Client Engagement Manager

Posted Yesterday
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Charlottesville, VA, USA
In-Office
Senior level
Artificial Intelligence • Big Data • Database • Analytics • Consulting
The Role
Lead and manage client relationships and analytics project delivery, partner with internal technical teams and Portfolio Directors to define engagement strategy and growth, oversee project planning, metrics, proposals, documentation, and team development to ensure high-quality analytics solutions and portfolio expansion.
Summary Generated by Built In

Client Engagement Manager

General Information

Requisition #727

Locations USA-Charlottesville, VA -Raleigh, NC – Atlanta, GA

Posting Date 07/20/2026

Security Clearance Required – No Clearance Required

Remote Type N/A

Time Type Full time

Description & Requirements

Elder Research Inc., a ManTech Company, (ERI) is a consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. We work in a fast-paced environment, solving new and challenging problems on a daily basis. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.

ERI is currently seeking a Client Engagement Manager (CEM) to serve our Commercial clients. A CEM will have the opportunity to develop and utilize leadership skills, build strong relationships internally and externally, intersect their passion for advanced analytics to both project delivery and business strategy, and oversee the health and growth of their clients. Candidates in, or willing to relocate to, Raleigh, NC, Charlottesville, VA or Atlanta, GA will be considered.

Project Delivery

A CEM will drive technology and analytics delivery by managing client relationships, consulting projects, and technology teams. Internally, they regularly interface with executive leaders and service lines of Engineers, Data Scientists, Technical Business Analysts, and other experts 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 Portfolio Directors 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 technical service line leaders to outline service offerings and with Portfolio Directors to develop roadmaps for on-contract growth.

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 positive 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, project management.
  • 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). Able to create clarity from ambiguity.
  • 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 the value of data science, statistics, and machine learning to clients and their business.
  • Collaborative Team Member. You are a collaborative member of a high-functioning team, able to navigate uncertainty and multiple perspectives towards client and organizational success.

Responsibilities:

  • Contribute to project planning as it relates to resources required, applicable solutions, scope, schedule, cost, and client engagement.
  • Monitor and report on critical metrics like utilization, burn rate, timeline, and risk.
  • Contribute to internal and external documentation of efforts such as project summary reports, blogs, retrospectives, and quarterly reviews.
  • Facilitate client engagements and relationships in partnership with other leaders, with an eye towards growth and expansion.
  • Contribute to 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.
  • Partner with other Service Line managers to drive continuous feedback, team upskilling, and professional growth to ensure high-quality client delivery.

Requirements:

  • Bachelor’s degree in engineering, business, or 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

Desired Skills (but not required):

  • Experience in CPG, manufacturing, finance, insurance, or hospitality.
  • 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.

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at [email protected] and provide your name and contact information.

Skills Required

  • Bachelor's degree in engineering, business, or 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 and managing client engagements
  • Multi-year experience growing and expanding business portfolios
  • Experience in CPG, manufacturing, finance, insurance, or hospitality
  • Master's degree in math, statistics, engineering, or business administration
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The Company
HQ: Charlottesville, VA
120 Employees
Year Founded: 1995

What We Do

Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.

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