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Client Engagement Manager

Job in Charlottesville, Albemarle County, Virginia, 22904, USA
Listing for: ManTech International
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems & Technology Analysis, IT Project Manager
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH!

MANTECH international Corporation seeks a motivated, career and customer-oriented
Client Engagement Manager
to join our team in
Charlottesville, VA or Raleigh, NC.

Project Delivery

A CEM will drive technology and analytics delivery by managing client relationships, consulting projects, and technology teams. Internally, they regularly interface with technical data scientists, data engineers, and software engineers to aid in business analysis, technology design and delivery, quality assurance, and project reporting. Externally, they regularly interface with clients at numerous levels of an organization—project managers, stakeholders, end-users, data owners, analysts, IT groups, management, and executives—to drive the tactical delivery of analytics projects.

Engagement

Strategy

As they grow in experience and responsibility, a CEM will assume a larger role in partnering with client managers and executives to define and drive an analytics strategy and roadmap. They will develop long range engagement plans that outline strategy growth initiatives for their portfolio of clients. They will interface with our data science and engineering leaders to develop technology roadmaps.

They will interface with our Directors and Vice Presidents to review growth and expansion opportunities.

The best CEM candidates are:
  • Leaders. Strong, humble, motivated individuals that are servant-leaders. Active listener, and able to take and apply feedback. Willing to make decisions and be accountable for successes and failures.
  • Strategic thinkers and doers. See the big picture, and comfortable communicating and driving clients towards greater organizational change and evolution.
  • Technical. Experience in a subset of the following or related fields—engineering, software development, programming, data management and architecture, business intelligence, data mining, operations research, machine learning, analytics delivery.
  • Experienced Consultants. Understand and appreciate both hard consulting skills (processes, life cycles, project management, management and strategy consulting frameworks) and people skills (relationship building, engagement, trust, communication).
  • Energetic and Creative. Life-long learners. Eager to grow and stay on top of a rapidly evolving analytics and data science industry.
  • Effective Listeners, Communicators, and Presenters. You know what to say, you know who you’re talking to, and you work hard to say it the right way. Ability to articulate to clients the value of data science, statistics, and machine learning to their business.
Responsibilities include but are not limited to:
  • Provide consulting support and guidance to data science and engineering teams on business analysis, technology approach, analytic solutions, project management process (scope, schedule, cost), and client engagement to drive delivery success.
  • Monitor critical metrics like utilization, burn rate, timeline, and risk.
  • Facilitate client engagements and relationships in partnership with other ERI leaders.
  • Work with Directors and Vice Presidents to review growth and expansion opportunities.
  • Create project proposals (scope, level of effort estimates, schedules), statements of work, and price proposals for new work and expansions to existing work.
  • Maintain and communicate a solid understanding of analytics and data science techniques, tools, approaches, methodologies, and solutions.
Minimum Qualifications:
  • Bachelor’s degree in engineering, business, or other technical field.
  • Multi-year experience with project management and/or software development life cycles
  • Multi-year experience managing and delivering complex projects
  • Multi-year experience in the consulting industry (technology,…
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