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Vice President, Enterprise Strategy & Intelligence

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: DecisionPoint Corporation
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Intelligence
Salary/Wage Range or Industry Benchmark: 230000 - 320000 USD Yearly USD 230000.00 320000.00 YEAR
Job Description & How to Apply Below

Overview

DecisionPoint Corporation is seeking a Vice President, Enterprise Strategy & Intelligence
, a cross-functional leader responsible for turning strategic ideas, emerging technologies, company data, and operational challenges into executable solutions that accelerate DecisionPoint's growth and improve how the company operates.

Areas of Responsibility:

The Vice President serves as a bridge between Growth and Capture, Operations, Technology, and Executive Leadership, with three interconnected responsibilities:

  • Operationalize pre-award solutions by translating customer requirements, capture strategies, technical concepts, and company capabilities into differentiated, executable solutions.
  • Lead strategic and special projects that solve complex, cross-functional business challenges and advance corporate priorities.
  • Serve as DecisionPoint's enterprise data and AI leader, establishing how the company understands, connects, governs, and uses its data while identifying and implementing practical AI solutions that improve decision‑making, productivity, and business performance.

This role is both strategic and hands‑on. This position is expected not only to identify opportunities and develop strategies, but also to prototype solutions, build frameworks, mobilize stakeholders, and drive ideas through implementation.

This is a hybrid position, with in‑person meetings at DecisionPoint offices in Reston, Virginia as required. Upon future contract award and assignment to a program, travel will be required based on program and customer needs.

Duties & Responsibilities

Enterprise Data Strategy & Intelligence. Serve as the company's Data Officer, establishing the strategy and mechanisms necessary to turn fragmented corporate data into trusted, actionable enterprise intelligence.

  • Develop and execute DecisionPoint's enterprise data strategy.
  • Identify critical company data across Growth, Finance, HR, Recruiting, Operations, Contracts, Delivery, and other business functions.
  • Establish a common understanding of what data exists, where it resides, who owns it, how it connects, and how it can be used.
  • Define data governance, stewardship, quality, accessibility, security, and lifecycle practices appropriate to the organization.
  • Develop enterprise data models, dashboards, metrics, and analytical capabilities that provide leadership with improved visibility into company performance.
  • Identify opportunities to integrate data across corporate systems and reduce manual reconciliation and disconnected reporting.
  • Establish trusted metrics and authoritative data sources for key business decisions.
  • Partner with functional leaders to convert business questions into measurable data products, analytics, and decision‑support capabilities.

AI Strategy, Experimentation & Adoption. Lead the practical application of AI as a business and growth accelerator, focusing on measurable problems rather than technology for technology's sake.

  • Develop and maintain a prioritized portfolio of enterprise AI use cases.
  • Identify high‑value opportunities for AI, intelligent automation, analytics, and agentic workflows across Growth and corporate operations.
  • Rapidly prototype and evaluate emerging AI technologies against real DecisionPoint business problems.
  • Develop AI‑enabled workflows that improve research, solution development, knowledge management, analysis, reporting, decision support, and repetitive business processes.
  • Establish repeatable methods for moving AI concepts from idea → prototype → pilot → production → measurement.
  • Evaluate emerging AI platforms, models, vendors, and capabilities and recommend where DecisionPoint should invest, partner, build, or avoid.
  • Establish responsible AI practices addressing security, data protection, human oversight, accuracy, governance, and acceptable use.
  • Build organizational AI literacy and help functional teams redesign processes around new capabilities rather than simply layering AI onto existing workflows.
  • Identify opportunities where internal AI capabilities can become customer‑facing differentiators, accelerators, or offerings.

Strategic Initiatives & Special Projects. Serve as an enterprise problem solver for…

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