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Data Operations Jobs in Colorado (NOW HIRING)

Responsibilities As a Revenue Operations Data Analyst at InnovAge, you will own and scale our analytics capability across sales, marketing, and enrollment operations. This role is responsible for ...

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

Job Title: DevOps Engineer (Big Data) Location: Denver, CO Type: Direct Hire Client located in Denver, Colorado is seeking a DevOps Engineer with a Big Data focus for a direct hire position. This ...

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

They are seeking a DevOps Engineer with a Big Data focus to join a 20-person development team. The role involves designing, developing, implementing, and supporting systems that handle large-scale ...

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Showing results 1-20

Data Operations information

See Colorado salary details

$54.7K

$135.1K

$210.3K

How much do data operations jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data operations in Colorado is $135,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $171,900.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Colorado? The most popular types of Data Operations jobs in Colorado are:
What are popular job titles related to Data Operations jobs in Colorado? For Data Operations jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Operations jobs? Cities in Colorado with the most Data Operations job openings:
Infographic showing various Data Operations job openings in Colorado as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $135,147 per year, or $65 per hour.
AI & Data Associate Director - Energy Providers EM&V

AI & Data Associate Director - Energy Providers EM&V

Guidehouse

Boulder, CO • On-site

$135K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:

We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on Evaluation, Measurement & Verification (EM&V) of utility energy efficiency and demand side management (DSM) programs for commercial energy providers. This individual will be a hands-on leader, responsible for overseeing evaluations for complex portfolios of DSM programs and driving business growth through proactive sales efforts. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through cutting-edge evaluation of program including of load management and demand response, energy efficiency, renewable, EV, energy storage, decarbonization, and electrification. This is a leadership role for someone who thrives at the intersection of EM&V, AI and advanced analytics and market growth.

Client Leadership & Engagement

  • Lead client engagements end-to-end from strategy through implementation, which can include supporting program design, defining evaluation methodologies, overseeing execution of the evaluation, presenting results including the translation of findings into meaningful and actionable recommendations, and developing regulatory filings.
  • Develop and document evaluation methodologies using best practice, leading-edge techniques.
  • Oversee and collaborate with team members and take ownership of project schedules, budgets, and delivery excellence.
  • Drive new business opportunities by identifying client needs, shaping proposals, and expanding relationships into strategic partnerships.
  • Develop and maintain relationships with key clients and stakeholders to build grow accounts and influence buying decisions.

Solution Development & Innovation

  • Drive end-to-end solution development leveraging AI and advanced analytics, with a strong emphasis on utility customer program evaluation methodologies.
  • Stay ahead of industry trends and emerging technologies to inform solution development and position offerings competitively in the market.

Team & Practice Leadership

  • Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants.
  • Own business development activities including pipeline generation, proposal development, and strategic pursuits to meet growth targets.
  • Contribute to recruiting, talent development, and thought leadership within the practice.


What You Will Need:

  • Minimum SEVEN (7) years of experience in the energy industry with a proven track record in managing projects and business development—including client relationship management, opportunity identification, and contribution to revenue growth.
  • Minimum FIVE (5) years of experience leading DSM program evaluations.
  • Deep understanding of DSM customer program evaluation methodologies for load management and demand response, energy efficiency, renewable, EV, energy storage, decarbonization, and electrification programs.
  • Ability to translate technical results into actionable insights and value propositions during client engagements.
  • Demonstrated proficiency in one or several programming languages (such as R and R’s “Tidyverse” packages, Python, SQL), version control (such as GitHub), and AI-assisted coding (such as GitHub Copilot).
  • Demonstrated proficiency with data visualization and experience with data visualization tools (e.g., R Shiny, Dash, PowerBI).
  • Demonstrated proficiency with spreadsheets, databases, word processing, and slide presentation software.
  • Academic or professional experience with one or several AI software, such as CoPilot, ChatGPT, Gemini, Claude
  • Ability to assume ownership of significant portions of tasks while collaborating with a close-knit team.
  • Proven experience across the business development lifecycle—including opportunity identification, capture strategy, and proposal development—while ensuring alignment with technical delivery.
  • Track record of leading large-scale evaluation engagements from concept through execution, while simultaneously expanding client relationships and uncovering new revenue opportunities.
  • Skilled at motivating and guiding multi-disciplinary teams of evaluation specialists to deliver at scale while fostering a growth-oriented culture.
  • Exceptional communication, facilitation, and relationship-building skills that drive trust, collaboration, and commercial success.


What Would Be Nice To Have:

  • Experience with AI/ML technologies, modern data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and advanced analytics methodologies
  • AI/LLM Certifications
  • Project Management Professional (PMP)

#LI-DNI

The annual salary range for this position is $135,000.00-$225,000.00. 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.


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