[Remote] Managing Consultant, AI & Data

Note: The job is a remote job and is open to candidates in USA. Guidehouse is a consulting firm seeking a Managing Consultant to join their AI and Data Team. The role involves supporting utility clients with data-driven analysis and leading analytic work product development to address complex challenges in the energy and utilities sector.

Responsibilities

• Support utility clients in applying data‑driven analysis to complex planning, regulatory, and operational challenges
• Helping clients make informed decisions related to grid modernization, decarbonization, customer programs, and system reliability
• Support all phases of analytic work product development, from the identification of key business questions, through data collection and ETL, to performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers
• Translate client objectives and regulatory requirements into rigorous analytical approaches and scalable solutions
• Provide day‑to‑day leadership, mentoring junior staff, and ensuring high‑quality delivery across engagements

Skills

• A Bachelor's degree is required
• Minimum of FIVE (5) years of prior relevant experience performing data science/analytics, such as statistical modeling, predictive analytics, or machine learning
• Skilled in one or several programming languages, such as Python, PySpark, R, SQL, as well as version control software (e.g., Git)
• Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker)
• Outstanding problem-solving skills and critical thinking
• Excellent verbal and written communication skills; ability to simply convey complex concepts
• Highly developed organizational and time-management skills
• High degree of self-confidence and determination; ability to self-teach
• Experience managing teams and individuals
• Ability to work independently and as part of a team
• M.S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline
• Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models
• Demonstrated work experience within the utility industry
• Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

Company Overview

Company H1B Sponsorship