client engagement manager - Arlington, VA , USA, United States - Elder Research

Description

Client Engagement Manager


Location:
Washington, DC Metropolitan Area

Elder Research Inc. is a consulting firm specialized in providing analytic solutions for clients in Government and Commercial industries.

We are seeking to hire a Client Engagement Manager (CEM) who will engage, consult, and communicate with clients to understand their business needs, and lead a team of data scientists, data engineers and data analysts to develop and build data analytic solutions and tools for government clients.

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.

Elder Research, Inc. (ERI) is currently seeking a CEM for our Government Civilian business unit.

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 portfolio of clients.

Candidates in, or willing to relocate to, the Washington, DC Metropolitan Area will be considered.

Project Delivery

A CEM will drive technology and analytics delivery by (1) managing and leading technical team members, (2) managing all facets of project execution and high-quality delivery in scope, on time, within budget, (3) managing client expectations and client satisfaction in product delivery, and (4) overseeing contractual, financial, and resourcing data and information for the client and the ERI organization.

The best CEMs will also have an understanding and appreciation for data, analytics, and technology, and will have involved in the design, build, test, deploy phases of data analytics and data science products and solutions.

Internally, they regularly interface with technical data scientists, data engineers, data analysts, and software engineers to aid in business analysis, requirements gathering, technology design and delivery, and quality assurance.

Externally, they regularly interface with clients at numerous levels of an organizationprogram managers, stakeholders, end-users, data owners, analysts, IT groups, and managementto facilitate and lead the tactical delivery of analytics projects.

The best CEM candidates are:

• Growing Leaders. Humble, yet 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. See the big picture, and comfortable communicating and guiding clients towards greater organizational change and evolution.
• 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).
• Technical. Experience in a subset of the following or related fieldsengineering, software development, programming, data management and architecture, business intelligence, data mining, operations research, machine learning, analytics delivery.
• Effective Listeners, Communicators, and Presenters. You know what to say, you know who youre 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.
• Energetic and Creative. Life-long learners. Eager to grow and stay on top of a rapidly evolving analytics and data science industry.

Responsibilities:

• Lead technical and analytics delivery teams, contracts, and client relationships.
• Apply project management and consulting best practices and processes (i.e., PMP, Agile, Scrum, SAFe, DevOps) to ensure quality deliverables in scope, on time, and within budget.
• Work with and alongside technical team members and provide consulting support in areas such as business analysis, requirements gathering, project scoping, project schedules, risk management, communications, and change management.
• Manage and lead technical staff including data analysts, data engineers, and data scientists towards engagement, high quality delivery, and client satisfaction.
• Responsible and accountable for contract finances, resources, and risks. Monitor and report on critical metrics like utilization, burn rate, timeline, and risk.
• Facilitate client engagements and relationships in partnership with other ERI leaders.
• Work with leadership to review growth and expansion opportunities.
• Maintain and communicate a solid understanding of analytics and data science techniques, tools, approaches, methodologies, and solutions.

Requirements:

• Bachelors degree in or a technical field and/or business
• Multi-year experience with leading projects within industry standard project management frameworks (i.e., PMP, Waterfall, Agile, Scrum, Kanban)
• Multi-year experience in the consulting industry (technology, management, strategy) and managing client engagements with either internal or external clients
• Experience with government contracting or experience working with federal government agencies

Desired Skills (but not required):

• Involved in team efforts to design and deploy data and analytics solutions that involve querying databases, analyzing data, building data pipelines, and applying data science concepts such as supervised and unsupervised, text mining, and graph analytics
• Project Management Professional (PMP) Certified
• Agile Certified
• IRS Public Trust Clearance (Preferred)
• Multi-year experience growing and expanding federal government portfolios
• Masters degree in data science, data analytics, math, statistics, engineering, computer science, or business administration.

About Elder Research, Inc

Elder Research is a fast-growing consulting firm specializing in predictive analytics.

Being in the data science business over 20 years, we pride ourselves in our ability to find creative and innovative solutions to real world problems.

We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong teamwork.

Elder Research believes in continuous learning; each week the entire company attends a Tech Talk followed by an office lunch.

Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies.

By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others.

Elder Research, Inc. is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and our positions require US Citizenship.