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Senior Data Manager Jobs (NOW HIRING)

Data Architect/SR (28543)

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Data architecture to includeD metadata management, business semantics, data modeling and metadata workflow management. -The Sr. Data Architect will set up a metadata registry and allows domain ...

Senior Data Analyst

Chicago, IL · On-site

$130K - $165K/yr

Additional responsibilities will include actively managing inventory of pending development activities. The Senior Data Analyst will be responsible for maintaining a groomed backlog of user stories ...

Senior Data Architect

Cambridge, MA · On-site +1

$113K - $140K/yr

The Senior Data Architect will be responsible for developing an overall data strategy, data ... The strategy includes data architecture, data management standards, implementation and management ...

Senior Data Analyst

Hurlburt Field, FL · On-site

$78K - $99K/yr

Responsibilities Senior Data Analysts are responsible for querying, engineering, and analyzing data in accordance with data management policies to support mission and business functions and tasks.

The Sr Data Management Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability ...

Sr Data Management Analyst

Charlotte, NC

$84K - $106K/yr

The Sr Data Management Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability ...

Senior Data Analyst #2470

Dallas, TX · Hybrid

$85K - $107K/yr

Dallas, Texas - (Hybrid - 3 days onsite) Our client requires a Senior Data Analyst to investigate data anomalies, support data management initiatives, and collaborate with cross-functional teams ...

Senior Data Architect

Cambridge, MA · On-site

$113K - $140K/yr

The Senior Data Architect will be responsible for developing an overall data strategy, data ... The strategy includes data architecture, data management standards, implementation and management ...

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Senior Data Manager information

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$79K

$123.1K

$184.5K

How much do senior data manager jobs pay per year?

As of Jun 16, 2026, the average yearly pay for senior data manager in the United States is $123,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

Senior Data Managers in large organizations or those with extensive experience and specialized skills can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. High-level executive roles such as Chief Data Officers or Chief Technology Officers also often reach this compensation level, typically requiring advanced degrees, leadership experience, and expertise in data strategy and management.

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

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

How much do senior data managers make in the US?

Senior data managers in the US typically earn between $90,000 and $130,000 annually, with salaries varying based on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

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

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

What is a Senior Data Manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but senior data managers and data analysts play a crucial role in interpreting complex data, making strategic decisions, and ensuring data quality. AI is expected to augment rather than fully replace these roles, requiring professionals to develop skills in data governance, visualization, and advanced analytics. Human expertise remains essential for contextual understanding and ethical considerations in data management.

What does a senior data manager do?

A senior data manager oversees the collection, organization, and analysis of data within an organization. They develop data management strategies, ensure data quality and security, and often use tools like SQL, data warehouses, and analytics software to support decision-making and business operations.

What are some typical challenges faced by Senior Data Managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.
More about Senior Data Manager jobs
What cities are hiring for Senior Data Manager jobs? Cities with the most Senior Data Manager job openings:
What are the most commonly searched types of Senior Data jobs? The most popular types of Senior Data jobs are:
What states have the most Senior Data Manager jobs? States with the most job openings for Senior Data Manager jobs include:
Infographic showing various Senior Data Manager job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,055 per year, or $59.2 per hour.
Senior Data Modeler (Data Architect)

Senior Data Modeler (Data Architect)

Data Intelligence LLC

Quantico, VA

Other

Posted 24 days ago


Job description

Data Intelligence LLC
Job Openings >> Senior Data Modeler (Data Architect)
Senior Data Modeler (Data Architect)
Summary
Title: Senior Data Modeler (Data Architect) ID: 1593 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking an experienced Senior Data Modeler / Data Architect to support mission-critical operations at NCIS Headquarters in Quantico, VA. This role focuses on designing, managing, and optimizing enterprise data models and architectures to support advanced analytics and operational requirements. The ideal candidate will bridge business needs and technical implementation, ensuring data is structured, accessible, and aligned with mission objectives.

Key Responsibilities

  • Develop and maintain conceptual, logical, and physical data models aligned to mission and business requirements
  • Collaborate with IT teams, data architects, and stakeholders to define and refine data requirements
  • Translate business needs into scalable and efficient data architectures
  • Review data processing and data management methods to ensure efficiency, integrity, and performance
  • Establish and maintain official data definitions, standards, and data lineage documentation
  • Support database design, implementation, and optimization efforts
  • Assist in developing strategies for data acquisition, storage, archival, and recovery
  • Ensure data sets and applications function reliably and meet operational needs
  • Provide technical oversight and mentorship to junior developers and data staff
  • Troubleshoot data-related issues and provide system support as needed

Required Qualifications

  • Bachelor's degree in Computer Science or related field
  • Minimum 10 years of professional experience in data modeling, data architecture, or related disciplines
  • Strong experience developing conceptual, logical, and physical data models
  • Experience working with enterprise data environments and large-scale data systems
  • Ability to translate complex business requirements into technical data solutions
  • Experience with data governance, data standards, and metadata management
  • Strong understanding of database design, implementation, and performance optimization
  • Experience supporting data lifecycle processes including ingestion, storage, archival, and recovery
  • Strong analytical, problem-solving, and troubleshooting skills
  • Excellent communication and collaboration abilities across technical and non-technical teams
  • Active Top Secret / SCI clearance
Apply Now
 
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