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

CoorsTek

Manager Data Platform Engineering

Golden, CO · On-site

Job Title Manager Data Platform Engineering As the Data Platform Engineering Manager (Governance & Quality), you will lead the strategy, stability, governance, and adoption of the organization ...

Entarian

CDRL / Data Manager / Technical Writer

Denver, CO · On-site

$110K - $128K/yr

Manage development, coordination, review, and submission of all Contract Data Requirements List (CDRL) deliverables. * Track deliverable schedules, due dates, dependencies, and approval work-flows to ...

kgs

Data Management Specialist

Denver, CO

The Data Management Specialist will provide comprehensive data management services supporting federal grant administration programs. The specialist will be responsible for ensuring data integrity ...

kgs

Data Management Specialist

Denver, CO

The Data Management Specialist will provide comprehensive data management services supporting federal grant administration programs. The specialist will be responsible for ensuring data integrity ...

Koniag, Inc.

Data Management Specialist

Denver, CO · On-site

The Data Management Specialist will provide comprehensive data management services supporting federal grant administration programs. The specialist will be responsible for ensuring data integrity ...

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All JobsData JobsData Manager JobsData Manager Jobs in Highlands Ranch, CO

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 Jul 19, 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 salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

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.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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.
More about Data Manager jobs
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:
Data Manager jobs near you
Manager Data Platform Engineering

Manager Data Platform Engineering

CoorsTek

Golden, CO • On-site

Full-time

Re-posted 25 days ago

CoorsTek rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

It's exciting to work for a company that makes the world measurably better.

We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.

Job Title

Manager Data Platform EngineeringAs the Data Platform Engineering Manager (Governance & Quality), you will lead the strategy, stability, governance, and adoption of the organization's modern data platform. In this role, you will be responsible for ensuring the data ecosystem supports scalable, reliable, and business-impacting analytics capabilities. You will work cross-functionally with business stakeholders, data engineering, analytics teams, and IT leadership to guide platform direction, drive best practices, and ensure strong user adoption. This is a playercoach role that blends platform architecture oversight, operational ownership, and enablement of selfservice analytics across the organization.

Roles & Responsibilities:
Platform Strategy & Architecture

  • Execute and deliver against the data platform roadmap aligned to business and analytics strategy. Contribute to and implement architectural decisions related to data ingestion, transformation, modeling patterns, Lakehouse architecture, medallion design, and Semantic and consumption layer strategy across Power BI and Sigma.
  • Ensure platform scalability, performance, cost optimization, and future-readiness.
  • Provide strong input for and introduce new platform capabilities, tooling, and automation to improve platform maturity.

Platform Stability & Operations

  • Manage platform reliability, availability, and performance monitoring.
  • Establish and manage SLAs / SLOs for data pipelines and analytics workloads, incident management and root cause processes, platform governance, security, and access patterns.
  • Partner with infrastructure / cloud teams and provide input on environment strategy, workspace management, cost visibility and optimization.
  • In coordination with Data & Analytics leadership, ensure data platform production readiness standards for data products and pipelines.

Adoption & Enablement

  • Support adoption of the data platform and self-service analytics capabilities
  • Define standards for data product design, dashboard and analytics development, documentation and discoverability. Lead user enablement initiatives such as training programs, office hours and community of practice, analytics governance forums.
  • Partner with business teams to identify high-value use cases and accelerate delivery.

Team Leadership & Delivery

  • Lead and develop a team of data engineers, analytics engineers, or platform specialists.
  • Establish delivery frameworks and prioritization processes.
  • Promote modern engineering practices including CI/CD for data pipelines, Testing and observability, Agile / product-oriented operating models.
  • Collaborate closely with Data & Analytics leadership to ensure platform investments drive measurable business outcomes.

Job Requirements:

Education and Experience:

  • Bachelor's degree in Engineering, Computer Science, Data Science or Information systems or equivalent work experience.

  • 7+ years of experience in data engineering, analytics engineering, or data platform leadership.
  • 3+ years of experience leading technical teams.

Functional/Technical Knowledge, Skills & Abilities:

    • Hands-on experience with Databricks / Lakehouse architectures.
    • Strong familiarity with modern BI and semantic consumption patterns (Power BI, Sigma, or similar).
    • Experience managing production data platforms in cloud environments (Azure, AWS, or GCP).
    • Proven ability to drive platform adoption and organizational change.
    • Strong stakeholder engagement and communication skills.

    Preferred Qualifications & Experience:

    • Experience in manufacturing, industrial, or operational analytics environments.
    • Knowledge of data governance frameworks and data product operating models.
    • Experience with cost optimization and FinOps practices in analytics platforms.
    • Familiarity with orchestration tools, data ingestion tooling, and modern ELT patterns.
    • Exposure to machine learning platform enablement or MLOps.

    Additional Position Details:

    • Location: Golden, CO (on-site)
    • Work Authorization: Requires U.S. Person status (U.S. citizen, a Green Card holder, or a protected refugee/asylee)

    Target Hiring Range

    Annual Salary: USD 128,555.00 - USD 176,763.00

    Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation.

    If you like working for a company that makes a real difference in the world, you'll enjoy your career with us!

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