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Associate Data Manager Jobs in Maryland (NOW HIRING)

Blend360

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

Utah County Sheriff

Data Systems Coordinator

Arbutus, MD · On-site

$41.42 - $54.78/hr

UTAH COUNTY OFFICE OF HUMAN RESOURCE MANAGEMENT 100 East Center, Suite 3800, Provo, UT 84606 Phone ... office, associate ownership with the property; establishing a taxable value for all property ...

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All JobsAssociate Data JobsAssociate Data Manager JobsAssociate Data Manager Jobs in Maryland

Associate Data Manager information

See Maryland salary details

$13

$32

$54

How much do associate data manager jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for associate data manager in Maryland is $32.10, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $38.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by an associate data manager when coordinating data collection across multiple sites?

Associate Data Managers often work with data from various clinical trial or research sites, which can present challenges such as ensuring data consistency, managing different site timelines, and addressing discrepancies in data entry. Effective communication and strong organizational skills are essential, as is familiarity with data management systems and regulatory requirements. Collaborating closely with site coordinators and senior data managers helps resolve issues quickly and maintain data integrity throughout the project.

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

To thrive as an Associate Data Manager, you need a solid background in data management principles, attention to detail, and a relevant degree such as in life sciences, computer science, or a related field. Familiarity with data management tools like EDC (Electronic Data Capture) systems, SQL, and knowledge of industry regulations (e.g., GCP, CDISC) or certifications like SCDM are typically required. Strong organizational skills, effective communication, and problem-solving abilities help you coordinate with cross-functional teams and ensure data integrity. These competencies are crucial for ensuring high-quality, compliant data collection and delivery in clinical trials or research environments.

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

AspectAssociate Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; certifications like CDMP are commonBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically in data management teams within organizations, focusing on data integrity and database managementOften in business or research settings, analyzing data to generate reports and insights
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance rolesCommon in marketing, finance, and consulting for data-driven decision making

The main difference is that Associate Data Managers focus on maintaining and organizing data systems, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

How much does an associate data manager get paid?

An associate data manager typically earns between $50,000 and $70,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while those with specialized skills or certifications can earn higher salaries.

What does an associate data manager do?

An associate data manager is responsible for collecting, organizing, and maintaining data within an organization. They often use database tools and software to ensure data accuracy, security, and accessibility, supporting data analysis and decision-making processes. This role typically requires attention to detail and familiarity with data management systems.

What are the most commonly searched types of Data Manager jobs in Maryland?

The most popular types of Data Manager jobs in Maryland are:

What are popular job titles related to Associate Data Manager jobs in Maryland?

For Associate Data Manager jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Associate Data Manager jobs in Maryland look for?

The top searched job categories for Associate Data Manager jobs in Maryland are:

Associate Data Manager jobs near you
Infographic showing various Associate Data Manager job openings in Maryland as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $66,768 per year, or $32.1 per hour.

Associate Director of Data Science

Blend360

Columbia, MD • On-site

$58K - $59K/yr

Full-time

Re-posted 8 hours ago

Job description

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

We are seeking a highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.

  • Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists.

  • Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.

  • Collaborate with stakeholders to translate business requirements into scalable data science solutions.

  • Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.

  • Mentor and guide team members, fostering growth and knowledge sharing.

  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

  • Maintain oversight of project timelines, resource allocation, and risk management.

Qualifications

  • 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or Team Lead capacity.

  • Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.

  • Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.

  • Hands-on programming experience with Python and SQL.

  • Demonstrated leadership and team management skills.

  • Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications:

  • Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.

  • Project management experience and familiarity with Azure cloud infrastructure.

  • Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:

  • Opportunity to lead cutting-edge AI projects across diverse industries.

  • Work with a collaborative, high-performing team of data scientists and engineers.

  • Influence the strategic direction of AI initiatives within the organization.

Apply