Top Senior Data Management Jobs

Lead and manage BI and Big Data projects with strong project management, AWS, Datastage and DB2 expertise. Collaborate in a global delivery model, apply analytical skills, communicate with stakeholders, and deliver enterprise data solutions.

Lead development and implementation of a companywide data governance program: define governance standards, data definitions, business and quality rules, and data accountability. Manage business participation, review and improve operational processes, ensure effective management controls, lead engagements, present findings to senior management, and maintain enterprise documentation in coordination with SVP/VP stakeholders.

Lead and mentor a data engineering team, define technical vision and strategy, oversee data pipeline design, and collaborate with cross-functional teams.

Lead analytics and insights for Vendor Management by delivering advanced reporting, decision-support analyses, and scalable data solutions. Own data platform reliability, governance, ETL pipelines, semantic layers, and self-service reporting (Tableau/Power BI). Partner with stakeholders and technology teams to translate requirements, automate data curation, and produce executive summaries that drive vendor management decisions.

Lead product strategy and roadmap for enterprise marketing data products (MDP, Customer 360, conversational analytics). Coordinate data engineering delivery, design scalable data models, improve data governance and quality, modernize cloud-native architectures, and enable AI-ready customer intelligence to support measurement, personalization, and commercial decision-making.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.

Own the end-to-end data products for Supply Chain: define roadmap, translate stakeholder needs into technical user stories, design scalable data models, oversee ELT/ETL pipelines and BI analytics, ensure data quality/governance, and lead Agile delivery while enabling predictive analytics.

Lead the Consumer Data Engineering team to build and deliver Gold-layer data products within a GCP Medallion architecture. Manage onshore engineers and offshore partners, align technical roadmaps with business priorities (personalization, attribution, omnichannel), ensure architecture standards, enforce code quality and testing, and run agile delivery of data product features.

The Senior Manager, Data Lakehouse leads operations of UMGC's enterprise data strategy, focusing on the Databricks platform, team management, and cross-functional collaboration for analytics initiatives.

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

Lead delivery, support, and continuous improvement of enterprise reporting, dashboards, and analytics using Power BI and Microsoft Fabric. Partner with executives and business process leaders to define KPIs, enforce reporting governance and data quality, mentor analysts, manage cross-functional analytics projects, and drive analytics adoption and operational transparency.

The Operations Data Analytics Manager will support strategic operations and supply chain initiatives by solving problems, analyzing data, and collaborating across teams to provide insights for decision-making and project alignment.

Lead a remote US team that builds and operates ETL and migration processes to move legacy EHR data into athenahealth. Oversee Python-based tooling, define source-to-target mappings, ensure HL7/FHIR interoperability and EHI export compliance, drive data quality, automation, documentation, stakeholder alignment, and coach engineers.

Senior leader responsible for strategy, architecture, and execution of enterprise data engineering. Build and lead a 10-15 person team, design scalable data platforms and pipelines (cloud-native), drive governance, ensure AI/ML-ready data, manage delivery, vendors, SLAs, and M&A integration.

Dual-hatted Program Manager and Data Architect to lead EOIR Enterprise Data Infrastructure. Manage the task order, supervise technical teams, design enterprise data architecture, build ETL/ELT pipelines, enforce governance, deliver analytics and Power BI reporting, ensure compliance with DOJ/FISMA/FedRAMP, and produce program documentation and roadmaps.

Lead and grow a data and analytics engineering team to design and own Limble's analytical data infrastructure, reporting framework, data pipelines, and governance. Partner with product to translate analytics needs, enforce SLAs and observability for data freshness and quality, drive architectural decisions, and remain hands-on to review designs and unblock the team.

Lead and scale the enterprise data hub: manage the data warehouse, build reliable ingestion and transformation pipelines, implement governance and data modeling best practices, deliver GTM-ready metrics, enable AI/ML use cases, prioritize the data roadmap, and lead/mentor a data engineering team.

Lead evaluation, development, and deployment of scalable batch and streaming data pipelines and datasets to support ML training/execution and search analytics. Architect end-to-end hardware/software solutions, implement automation, monitor and troubleshoot distributed systems, define standards, mentor ETL developers, and collaborate with data scientists, architects, and operations to ensure security, performance, and reliability.

Lead enterprise data management including governance, data quality, MDM, cataloging, and controlled distribution. Own policies, stewardship, MDM workflows (Reltio/SAP), vendor relationships, and metrics to improve master data trust, reduce duplicates, and enable faster onboarding. Coach stewards, partner with engineering/BI, and support audit, privacy, and compliance.

Lead design, reliability, and daily operations of core data pipelines and analytics infrastructure while managing data and analytics engineers. Ensure scalable ELT/ETL, trusted dbt models, data governance, and cross-functional alignment with Analytics, Product, and Technology. Translate business priorities into technical roadmaps and promote best practices, monitoring, and documentation.

Lead BI, reporting, and data governance for insurance BPS. Manage call center/business managers, build enterprise Power BI solutions, ensure data integrity, drive KPIs, partner with Ops/IT/Finance, and deliver reporting modernization and audit‑ready governance.

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.

Lead design and maintenance of scalable data models, dbt transformations, and cloud data warehouses. Manage a distributed team of 7–8 data engineers/analysts, ensure data quality, governance, ELT best practices, performance tuning, integrations, and stakeholder alignment across servicing technology.

The Manager, Data Governance will lead the implementation of data governance strategies to support AI and analytics, ensuring data quality, compliance, and ownership while promoting data literacy across the organization.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.