Top Data Management Jobs

This role involves leading the Data Engineering team, managing large-scale data pipeline delivery, ensuring data quality, and fostering partnerships with other teams for data governance and project management.

Manage analysts and vendor relationships, oversee data budget, develop integration roadmap, and evaluate new data services including Proofs of Concept.

Manage analytics workstreams across operations: triage and root-cause data issues, partner with engineering, data, and customer success to implement fixes, scope and execute analyses, develop dashboards and reports, communicate findings to technical and non-technical stakeholders, and lead a small analytics team.

Manage data issue triage and root-cause analysis across teams; scope and execute analytical requests; build dashboards and reports; partner with engineering, data, and customer success; communicate findings to varied audiences; lead and develop a small analytics team.

Manage data analytics efforts across Operations: triage and root-cause data issues, partner with engineering/data/customer success to implement solutions, scope and execute analytical requests, produce reports and dashboards, and communicate findings to technical and non-technical stakeholders.

Lead cross-functional triage and root-cause analysis of data issues, partner with engineering, data, and customer teams to implement fixes, scope and execute analytic requests, develop dashboards and reports, and manage a small analytics team while communicating findings to technical and non-technical stakeholders.

The Enterprise Data Engineering Manager will lead data implementations and architecture, establish frameworks, and mentor teams to deliver scalable data solutions.

Lead end-to-end data migration strategy and execution for complex franchise partners—perform discovery, map legacy data, troubleshoot imports, align stakeholders, and build scalable playbooks to standardize data delivery and ensure seamless platform transitions.

Lead end-to-end analytics to transform complex data into strategic insights. Build and maintain scalable dashboards, pipelines, and forecasting models. Partner cross-functionally to define KPIs, democratize insights, ensure data quality and governance, and present actionable recommendations to senior leadership to improve product and business outcomes.

Lead and scale the data engineering function: design and maintain Azure-based data warehouse and high-performance ETL pipelines, ensure data quality and governance, mentor the team, collaborate with stakeholders, and drive data strategy and innovation.

Lead a team to design, build, administer, and govern cloud-based enterprise data platforms. Partner with engineering, analytics, and infrastructure teams to deliver scalable, secure, reliable platforms (Snowflake/Databricks/Kafka/Airflow). Champion automation, IaC, CI/CD, cost optimization, and platform lifecycle management while mentoring staff and promoting best practices and continuous improvement.

Lead global customer master data strategy, governance, and operations. Build and manage a global team to centralize and harmonize customer lifecycle processes, improve data quality, drive large-scale migrations and platform enhancements, and collaborate with stakeholders to implement roadmaps across data, process, applications, and organizational change.

Monitor and ensure data quality for electronic case management and NSO databases, prepare reports, manage office systems and supplies, handle calls and billing form review, maintain confidentiality and HIPAA compliance, complete required trainings and certifications, and perform other duties as assigned.

Lead implementation of data governance across the Enterprise Data Platform and DOHMH. Manage DGIU staff and the Open Data Coordinator, create policies, workflows, training, and project plans, align governance with legal/privacy requirements (e.g., HIPAA), collaborate with IT and BDTS teams, and ensure compliance with open data laws and data access controls.

Lead and mentor a data engineering team to deliver cloud-based data warehouse solutions. Drive architecture, code quality, CI/CD, source control, security, governance (SOX), and vendor coordination while implementing Snowflake, dbt, Matillion, Oracle, and SQL Server-based ELT/ETL pipelines.

Lead a data engineering team to develop and maintain data warehousing solutions, manage legacy integrations, guide architecture and vendor partners, deliver projects using Agile, monitor data quality and platform health, and engage stakeholders to align technical work with business needs.

The Manager of Data Analytics will convert data into actionable insights for Product, Marketing, Content, and Finance teams, balancing speed and accuracy while collaborating with stakeholders.