Strategic Analytics Engagement Lead

Elder Research Inc; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Elder Research Inc., a leading analytics consultancy, seeks a Client Engagement Manager to lead analytics delivery and client relationships in Charlottesville, VA or Raleigh, NC. You will coordinate with data scientists, data engineers, and software developers to scope projects, manage timelines, and ensure value delivery.

Ideal candidates have strong consulting background, multi-year project leadership experience, and excellent communication skills to articulate data science value to clients.

Qualifications

• Leaders who can motivate teams and drive outcomes.
• Strategic thinkers who can define and execute engagement plans.
• Strong technical background across analytics, data science, or software.
• Extensive consulting experience with client engagements and delivery.
• Energetic and creative problem-solvers who learn quickly.
• Excellent listening, communication, and presentation skills.

Responsibilities

• Provide consulting guidance to data science and engineering teams on business analysis and analytics delivery.
• Monitor metrics such as utilization, burn rate, timeline, and risk.
• Facilitate client engagements and relationships with ERI leaders.
• Collaborate with Directors and VPs to review growth opportunities.
• Create project proposals, statements of work, and price proposals for new work.
• Maintain a solid understanding of analytics techniques and solutions.

Skills

Leaders

Strategic thinker

Technical

Experienced consultants

Energetic & creative

Communication skills

Education

Bachelor’s degree in engineering, business, or other technical field

Job description

Elder Research Inc., a leading analytics consultancy, seeks a Client Engagement Manager to lead analytics delivery and client relationships in Charlottesville, VA or Raleigh, NC. You will coordinate with data scientists, data engineers, and software developers to scope projects, manage timelines, and ensure value delivery.

Ideal candidates have strong consulting background, multi-year project leadership experience, and excellent communication skills to articulate data science value to clients.