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Remote Data Management Jobs in Massachusetts (NOW HIRING)

Tempus

Data Architect, Next Platform

Boston, MA · On-site +1

$150K - $200K/yr

Lead the design and management of an enterprise data model that integrates complex domains ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Draper

Data Deliverables Manager

Cambridge, MA · On-site +1

$95K - $245K/yr

If you are a Data Management Analyst looking for an exciting new career, then this role is meant for you. We are open for new talent and open for you! Kick off your new career at Draper. WHAT WILL ...

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

... data management foundation. At Cedar Gate, you'll be part of a collaborative, innovative ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

... data management foundation. At Cedar Gate, you'll be part of a collaborative, innovative ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

YO AI Labs

AI Consulting Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

Resource Innovations

Energy Engineer

Needham, MA · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Use the company's virtual energy management software platform to review facility performance ...

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All JobsData Management JobsRemote Data Management JobsRemote Data Management Jobs in Massachusetts

Remote Data Management information

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

What are the key skills and qualifications needed to thrive in remote data management?

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is the difference between Remote Data Management vs Data Analyst?

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

More about Remote Data Management jobs

What are the most commonly searched types of Data Management jobs in Massachusetts?

The most popular types of Data Management jobs in Massachusetts are:

What are popular job titles related to Remote Data Management jobs in Massachusetts?

For Remote Data Management jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Data Management jobs in Massachusetts look for?

The top searched job categories for Remote Data Management jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Data Management jobs?

Cities in Massachusetts with the most Remote Data Management job openings:

Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in Massachusetts as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 2% In-person, and 98% Remote job distribution.

Data Architect, Next Platform

Tempus

Boston, MA • On-site, Remote

$150K - $200K/yr

Full-time

Posted 19 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem. You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types-ranging from structured EHR records to unstructured genomic and imaging data-are seamlessly accessible to autonomous AI agents.

Our goal is to move beyond static data warehousing to create a dynamic, "agent-ready" data fabric that supports real-time clinical evaluation at an enterprise scale.

What You'll Do

  • Multi-Modal Architecture: Lead the design and management of an enterprise data model that integrates complex domains including clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).

  • Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.

  • Enable Agentic Workflows: Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.

  • Schema & API Ownership: Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).

  • Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring "ground truth" for agentic evaluations.

  • Technical Advocacy: Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.

Experience & Qualifications

  • Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field.

  • Professional Experience: 7+ years in data architecture or enterprise modeling, with significant experience in the healthcare or life sciences domain.

  • Modeling Mastery: Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.

  • Advanced SQL & Python: Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.

  • Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and experience implementing Master Data Management (MDM) solutions.

  • Interoperability Standards: Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.

  • Tools: Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.

Bonus Points

  • AI Data Engineering: Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory.

  • Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.

  • Specialized Clinical Data: Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.

#LI-BL1
Chi: $140,000-$190,000

NYC/SF: $150,000-$200,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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