Hiring.Camp

Director - AI & Data - Energy Providers

Guidehouse is

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Salary
$206k – $343k
Location
GH Office: Boulder, CO, United States of America · US - Remote (Any location)
Workplace
Remote
Type
Full-time
Seniority
Director
Clearance
Not required
Source
Workday

Description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do

We are seeking an experienced Director to lead our AI & Data practice within Energy Providers. This individual will drive business growth, build trusted relationships with utility clients and technology partners, lead strategic AI and data engagements, and develop a high-performing team.

The Director will work across utility business functions and Guidehouse capabilities to identify opportunities where AI, data, analytics, and emerging technologies can address critical business needs and deliver measurable value.


Business Growth & Client Leadership

  • Drive growth of AI, data, and analytics services across the Energy Providers market, developing relationships with utility executives and leaders across both enterprise technology functions and individual business units.
  • Identify, shape, and convert client needs into new opportunities spanning AI strategy and adoption, data strategy and governance, advanced analytics, data platforms, and technology-enabled transformation.
  • Lead strategic pursuits from early client conversations through capture, solution development, proposals, presentations, and contract award.
  • Develop go-to-market strategies and build relationships with technology partners to create differentiated solutions and joint opportunities.

Client Delivery & Solution Leadership

  • Lead strategic AI, data, and analytics engagements, serving as a senior client advisor while maintaining accountability for delivery quality, business outcomes, and client relationships.
  • Translate utility business challenges into practical AI and data strategies, roadmaps, solutions, and implementation approaches.
  • Bring together utility domain expertise, data science, engineering, architecture, technology, and change capabilities to deliver integrated solutions.
  • Guide the development and scaling of differentiated offerings, accelerators, and analytical solutions based on emerging client and market needs.

Team & Practice Leadership

  • Lead and develop a multidisciplinary AI & Data team, establishing priorities across growth, delivery, talent, and capability development.
  • Coach and develop leaders and staff while overseeing workforce planning, staffing, recruiting, utilization, and career development.
  • Build capabilities aligned with evolving client demand, technology trends, and the business growth strategy.
  • Represent AI & Data across Energy Providers and Guidehouse, fostering collaboration with account teams, industry leaders, and complementary technology capabilities.

What You Will Need

  • Bachelor’s degree from an accredited university, preferably in engineering, data science, computer science, information systems, business, economics, or related field.
  • TEN (10)+ years of experience in consulting, utilities, technology, AI, data, or analytics, including senior leadership responsibilities.
  • Demonstrated success developing business and originating, shaping, and winning complex AI, data, analytics, or technology opportunities.
  • Strong utility industry knowledge and the ability to engage credibly with executives and business leaders across technology and operational functions.
  • Experience leading complex AI, data, analytics, or technology engagements from strategy through implementation.
  • Strong understanding of modern AI and data ecosystems, including data platforms, cloud technologies, data engineering, advanced analytics, machine learning, generative AI, and governance.
  • Demonstrated ability to build strategic relationships with clients, technology partners, and internal stakeholders.
  • Proven ability to lead and develop multidisciplinary teams and senior professionals.
  • Exceptional executive communication, facilitation, relationship-building, and problem-solving skills.

What Would Be Nice to Have

  • Advanced degree in business, engineering, data science, artificial intelligence, computer science, or related field.
  • Leadership experience within a utility, energy technology company, consulting firm, or technology provider serving utilities.
  • Experience with enterprise AI transformation, data modernization, data governance, or advanced analytics programs within utilities.
  • Experience with platforms such as Microsoft Azure, Snowflake, Databricks, AWS, Google Cloud, Palantir, or Esri ArcGIS.
  • Experience developing strategic technology alliances, joint offerings, or co-selling relationships.
  • Relevant cloud, data, AI, architecture, or program management certifications.

The annual salary range for this position is $206,000.00-$343,000.00. 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.

Skills

AWSAzureMachine LearningSnowflakeDatabricksData ScienceData EngineeringProgram Management

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