Top Remote Data Management Jobs

Leads a team of data engineers and subject matter experts delivering cloud-based data pipelines, AI-enabled workflow automation, and operational maintenance for HEDIS programs. Oversees cloud migration, regulatory reporting, quality measure compliance, stakeholder and auditor communications, technical architecture, production readiness, and service-level commitments. Mentors team members, resolves cross-functional dependencies, evaluates enterprise AI tools, and ensures scalable, reliable data engineering delivery across healthcare insurance data domains.

Lead and grow a global data engineering team while establishing foundational data platforms and engineering standards. Design and oversee GCP-based pipelines, medallion data models, DataOps, monitoring, SLAs, CI/CD, governance, and data quality practices. Drive AI adoption across engineering workflows and build reliable, AI-ready data. Partner with business and technology stakeholders to prioritize roadmaps, deliver scalable solutions, and support data democratization.

Own and operate Toast’s enterprise data governance program, including data domain ownership, governance council coordination, policy compliance, business glossary management, metadata standards, catalog adoption, maturity assessments, and data literacy training. The role partners with business stakeholders, data stewards, catalog teams, and leadership to improve data trust, compliance, discoverability, and quality. It requires governance, metadata, SQL, data catalog, program management, and workshop facilitation experience.

Leads the enterprise data platform strategy, architecture, governance, and evolution. Manages a central data team and enables federated self-service analytics across business functions. Builds AI-ready data pipelines, RAG and Graph RAG architectures, custom data applications, observability, cost optimization, and AIOps capabilities. Requires hands-on expertise with Snowflake, dbt, modern ETL, Python, SQL, CI/CD, and Data Mesh architectures, along with 5+ years leading technical data teams.

Owns and maintains organizing data systems, voter-contact tools, and organizational databases. Ensures data integrity through quality assurance, audits, standardized processes, documentation, and permission management. Supports organizers by troubleshooting tools, managing data requests, providing training, and improving workflows. Writes SQL queries in BigQuery, develops reports and visualizations, supports integrations, and collaborates with engineering and analytics teams on data models and priorities.

Manage and maintain healthcare data assets, including medical and pharmacy claims, analytical datasets, integrations, metadata, and data quality processes. Build and validate complex SQL queries, coordinate with data suppliers and engineering teams, translate business requirements into data solutions, and support analytics, governance, documentation, and process improvement initiatives.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

The Senior Data Manager oversees configuration control, data management, deficiency reporting, requirements and document management, change control, baseline management, and full data lifecycle processes. The role develops data architectures, policies, and procedures; validates, protects, processes, and delivers enterprise data; and documents data flows, business rules, dependencies, and support procedures. It requires Python, SSIS, SQL, Databricks, relational database, and complex dataset experience in a remote environment.

Leads the architecture and implementation of Nokia’s scalable data platforms for photonic integrated circuit operations. Responsibilities include developing lakehouse and warehouse solutions, data models, batch and streaming pipelines, data quality and observability frameworks, CI/CD and DataOps practices, governance, security, and AI-ready data foundations. The role also leads and mentors product engineering teams, enables secure self-service analytics, and drives enterprise data excellence and innovation.

Build and lead Inovalon’s third-party data governance program, including data asset inventory, licensing controls, contractual rights management, data intake and release governance, audit readiness, compliance monitoring, and KPI reporting. Partner with Legal, Privacy, Procurement, and business leaders to manage data usage, renewals, access revocation, disposition, and downstream obligations. Develop a governance team while applying expertise in healthcare data, HIPAA, de-identification, and data licensing.

Leads analytics and measurement strategies for digital products, customer experiences, clinical interventions, and pharmacy workflows. Translates business questions into KPIs, analytical plans, reporting solutions, and recommendations. Performs opportunity sizing, segmentation, journey analysis, data quality evaluation, revenue forecasting, and value tracking. Partners with product, data engineering, technology, and commercialization teams while communicating insights to senior stakeholders and improving automation and analytics practices.

Leads data collection, modeling, analysis, performance measurement, program evaluation, dashboards, reporting, and modernization initiatives for the VA Transition Assistance Program. Integrates quantitative and qualitative information from VA, military, Department of Labor, and other interagency sources to identify gaps, evaluate pilots, develop performance metrics, and provide actionable recommendations. Prepares executive briefings and coordinates analytics activities with government and program stakeholders.

Leads analytics initiatives and develops reporting, dashboards, automation, data models, and AI-enabled solutions to support business decisions. Manages priorities, timelines, risks, and stakeholder relationships across projects while coaching an analytics team. Reviews solution quality, guides technical delivery, and identifies opportunities for self-service analytics and process improvement. Requires six or more years of analytics or business intelligence experience, leadership experience, and proficiency with platforms such as Power BI or Tableau.

Leads analytics initiatives and manages a team of analytics professionals while delivering reports, dashboards, automation, data models, and AI-enabled solutions. Partners with stakeholders to define business needs, prioritize projects, manage risks, communicate progress, and drive adoption. Coaches team members, reviews solution quality, and improves efficiency through self-service analytics and modern tools. Requires substantial analytics experience, people or project leadership, and expertise with business intelligence platforms and semantic data models.

Supports the design, implementation, adoption, and operation of data governance capabilities for Fusion master data. Responsibilities include defining governance processes, roles, controls, workflows, KPIs, documentation, forums, training, stakeholder engagement, and BAU transition. The role facilitates collaboration among business and technology teams, supports Oracle EDM workflows, improves adoption and data quality, and guides data owners and stewards through governance processes.

Leads enterprise data governance operations and Cambia’s data platform governance, including stewardship, metadata, data quality, classification, lineage, and semantic-layer governance. Develops policies and standards, ensures regulatory compliance, improves processes, tracks KPIs, and builds AI-ready data foundations. Manages employees and contractors, partners with IT, Security, Compliance, Privacy, and business stakeholders, and executes strategic governance plans while contributing hands-on to technical deliverables.

Leads marketing measurement, forecasting, attribution, media mix modeling, and LTV/CAC analysis across D2C channels. Builds analytical infrastructure, evaluates channel performance, supports budget allocation, and conducts cohort and retention analysis. Partners with executives, marketing, finance, product, and data engineering to translate complex findings into actionable recommendations. The role also establishes reporting for new channels, supports scenario planning, and communicates insights that guide growth and investment decisions.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.

Leads data engineering, business intelligence, and analytics teams; oversees data pipelines, integration infrastructure, database architecture, CI/CD practices, and enterprise data platform strategy. Partners with business and technology stakeholders to define requirements, improve data capabilities, maintain Ubuntu-based services, and deliver reporting and KPIs to leadership. Responsible for team hiring, development, mentoring, operational health, and technical execution across analytics and data integration platforms.

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.

Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.

Manages global trade data and automation initiatives by building dashboards, reporting tools, and SharePoint environments. Collects, cleans, validates, and analyzes large datasets to identify trends, anomalies, and improvement opportunities. Collaborates with program management, audit, investigations, disclosure, and technology teams to deliver actionable insights, monitor data health, and support compliance-related reporting.

Manages corporate real estate spatial data, CAD drawings, CAFM systems, space allocation models, reporting, data governance, and system administration. Supports project management, occupancy planning, and move management by maintaining accurate as-built drawings, monitoring space data, establishing global standards, coordinating system integrations, training users, and recommending process improvements. Requires expertise in CAD/CAFM, drafting, space planning, and corporate real estate data management.