Guidehouse Logo

Guidehouse

Managing Consultant, AI & Data

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Location, WV
141K-235K Annually
Senior level
In-Office or Remote
Hiring Remotely in Location, WV
141K-235K Annually
Senior level
The Managing Consultant will guide utility clients in using data analysis to solve planning and operational challenges, ensuring quality delivery and mentoring junior staff.
The summary above was generated by AI

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:
We are seeking a Managing Consultant to join our growing AI and Data Team. This role is ideal for someone who brings strong analytical expertise and a deep understanding of the energy and utilities landscape. You will 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. In this role, you will 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. This role requires the ability to translate client objectives and regulatory requirements into rigorous analytical approaches and scalable solutions, while providing day‑to‑day leadership, mentoring junior staff, and ensuring high‑quality delivery across engagements.
What You Will Need:

  • 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 

What Would Be Nice To Have:

  • 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

The annual salary range for this position is $141,000.00-$235,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • 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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Top Skills

Amazon Web Services
Azure
Docker
Git
GCP
Pyspark
Python
R
SQL

Similar Jobs

12 Hours Ago
In-Office or Remote
United States
Mid level
Mid level
AdTech • Big Data • Digital Media • Marketing Tech • Database • Automation
As a Demand Generation Lead, you'll execute multi-channel marketing programs, optimize campaigns across email, paid media, and social, and collaborate with sales for pipeline growth.
Top Skills: GongHubspotLeadiqLinkedin Sales NavigatorSalesforce
15 Hours Ago
Easy Apply
Remote
United States
Easy Apply
102K-155K Annually
Mid level
102K-155K Annually
Mid level
Big Data • Fintech • Mobile • Payments • Financial Services
The Analyst II will provide data-driven insights and support to the sales team, define performance metrics, leverage AI tools, and ensure effective communication of strategies across teams.
Top Skills: Ai Tools (CursorClaude)LookerPythonSigmaSQLTableau
15 Hours Ago
Easy Apply
Remote
United States
Easy Apply
66K-66K Annually
Internship
66K-66K Annually
Internship
Big Data • Fintech • Mobile • Payments • Financial Services
As a Software Engineering Apprentice, you will collaborate with engineers to build infrastructure, ship code, and gain mentorship while contributing to critical projects over a 6-month apprenticeship.
Top Skills: Backend DevelopmentCodingSoftware Engineering

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account