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Data Acquisition Manager information

See Reston, VA salary details

$32.3K

$101.3K

$179.3K

How much do data acquisition manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data acquisition manager in Reston, VA is $101,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a Data Acquisition Manager do?

A Data Acquisition Manager is responsible for overseeing the process of identifying, sourcing, and collecting data needed for an organization’s projects or operations. They coordinate with internal teams and external vendors to ensure data is acquired efficiently, accurately, and in compliance with legal and ethical standards. Their role often involves managing budgets, negotiating contracts, ensuring data quality, and implementing best practices for data storage and security. Data Acquisition Managers play a key role in supporting data-driven decision-making across the business.

What are the 4 methods of data acquisition?

Data acquisition involves four primary methods: manual data collection, automated data collection through sensors or software, data scraping from websites, and data purchase or licensing from third-party providers. A Data Acquisition Manager often oversees these methods, utilizing tools like data management systems and ensuring data quality and compliance.

What is a data acquisition job?

A data acquisition job involves collecting, processing, and managing data from various sources to support analysis and decision-making. It often requires skills in data collection tools, database management, and understanding data quality standards, with roles typically working in data-driven environments. The position may also involve ensuring data security and compliance with relevant regulations.

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

AspectData Acquisition ManagerData Analyst
Primary FocusOversees data collection processes, manages data sources, and ensures data qualityAnalyzes data to generate insights, reports, and support decision-making
Required SkillsData sourcing, project management, data quality assuranceStatistical analysis, data visualization, SQL, Excel
Work EnvironmentCollaborates with data engineers, IT teams, and vendorsWorks with business teams, using analytical tools and software
Common CertificationsData Management certifications, PMP, data sourcing coursesCertified Analytics Professional, Microsoft Excel, SQL certifications

While both roles involve working with data, the Data Acquisition Manager primarily focuses on sourcing, collecting, and managing data assets, ensuring data quality and availability. In contrast, the Data Analyst interprets and analyzes data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals to each role.

What does an acquisition manager do?

An acquisition manager oversees the process of obtaining data, assets, or resources needed for a company's operations or projects. They identify sources, negotiate terms, and ensure data quality and compliance, often using tools like data management software. Strong analytical skills and knowledge of data privacy regulations are essential for this role.

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

To thrive as a Data Acquisition Manager, you need strong analytical skills, experience in data management, and typically a degree in information systems, computer science, or a related field. Familiarity with data integration tools, ETL processes, SQL databases, and often certifications in data management platforms are essential. Excellent project management, communication, and stakeholder engagement skills help in leading cross-functional teams and negotiating data partnerships. These capabilities ensure high-quality data sourcing and integration, which are critical for driving informed business decisions.

How does a Data Acquisition Manager typically collaborate with cross-functional teams to meet organizational data needs?

A Data Acquisition Manager works closely with departments like IT, analytics, product, and compliance to identify and source the data necessary for business objectives. They often facilitate meetings to understand specific data requirements, ensure data quality, and align on timelines for data integration projects. Effective communication and project management skills are essential, as the role frequently involves translating technical data concepts for non-technical stakeholders and managing vendor relationships. This collaborative approach ensures that data solutions are both technically sound and aligned with organizational goals.

What is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer tend to have the highest salaries, often exceeding $150,000 annually depending on experience and industry. These positions require advanced skills in machine learning, statistical analysis, and leadership, and they typically involve overseeing large teams and strategic decision-making.
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Data Acquisition Manager jobs near you
Senior Data Modeler (Data Architect) with Security Clearance

Senior Data Modeler (Data Architect) with Security Clearance

Data Intelligence LLC.

Quantico, VA • On-site

Other

Re-posted 23 days ago

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

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