Top Remote Data Management Jobs

Lead and mentor a team of data engineers to design, implement, and maintain scalable data pipelines, ensuring data quality and compliance with healthcare regulations.

Advise clients and lead delivery of enterprise data strategy and governance programs. Design governance technology, data architecture, MDM, data quality, operating models, roadmaps, and AI readiness. Assess environments, build implementation plans, evaluate vendor solutions, support business development, manage teams, budgets, and delivery, and develop methodologies to improve data management maturity.

Establishes and maintains enterprise data governance and stewardship frameworks, policies, controls, ownership models, quality standards, lineage, catalogs, metadata, and lifecycle practices. Partners with Security, Legal, Compliance, Technology, analytics, AI, and business stakeholders to support privacy, responsible data use, regulatory adherence, and client commitments. Monitors governance adoption, identifies risks and quality issues, leads remediation, develops reporting and training, and serves as a cross-functional data governance subject matter expert.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Owns the end-to-end architecture, development, infrastructure, data pipelines, and Power BI reporting platform supporting data governance, informatics, analytics, auditing, and data quality. Leads and mentors a data engineering team, defines schemas and engineering standards, ensures security and HIPAA compliance, oversees testing and Agile delivery, manages stakeholder requirements, and remains hands-on with backend technologies, data models, Power BI, and DAX.

Lead design and build of a cloud-based data platform; manage and mentor data engineering staff; define engineering standards, data governance, and access controls; partner with stakeholders to deliver scalable, reliable data pipelines and platform services for analytics and AI.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

The IT Audit Senior Manager leads data-related audits, guides teams on corrective actions, analyzes audit results, and develops audit reports while addressing complex problems and mentoring colleagues.

Lead and manage a data engineering team to design, build, and operate scalable data pipelines, ETL, data warehouses/lakes, and reporting on AWS/Azure. Drive data governance, quality, SLA definitions, automation, and cross-functional collaboration with data scientists, analysts, and product owners to deliver analytics solutions.

Lead a hands-on data engineering team to build and scale production data pipelines, datasets, and observability for alternative-data products. Drive architecture, data modeling, QA, and AI-ready dataset design while coaching engineers, partnering with product and research, and owning operational excellence across Databricks, Airflow, SQL, and PySpark.

Lead the master data management function, set data standards and governance, manage MDM analysts, ensure data quality across item/vendor/pricing/location domains, partner with cross-functional teams, support system implementations and migrations, and drive continuous improvement in retail data processes.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

Serve as the analytics bridge between marketing/operations and data teams: translate business questions and KPIs into clear product requirements, own delivery of treated tables, semantic layers, reports and dashboards, align stakeholders on a single source of truth, run gap analyses, document processes, and ensure delivered data products drive decision-making and adoption.

Lead design and delivery of data infrastructure, including databases, warehouses, lakes, ETL, and data models. Define long-term platform strategy, ensure data quality and governance, partner with architecture and business stakeholders, evaluate emerging technologies, and simplify architectures to deliver reusable, cost-effective solutions while managing senior stakeholders and cross-functional teams.

Manage day-to-day execution of regional assessment builds and readiness operations in Renaissance (Illuminate) DnA, maintain data quality and compliance, coordinate vendor data collection, develop documentation and training, support regional stakeholders, and continuously improve assessment and data workflows to ensure timely, accurate reporting.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Lead enterprise data governance by designing and scaling governance frameworks, stewardship, metadata management, and data quality programs. Partner with business, analytics, and technology teams to enable governed self-service analytics, improve data trust and lineage, define KPIs, drive adoption, and report program outcomes to executives.

Own and scale the finance and accounting data ecosystem: design and maintain BigQuery integrations, ensure data integrity and governance, build reconciliations and automated controls, develop scalable reporting and dashboards, support monthly close, forecasting, budgeting, and automate finance processes to improve visibility and efficiency.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Manage client-facing data and analytics projects: define data strategy, build automation and ETL, develop visualizations and predictive analytics, drive transformation, manage scope/budget, and communicate findings to non-technical stakeholders while leveraging finance knowledge.

Lead Compliance Data Analytics to research and analyze risk patterns (fraud, account takeover, payment fraud), deploy and iterate rules/models, partner with stakeholders to balance user experience and risk mitigation, drive business-centric analytics and strategic metrics, and build and manage a high-performing compliance analytics team.

Support partners in voter engagement by administering VAN and related tools, managing users/security, producing data pulls and visualizations, training partners on data hygiene and field tools, providing technical assistance, and coordinating with national and state data teams to maintain shared infrastructure and best practices.

Manage and grow a data engineering team, overseeing the design and maintenance of data platforms using Snowflake, dbt, and Azure. Drive best practices in data management and ensure reliable data movement and quality.

The Exposure Data Manager leads analytics to understand exposure patterns, enforces data standards, ensures data quality, and collaborates across departments for effective exposure management.

Manage delivery of complex data pipelines in a hands-on role, leading a team of data engineers to develop scalable data solutions and improve analytics capabilities.