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Data Manager Jobs in Highlands Ranch, CO (NOW HIRING)

The CDRL / Data Manager / Technical Writer is responsible for ensuring all Contract Data Requirements List (CDRL) items and technical deliverables are accurate, compliant, and delivered on time in ...

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Data Management Specialist

Denver, CO · On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite, Denver, CO Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

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Data Manager information

See Highlands Ranch, CO salary details

$32.5K

$102K

$180.5K

How much do data manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data manager in Highlands Ranch, CO is $101,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $131,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
What are the most commonly searched types of Data jobs in Highlands Ranch, CO? The most popular types of Data jobs in Highlands Ranch, CO are:
What job categories do people searching Data Manager jobs in Highlands Ranch, CO look for? The top searched job categories for Data Manager jobs in Highlands Ranch, CO are:
What cities near Highlands Ranch, CO are hiring for Data Manager jobs? Cities near Highlands Ranch, CO with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $101,964 per year, or $49 per hour.

Practice Manager - AI & Data

ALTEN Technology USA

Broomfield, CO

$160K - $190K/yr

Full-time

Re-posted 19 days ago


Job description

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.

As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.

When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.

Responsibilities;

Practice Leadership & Management

  • Lead and manage the AI & Data practice
  • Manage and steer the allocation of practice resources across multiple activities, including:
    • Technical pre-sales support
    • Technical expertise delivery to projects
    • Recruitment support
    • Training and competency development
  • Provide line management and leadership to members of the practice including technical leadership across AI and Data
  • Define skills development objectives for practice members and evaluate progress and effectiveness
  • Develop, improve, and standardize processes, methodologies, and tools
  • Foster a culture of collaboration, innovation, and knowledge sharing across the practice

Client Engagement & Pre-Sales

  • Partner with Sales and Account teams to identify and shape AI & Data opportunities
  • Lead or contribute to solutioning, proposals, and RFP responses
  • Act as a trusted advisor in client discussions and executive forums
  • Align AI & Data solutions with business value and client outcomes

Technical Leadership & Innovation

  • Provide leadership across advanced AI & Data domains:
    • Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems)
    • Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh)
    • Cloud-based AI architectures (AWS, Azure, GCP AI services)
  • Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning)
    • Support delivery teams with hands-on guidance and expert oversight
    • Drive development of AI & Data offerings, accelerators, and reusable assets
    • Identify opportunities for AI-driven productivity gains and automation
    • Ensure adoption of industry best practices and scalable architectures

Qualifications

  • 12-15 years of experience in consulting, engineering services, or technology-driven organizations
  • 5+ years of experience in AI, Data, or Analytics leadership roles
  • Proven experience building and scaling technical teams or practices
  • Experience in:
    • Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services)
    • AI/ML frameworks (e.g., Python ecosystem, TensorFlow, PyTorch, Scikit-learn)
    • Data Engineering tools & platforms (Spark, Databricks, distributed systems)
    • Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI)
    • MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration)
  • Understanding of data governance, security, and AI regulations

Skills & Competency Management

  • Create, maintain, and manage the practice skill matrix
  • Identify competency gaps and develop capability-building plans
  • Develop and coordinate technical training programs and certification initiatives
  • Build and strengthen a team of experts through:
    • Recruitment
    • Coaching and mentoring
    • Internal talent development and training
  • Support career development planning and succession management within the practice
  • Promote technical communities, best practices, and continuous learning initiatives

Educational Qualifications

  • Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field
  • Certifications in AI/ML, Cloud are a plus

Salary Range: $160,000-$190,000 + Annual Performance Bonus

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience

Note: this position is on-site, but can be located in Greensboro, NC, Broomfield, CO, or Troy, MI.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.

Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process.

Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.