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Program Manager- Intel TS w​/polygraph

Job in Washington, District of Columbia, 20022, USA
Listing for: LMI Consulting, LLC
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Job Location s

US-DC-Washington, DC

Overview

The Program Manager will own a portfolio of analytics and emerging-technology work for our customer, including data science, AI/ML, software development, modeling and simulation, and related mission solutions. This individual will be accountable for portfolio performance and growth, including securing a prime contract vehicle, shaping new opportunities, and expanding the portfolio through pilots and LMI solutions. This position is an onsite position in the National Capital Region and requires a TS/SCI with Poly.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively.

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Own growth and performance across a portfolio of technical Intelligence work.
  • Manage a team of Program Managers and resolve day-to-day delivery, staffing, financial, and customer issues.
  • Build trusted customer relationships and identify new mission needs and opportunities.
  • Shape emerging-technology pursuits involving data science, machine learning, and AI.
  • Develop pilots using LMI technology and convert successful pilots into larger programs.
  • Lead opportunity shaping, solution development, pricing, proposals, and transition to delivery.
  • Develop and execute portfolio growth plans aligned with client priorities.
Qualifications
  • At least five years of experience supporting the Intel customer.
  • Proven experience leading technical programs with annual revenue of $3M or more.
  • Proven experience leading the full capture lifecycle, from opportunity identification and teaming through solution development, pricing, proposal submission, and award.
  • Demonstrated understanding of the USG mission, organization, and acquisition environment.
  • Demonstrated experience leading technical teams or portfolios, preferably in analytics, data science, AI/ML, software, modeling and simulation, or related mission technologies.
  • Strong leadership, communication, and executive presentation skills.
  • Technically adept and business-focused to interface across technical disciplines and senior leadership
  • Superior oral and written communication skills
  • Exceptional organizational skills and a deep understanding of project management best practices
  • Demonstrated ability to balance competing priorities and exhibit flexibility based on changing client needs
  • High level of business acumen, ability to develop and implement strategy
  • Strong connector who can make insightful connections to bring the right people together to solve problems and grow the business
  • This position requires TS/SCI with Poly Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Bonus Qualifications
  • Demonstrated success converting pilots into funded programs or follow-on work.
  • Familiarity with retrieval-augmented generation (RAG) and modeling and simulation solutions.
  • Experience growing work through prime contract…
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