Top Senior Data Management Jobs

Lead the architecture and delivery of enterprise data platforms, optimize data pipelines, enable AI/ML use cases, engage clients on technical strategy, and develop the data platform team.

Lead enterprise data governance and data quality programs by designing DG policy, metadata/CDEs, lineage, and DQ automation. Build Python pipelines and AI/ML models for automated DQ checks, integrate governance with tooling (catalogs, ServiceNow, dashboards), deliver Power BI/Tableau insights, partner with stewards and SMEs, and monitor DQ KPIs to improve retail, finance, inventory, and omnichannel reporting.

The role involves leading data engineering and analytics teams, optimizing data systems, collaborating on data pipelines, and managing data infrastructure projects.

Lead development and operation of the enterprise Data & Analytics platform. Own roadmap, platform capabilities, CI/CD, automated provisioning, monitoring, governance, cost optimization, and incident management. Partner with engineering, architecture, security, and business teams, act as product owner for platform services, and manage a team of platform engineers to enable self-service, secure, and scalable data delivery.

Lead architecture and delivery of Radiant's enterprise data platform and AI strategy. Own vendor evaluations for secure AI tooling, mentor engineers, coordinate with software teams, ensure Databricks-based integrations and dashboards meet ITAR/EAR compliance, and act as a hands-on technical leader.

Lead a centrally‑federated team of Data Stewards and Data Quality Analysts to operationalize data governance. Translate policies into stewardship processes, enforce consistent definitions and quality rules, oversee issue escalation and remediation, embed stewardship into projects, monitor KPIs, and partner with governance, engineering, and business stakeholders to maintain metadata, lineage, and data fitness.

The Manager of MDM leads projects for Master Data Management systems, working with teams to ensure successful client engagements in the pharmaceutical and life sciences sector.

The Data Specialist will manage BIM data integration and digital ecosystem strategies to support the LA28 Olympic Games, focusing on operational readiness and data-driven decision-making.

The Senior Data Manager/Analyst supports data analysis and project designs for foreign assistance programs, ensuring data quality and developing reporting products.

The Data Operations Sr. Manager leads data operations by managing daily workflows, improving data quality, and collaborating with teams to deliver data solutions. Responsibilities include troubleshooting issues, automating processes, and coaching the operations team while ensuring compliance with healthcare data standards.

Lead and manage an analytics team to design and deliver self-service BI, dashboards, reports, and data warehousing solutions. Define analytics roadmaps and metrics, ensure data integrity, collaborate with cross-functional teams, support end users, and manage project communications to drive measurable business results.

Lead and develop data engineering leadership and teams to deliver scalable enterprise data products and platforms. Own product lifecycle, roadmap, and execution; design scalable pipelines and frameworks; enforce data quality, governance, and observability; partner with stakeholders to align data strategy to business outcomes; evaluate and implement modern data technologies; drive adoption and reliability across domains.

Lead a global, hands-on data engineering team building large-scale Databricks/PySpark pipelines, production datasets, customer-facing data feeds, AI-ready analytical datasets, and data quality/observability systems. Partner cross-functionally, use AI coding tools to accelerate delivery, and ensure operational excellence, reliability, and documentation for investor-facing products.

Lead a data engineering team to design, build, and maintain data warehousing solutions and legacy integrations. Oversee architecture decisions, vendor management, Agile delivery, data quality reporting, platform health, stakeholder communication, and adherence to governance and security standards while mentoring engineers and ensuring project execution.

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.

Lead a new data stewardship and reporting subdepartment to maintain clean member data, coordinate intake/enrollment workflows, oversee contractors/staff, manage reporting and payment data, support cross-team handoffs, design efficient engagement processes, and use engagement data to inform program decisions and funder reporting.

The Data Manager oversees data management strategies, drives data governance, and fosters analytics capabilities to enhance decision-making and operational efficiency.

The Data Engineering Manager leads a team delivering technology solutions, implementing data strategies, guiding technical projects, and ensuring data performance and reliability for analytics and reporting.

Lead operations for a portfolio of enterprise data, analytics, AI and automation platforms. Manage onshore/offshore systems engineers and vendors to deliver 24x7 support, incident management, security/compliance, service level management, continuous improvement, and platform lifecycle activities while partnering with architects and business stakeholders.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

As a Senior Manager of Data Analytics & Insights, you'll lead efforts in data transformation into actionable insights for strategic decisions across Talent Acquisition and Management. Responsibilities include designing workflows, creating dashboards, collaborating with leaders for analytics solutions, and mentoring team members.

Manage and enhance sustainability technology solutions (Microsoft Fabric, MSM, ERA), oversee data pipelines, dashboards, integrations, compliance, and cloud infrastructure. Lead change management, maintain documentation and training, troubleshoot data/metric issues, prioritize feature backlog, and mentor potential direct reports supporting sustainability reporting and analytics.

Lead data engineering strategy and delivery for Orthopaedics Supply Chain, modernizing to a Databricks lakehouse. Manage teams, define architecture, enforce governance, implement automated pipeline testing, and partner cross-functionally to deliver reusable, business-ready data products.

Lead market data collection, validation, analysis, and governance across multiple asset classes. Build QA processes, data models, dashboards, and documentation. Partner with engineering, ops, risk, and business teams to resolve data issues, improve workflows, and prioritize enhancements. Mentor and manage a team to deliver high-quality market data, analytics, and reporting.