Systems Planning & Analysis · 4 hours ago
Vice President, Enterprise Data Services & Enterprise Applications
Alexandria, VA
Full-time
Onsite
Director/Executive
15+ years expSystems Planning and Analysis, Inc. (SPA) is a company that delivers high-impact, technical solutions to complex national security issues. The Vice President of Enterprise Data Services & Enterprise Applications is responsible for overseeing the entire enterprise data value chain and ensuring the integration and operation of core systems for high availability and scalability.
AnalyticsInformation Technology
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Master Data Management & M&A Integration
Single Source of Truth: Define and execute the enterprise MDM strategy using industry-leading iPaaS and Master Data Hub (MDH) platforms to establish and govern Golden Records across customer, employee, vendor, and financial domains
M&A Data Consolidation: Lead the ingestion, mapping, reconciliation, and normalization of acquired-company data into the enterprise data hub, ensuring unified visibility for leadership and line-side managers from day one
Data Orchestration: Own synchronization patterns between core enterprise systems and downstream analytics platforms, enforcing consistency, referential integrity, and lifecycle governance across the enterprise
Digital Core Ownership: Direct the architecture, reliability, and lifecycle management of enterprise backbone platforms, including Global HCM and project-based financial ERP systems supporting complex contracting environments
Pre-Merger Due Diligence: Assist in performing pre-M&A due diligence, focusing on assessing IT infrastructure and cybersecurity posture to identify potential risks and integration challenges
Post-Merger Application Migration: Design and execute application and identity migration strategies for acquired entities, minimizing business disruption while accelerating integration timelines
Trusted Data Services: Build and operate high-availability, secure data services that power mission-critical applications, ensuring performance, scalability, and resilience under operational and compliance constraints
Enterprise Analytics Vision: Define and scale an enterprise-wide analytics ecosystem using the Microsoft Power Platform, shifting from static reporting to near-real-time, decision-grade insights
Automated Intelligence: Leverage Power Automate to operationalize alerts, reporting workflows, and cross-platform data actions - eliminating manual data reconciliation and lagging indicators
Unified Reporting: Ensure financial, operational, and workforce reporting reflects a consolidated enterprise view, including post-acquisition performance, program health, and global headcount
Baseline AI Platform: Architect and deploy a scalable enterprise AI foundation integrating high-performance compute, vector databases, secure data access layers, and MLOps pipelines
Line-Side Rapid Development: Establish standardized AI “playgrounds” reusable components, and deployment patterns that enable business units to rapidly build, test, and operationalize AI-enabled solutions for front-line use cases
LLM & SLM Strategy: Orchestrate the use of Large Language Models (LLMs) for enterprise-wide knowledge and Small Language Models (SLMs) for domain-specific, low-latency, cost-efficient operational tasks
Operational Resilience: Maintain day-to-day health of the enterprise data and application stack, meeting or exceeding SLAs for uptime, throughput, and pipeline reliability
Scalable Architecture: Own the technical design of data and integration architectures capable of supporting organic growth and rapid expansion driven by M&A activity
Governance, Quality & Lineage: Implement automated controls for data quality, classification, and end-to-end lineage - from source systems through analytics and AI -building durable trust across the organization
KPIs: Collaborate closely with the IT data services and Business Intelligence team to develop and refine key engineering and operational KPIs, ensuring alignment with strategic goals and driving continuous improvement
Qualification
Required
15+ years of progressive IT and data leadership experience, including direct ownership of post-merger integration (PMI) and large-scale data platform delivery
Deep experience in the Defense Industrial Base (DIB), defense, or federal contracting environments, with a working understanding of regulatory, compliance, and audit expectations
Proven ability to lead in highly regulated, high-consequence environments where data accuracy and system availability are mission-critical
Expert-level experience with platforms such as Boomi, Informatica, MuleSoft, or Reltio
Hands-on leadership experience with SAP SuccessFactors, Workday, Deltek Costpoint, Oracle Cloud ERP, or equivalent systems
Mastery of the Microsoft Power Platform (Power BI, Power Automate) and modern data platforms such as Snowflake, Databricks, or Azure Synapse
Practical experience designing baseline AI platforms, implementing MLOps pipelines, and enabling LLM/SLM deployment for enterprise and operational use cases
Demonstrated ability to translate complex engineering and data initiatives into clear business value, risk reduction, and ROI
Trusted executive partner to CIOs, CFOs, and line-side leaders, with a track record of delivery - not just vision
Graduate degree in Computer Engineering, Data Science, or Information Systems required
U.S. Citizen with the ability to obtain and maintain a security clearance
Preferred
MBA preferred
Company
Systems Planning & Analysis
Systems Planning & Analysis (SPA) is a leading global provider of data-driven analytical insights for critical national security programs.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2021-10-06Acquired
Leadership Team
Richard Sawchak
Chief Executive Officer
Bruce Phillips
Vice President, Emerging Markets Growth
Recent News
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