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Director - AI & Data - Energy Providers

Pay
$206,000–343,000/year — pay source
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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Employer’s visa record
39 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Grow AI, data, and analytics services with utility executives and business units

  • Lead strategic pursuits from client conversations through contract award

  • Lead strategic AI, data, and analytics engagements as senior client advisor

  • Translate utility challenges into AI and data strategies and roadmaps

  • Lead and develop the multidisciplinary AI and data team, including staffing and recruiting

From the employer’s posting
Drive growth of AI, data, and analytics services across the Energy Providers market
Lead strategic pursuits from early client conversations through capture, solution development, proposals, presentations, and contract award.
Lead strategic AI, data, and analytics engagements, serving as a senior client advisor
Translate utility business challenges into practical AI and data strategies, roadmaps, solutions, and implementation approaches.
Lead and develop a multidisciplinary AI & Data team

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree from an accredited university, preferably in engineering, data science, computer science, information systems, business, economics, or related field.
  • 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.

Preferred experience

  • 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.
Qualification wording
Bachelor’s degree from an accredited university, preferably in engineering, data science, computer science, information systems, business, economics, or related field.
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.
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.
Education & alternatives
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.

About Guidehouse

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

In the employer’s words · Read in context

Apply at Guidehouse

Posting record

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Status in our records
Live
First seen by us
Oct 28, 202616 days ago
Recorded sightings
15
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$206K–$343K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 16

Similar jobs usually come down between day 8 and day 57.

At Guidehouse, jobs usually come down by about day 30.

From 9,493 similar postings that came down, and 162 of Guidehouse’s. Coming down is not always a hire.

Guidehouse is hiring

108 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • Azure
  • Databricks
  • Snowflake
  • GCP
Where the posting names them
- 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.

Your next step

Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 RecruitingAccommodation@guidehouse.com. 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 guidehouse@myworkday.com.  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 recruiting@guidehouse.com. 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.

Source details

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Pay
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.
Location & working pattern

US - CO, Boulder

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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