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Data Services Manager Jobs (NOW HIRING)

E-Solutions

Data Services

San Mateo, CA · On-site

Solicitation #46956 - Data Services - Technical Coordinator Role/Position Type: Data Services ... Manage staff deliverables Manage Vendor relationships Manage staff training Business Need At least ...

Allegis Group

IS Manager - Data Services

Hanover, MD · On-site

The IS Manager is responsible for planning, leading, organizing, and motivating the Data Services team within Global Enterprise Applications and Data to achieve a high level of performance and ...

Allegis Group

IS Manager - Data Services

Hanover, MD · On-site

The IS Manager is responsible for planning, leading, organizing, and motivating the Data Services team within Global Enterprise Applications and Data to achieve a high level of performance and ...

Logistical Data Services

Facility Manager

Las Vegas, NM · On-site

Logistical Data Services delivers a new, technology driven option for our industry. Our inspection ... As a Logistical Data Services Manager, you will be leading a team in providing a quality inspection ...

Logistical Data Services

Facility Manager

Phoenix, AZ · On-site

$55K - $60K/yr

Logistical Data Services delivers a new, technology driven option for our industry. Our inspection ... As a Logistical Data Services Manager, you will be leading a team in providing a quality inspection ...

Logistical Data Services

Inspection Manager

Portland, OR · On-site

$55K - $60K/yr

Logistical Data Services delivers a new, technology driven option for our industry. Our inspection ... As a Logistical Data Services Manager, you will be leading a team in providing a quality inspection ...

Logistical Data Services

Facility Manager

Phoenix, AZ · On-site

$55K - $60K/yr

Logistical Data Services delivers a new, technology driven option for our industry. Our inspection ... As a Logistical Data Services Manager, you will be leading a team in providing a quality inspection ...

Xavier University

Data Services Librarian

Cincinnati, OH · On-site

$57K - $60K/yr

Reporting to the Head of Special Services, the enthusiastic and collaborative candidate for this ... Assists students with data discovery, management, and visualization in their assignments, research ...

CSAA

Data Services Engineers

Phoenix, AZ · On-site +1

$113K - $136K/yr

Integrate new data management technologies and software engineering tools into existing structures ... Services, Inc. at talentacquisitionoperations@csaa.com. #INDDNP

SS&C

Manager, Private Markets Data Services

Atlanta, GA · Hybrid

$115K - $165K/yr

Manager, Private Markets Data Services Locations: Atlanta, GA (hybrid) or Boston, MA (hybrid) About the Role The Manager will be responsible for a broad spectrum of responsibilities to support the ...

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Data Services Manager information

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$31K

$97.1K

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How much do data services manager jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data services manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a Data Services Manager?

A Data Services Manager is a professional responsible for overseeing the collection, management, and utilization of data within an organization. They lead teams that develop and maintain data systems, ensure data quality and security, and facilitate data-driven decision-making. Their role often involves collaborating with IT, analytics, and business departments to ensure that data services align with organizational goals. Data Services Managers also establish data policies and best practices, manage data integration projects, and support business intelligence initiatives.

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

To thrive as a Data Services Manager, you need strong expertise in data management, analytics, and database administration, typically supported by a degree in information technology or a related field. Familiarity with data warehouse platforms, SQL, cloud services (such as AWS or Azure), and certifications like CDMP or PMP are often required. Leadership, problem-solving, and effective communication are crucial soft skills for managing teams and translating business needs into data solutions. These competencies ensure data integrity, drive informed decision-making, and support organizational goals through efficient data practices.

What are some common challenges a Data Services Manager faces when overseeing cross-departmental data initiatives?

A Data Services Manager often encounters challenges related to aligning various departments’ data needs and priorities. Coordinating data governance, standardization, and quality control across teams can be complex, as each department may use different systems and terminology. Effective communication and stakeholder management are crucial for ensuring smooth data integration and adoption of best practices. Additionally, balancing ongoing support for current data services while implementing new projects requires strong organizational and time management skills.

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

AspectData Services ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often managerial certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentLeads data teams, manages data infrastructure, collaborates with IT and business unitsAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across industries for data reporting and insights

The Data Services Manager oversees data infrastructure and team management, focusing on data strategy and operations. In contrast, Data Analysts primarily interpret data, generate reports, and support business decisions. Both roles require strong analytical skills, but the manager role involves leadership and technical oversight, while the analyst role emphasizes data interpretation and reporting.

What does a data service manager do?

A data services manager oversees the collection, management, and analysis of data within an organization. They coordinate data-related projects, ensure data quality and security, and often work with tools like databases and data management platforms to support business decision-making.

What is the salary of a data manager?

The salary of a Data Services Manager typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals in this role often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What jobs in the US pay 300,000 a year?

For a Data Services Manager, annual salaries of $300,000 or more are typically found in senior or executive-level roles, especially in large organizations or tech companies. These positions often require extensive experience, advanced skills in data management, and sometimes certifications in data or project management. High-paying roles may also involve leadership responsibilities, strategic planning, and working with complex data systems.

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

For a Data Services Manager, salaries of $200,000 or more annually are typically found in senior or executive-level roles, especially with extensive experience, advanced skills in data management, and leadership responsibilities. High-paying positions may also require certifications like Certified Data Management Professional (CDMP) and experience with large-scale data systems or cloud platforms.
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Data Services Manager jobs near you
Data Services Manager

Data Services Manager

Ashley Global Retail, LLC

Tampa, FL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Ashley Furniture rating

6.0

Company rating: 6.0 out of 10

Based on 283 frontline employees who took The Breakroom Quiz

33rd of 46 rated furniture manufacturers

Job description

About AshleyAshley is the largest furniture manufacturer and retailer in North America, and we're redefining how customers shop for furniture. We're building intelligent, conversational agents that go beyond answering questions-they initiate value-driven conversations, design rooms, and orchestrate complex purchase flows across a two-sided marketplace connecting customers with merchants and retailers.
About the role:
The Data Services Manager will be responsible for managing database systems, data warehousing solutions, and ensuring the integrity and security of our data assets. This role requires proficiency in both SQL and NoSQL databases, as well as familiarity with ETL tools, machine learning concepts, AI governance, and various programming languages.
Key Responsibilities
Database Management
  • Design, implement, and maintain SQL and NoSQL databases.
  • Optimize database performance and ensure data integrity and security.
  • Ensure data infrastructure supports AI and machine learning workloads.

ETL Processes
  • Design and manage ETL processes to extract, transform, and load data from various sources.
  • Collaborate with stakeholders to identify data requirements and ensure data quality.
  • Implement data pipelines that support AI/ML workflows and real-time data processing needs.

AI Governance and Oversight
  • Establish and maintain AI governance frameworks to ensure responsible AI development and deployment.
  • Implement policies for ethical AI use, including bias detection, fairness evaluation, and transparency standards.
  • Collaborate with legal and compliance teams to address AI-related risks and regulatory requirements.
  • Ensure human oversight mechanisms are in place for AI-generated outputs and decisions.

Machine Learning Integration
  • Support machine learning projects by preparing and managing data for analysis.
  • Collaborate with data scientists to implement machine learning algorithms and models.
  • Manage data quality and validation processes to ensure AI model accuracy and reliability.
  • Oversee data labeling, annotation, and versioning for machine learning datasets.

Generative AI Data Management
  • Establish data management protocols for generative AI applications and large language models.
  • Implement safeguards to prevent data leakage and ensure secure AI model training.
  • Monitor and validate outputs from generative AI systems to maintain quality standards.
  • Develop data lineage and provenance tracking for AI-generated content.

Data APIs
  • Develop and maintain APIs for data access and integration with other systems.
  • Ensure APIs are secure, efficient, and well-documented.
  • Create API interfaces that support AI model serving and inference endpoints.
  • Develop automation scripts for AI model monitoring and data quality validation.

Distributed Systems
  • Understand and apply the basics of distributed systems in data management.
  • Collaborate with infrastructure teams to ensure data systems are scalable and resilient.
  • Design distributed data architectures that support large-scale AI processing requirements.

Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience in database management, including SQL and NoSQL technologies.
  • Familiarity with data warehousing concepts and ETL tools.
  • Familiarity with data privacy regulations and best practices (GDPR, CCPA, AI-specific regulations).
  • Experience in machine learning frameworks and data analysis.
  • Understanding of AI governance principles and responsible AI practices.
  • Knowledge of generative AI technologies and their data requirements.
  • Proficiency in programming languages: Python, Java, and Scala.
  • Understanding of distributed systems and their implications for data management.
  • Strong problem-solving skills and ability to work collaboratively in a team environment.
  • Awareness of AI ethics, bias mitigation, and fairness in AI systems.

Preferred Skills
  • Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
  • Knowledge of data visualization tools and techniques.
  • Experience implementing AI governance frameworks and policies.
  • Understanding MLOps practices and AI model lifecycle management.
  • Familiarity with vector databases and embeddings for AI applications.
  • Experience with AI model monitoring, explainability, and interpretability tools.
  • Knowledge of federated learning and privacy-preserving AI techniques.

Equal Opportunity Employer Statement
Ashley Furniture is an Equal Opportunity Employer. We value and promote diversity, equity, and inclusion in all aspects of employment. We do not discriminate on the basis of race, color, religion, national origin, sex (including pregnancy, gender identity, and sexual orientation), age, disability, genetic information, veteran status, or any other legally protected characteristic.
We are committed to providing an inclusive and accessible recruitment process. If you require a reasonable accommodation during the application or interview process, please let us know.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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