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Technical Data Manager Jobs (NOW HIRING)

Embtel Inc

Technical Data Project Manager

Dallas, TX · On-site

Technical Data Project Manager Location: Dallas, TX (onsite day 1) Only Locals preferred. Contract JD : * Banking industry experience * Data program experience * Played technical role earlier in the ...

GHX

OR · On-site

$65K - $81K/yr

The Technical Data Analyst II - Data Governance is responsible for working with data producers ... This position reports to the Senior Manager, Software Engineering Data Governance for the Data ...

Scalence L.L.C.

Technical Data Steward

Phoenix, AZ · On-site

Scalence L.L.C. is seeking a dedicated Technical Data Steward to ensure that their Employee ... and lifecycle management. • Experience working with enterprise applications, databases, and ...

iTech US, Inc.

Technical Data Steward

Phoenix, AZ · On-site

Technical Data Steward Location: Phoenix, AZ (Onsite Role) Duration: Long-term Contract Strong ... lifecycle management Experience working with enterprise applications, databases, and system ...

Rosenbauer International AG

Technical Data Specialist

MN · On-site

$28 - $36/hr

POSITION SUMMARY The Technical Data Specialist will serve as the primary technical gatekeeper ... Manage a strategic feedback loop with the pre-sales team to identify recurring issues found during ...

ROSENBAUER GROUP

Technical Data Specialist

Wyoming, MN

$28 - $36/hr

POSITION SUMMARY The Technical Data Specialist will serve as the primary technical gatekeeper ... Manage a strategic feedback loop with the pre-sales team to identify recurring issues found during ...

Scalence L.L.C.

Technical Data Steward

Phoenix, AZ · On-site

Scalence L.L.C. is seeking a dedicated Technical Data Steward to ensure that their Employee ... and lifecycle management. • Experience working with enterprise applications, databases, and ...

Sandhills Global, Inc.

Technical Data Editor

Lincoln, NE · On-site

$20/hr

Technical Data Editor Lincoln, Nebraska, USA The Technical Editor's primary objective will be to ... This position will involve a lot of detailed data entry, editing, and contact with our management ...

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Technical Data Manager information

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$51K

$152.3K

$193.5K

How much do technical data manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for technical data manager in the United States is $152,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $181,000.00 per year, depending on experience, location, and employer.

What does a technical data manager do?

A technical data manager oversees the collection, organization, and maintenance of technical data within an organization. They ensure data accuracy, implement data management systems, and often work with tools like databases and data analysis software to support engineering, manufacturing, or IT teams.

What is the difference between Technical Data Manager vs Data Analyst?

AspectTechnical Data ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like DAMA or CDMPBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in industries with large data assets like finance, healthcare, manufacturingCommon across industries for data interpretation and reporting

The Technical Data Manager focuses on overseeing data quality, governance, and infrastructure, ensuring data is accurate and accessible. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. While both roles work with data, their responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of technical data management, high-earning roles such as Chief Data Officer or Data Science Director can reach or exceed $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data analysis, leadership, and often involve stock options or performance bonuses.

What are the key skills and qualifications needed to thrive as a Technical Data Manager, and why are they important?

To thrive as a Technical Data Manager, you need expertise in data management, database administration, and data governance, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ETL platforms, data warehousing solutions, and certifications like CDMP or cloud data certifications are commonly required. Strong leadership, problem-solving, and communication skills set top candidates apart in managing teams and collaborating across departments. These skills ensure effective data integrity, security, and accessibility, which are vital for supporting business intelligence and strategic decision-making.

What is a Technical Data Manager?

A Technical Data Manager is responsible for overseeing the collection, storage, management, and analysis of data within an organization, ensuring data integrity and security. They develop data management strategies, implement data governance policies, and coordinate with IT and business teams to support data-driven decision-making. Technical Data Managers also supervise data teams, maintain data quality, and ensure compliance with relevant regulations. Their role is critical in organizations that rely on accurate and accessible data for operational and strategic purposes.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as Chief Data Officers, senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. For a Technical Data Manager, reaching this level typically requires extensive experience, leadership responsibilities, and often bonuses or stock options in addition to base salary.

Is 40 too late for data science?

As a Technical Data Manager, age is generally not a barrier to entering data science, as skills and experience are more important. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Continuous learning and practical experience can help overcome age-related concerns in the field.

What are some common challenges faced by Technical Data Managers, and how can applicants prepare for them?

Technical Data Managers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and balancing the needs of various stakeholders. Applicants can prepare by developing strong project management skills, staying current with data governance best practices, and gaining experience with modern data platforms. Effective collaboration with IT, analytics, and business teams is essential, so strong communication skills are also crucial for success in this role.
More about Technical Data Manager jobs
What cities are hiring for Technical Data Manager jobs? Cities with the most Technical Data Manager job openings:
What are the most commonly searched types of Technical Data jobs? The most popular types of Technical Data jobs are:
What states have the most Technical Data Manager jobs? States with the most job openings for Technical Data Manager jobs include:
What job categories do people searching Technical Data Manager jobs look for? The top searched job categories for Technical Data Manager jobs are:
Technical Data Manager jobs near you
Infographic showing various Technical Data Manager job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 83% In-person, 4% Hybrid, and 13% Remote job distribution, with an average salary of $152,287 per year, or $73.2 per hour.
Technical Data Analyst

Technical Data Analyst

No Limit Technology

Richmond, VA

Full-time

Posted 14 days ago

Job description

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Support Services - Technical Analyst<\/span>
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  • Perform technical troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions with technologies such as cloud native solutions, data tools such as Databricks, Immuta, Collibra, Starburst, Tableau, Grafana, ServiceNow preferred<\/span>
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  • Provide primary technical support to the end user community for problems related to software, database issues, data communication and processing errors.<\/span>
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  • Oversee application, production and\/or implementation support, both technical and user, for new releases of applications.<\/span>
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  • Consult on application testing strategies, document observations and coordinate responses.<\/span>
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  • Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely.<\/span>
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  • Documents end\-user interactions into the automated call logging tools for tracking and productivity purposes.<\/span>
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  • Validate proposed technical approaches to system or application problem logs and makes recommendation for mediation to management.<\/span>
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  • Collaborate with the training team to develop and conduct end\-user training sessions as well as training and user guides. Coach, mentor, and assist with the development of other technical support staff.<\/span>
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  • May act as a team leader and coordinate assignments of other technical support staff, as well as, have accountability for the success of department functions.<\/span>
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  • Leads the administrative ad hoc assignments and assists with contingency testing as directed.<\/span>
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  • Work with internal customers and encourage open dialogue and contributions to understand requirements, assumptions, current reality, and constraints.<\/span>
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  • Develop, implement and mature support processes, procedures, and best practices to ensure efficient and effective support operations.<\/span>
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  • Monitor the stability, availability and performance of CDP platform, analytics and reporting systems and related application infrastructure.<\/span>
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  • Identify opportunities for process improvements and automation to enhance the efficiency and effectiveness of production support operations.<\/span>
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  • Collaborate with the platform engineering, analytics, infrastructure team and product to implement improvements and ensure alignment with overall business objectives. Generate reports on support activities, system performance, and incident trends for CDP stakeholders.<\/span>
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  • Develop and continually maintain documentation of training content, user documentation, support processes, procedures, and incident resolutions.<\/span>
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  • Foster relationships with key stakeholders and user groups, deepen knowledge of evolving support needs.<\/span>
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  • Collect and report on CDP platform and support services metrics. Perform other duties as assigned.
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      \n Requirements:<\/b>
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      • Broad knowledge of application and data modelling techniques and tools with the ability to identify root cause issues and appropriate solutions
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      • Experience with application releases to cloud production environments preferred
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      • 5+ (Senior level) \/ 9+ (Advanced level) years of relevant experience
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      • Strong experience working in Agile environment\/SAFe framework and agile management tools like Jira
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      • Excellent analytical and design skills
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      • Ability to facilitate and help to resolve complex conflicts
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      • Ability to articulate technical concepts to all audiences; technical writing expertise
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      • Ability to be flexible and pivot to competing priorities at any given time
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        Preferred:<\/span><\/span><\/b>
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        • Experience with application releases to cloud production environments<\/span><\/span><\/span>
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