Client Engagement Manager

Elder Research

$100K — $120K *
Hospitality & Recreation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in engineering, business, or technical field
  • Multi-year experience in project management or software development lifecycles
  • Multi-year experience managing and delivering complex projects
  • Multi-year experience in the consulting industry managing client engagements
  • Multi-year experience growing business portfolios

Responsibilities

  • Provide consulting support to data science and engineering teams on business analysis and technology
  • Monitor key project metrics such as utilization and risk
  • Facilitate client relationships alongside other ERI leaders
  • Collaborate with Directors and VPs to explore growth opportunities
  • Create project proposals and statements of work for new and ongoing projects
  • Maintain a solid understanding of analytics and data science methodologies

Benefits

  • Opportunity to work with a dynamic, collaborative team
  • Access to professional development and continuous learning
  • Engagement in diverse and impactful analytics projects
  • Potential to grow into strategic roles with increased responsibilities
  • Involvement with senior leaders for career networking and mentorship
Full Job Description
Client Engagement Manager

General Information

Requisition #730

Locations USA-VA-Charlottesville, USA-NC-Raleigh

Posting Date 08/18/2026

Security Clearance Required - No Clearance Required

Remote Type N/A

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of 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, lifecycles, 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 lifecycles
  • Multi-year experience managing and delivering complex projects
  • Multi-year experience in the consulting industry (technology, management, strategy) and managing client engagements with either internal or external clients
  • Multi-year experience growing and expanding business portfolios

Preferred Qualifications:
  • Experience in the Hospitality industry.
  • Master's degree in math, statistics, engineering, or business administration.

Physical Requirements:
  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

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