resources, milestones, and outcomes; assess technology/data integration for partnerships or acquisitions when assigned.
Coordinate approved program SMEs, architects, specialists, and external partners through agreed priorities and available capacity.
Partner with functional executives while preserving their 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 technical solutioning while Growth retains pursuit strategy, leadership, and proposal-process accountability; partner with Service Delivery and PMs while they retain customer performance and delivery accountability.
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.