Top Senior Data Management Jobs

The Senior Manager of Data Engineering leads developers in creating technical solutions using various technologies, mentoring staff, and collaborating to enhance cloud-based services for financial empowerment.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

The Senior Manager will lead cross-functional analytics projects, validate analytical tools, and mentor junior staff while driving data-based business strategies.

Lead the enterprise data platform strategy and architecture, driving Snowflake/dbt-based platform evolution, self-service Data Mesh and medallion models. Build AI-ready pipelines, RAG systems, and observability/cost frameworks while managing a central data team, supporting federated BI, and executing hands-on technical work.

Lead and grow the data platform engineering team; own technical direction for pipelines, infrastructure, orchestration, and standards; drive reliability, observability, cost optimization, and governance; recruit and mentor engineers; collaborate cross-functionally to align platform priorities with business needs and enable analytics and ML workloads.

Provide Regional Content Management and GEOINT support. Advise on data delivery methods, analyze data for enhancements, and develop workflows. Present instruction on GEOINT usage and maintain map services using ESRI Portal technology.

Build and lead the Compliance data function, owning data products for Customer Risk, Transaction Monitoring, AML, Sanctions. Design and implement data risk frameworks (quality, usage, lineage), enforce data contracts between producers and consumers, maintain end-to-end lineage with Engineering, and drive a risk-based data roadmap aligned with compliance requirements.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Manager, Data Analysis will lead a team of analysts, leveraging analytical skills and models to drive data strategy and improve customer experiences. Responsibilities include mining complex data, enhancing operational efficiencies, and mentoring junior team members while collaborating across business units.

Lead a team building and operating scalable data pipelines and platform infrastructure. Hands-on coding, code review, and delivery ownership; enforce best practices for testing, CI/CD, observability, and cost optimization. Mentor engineers, recruit talent, and collaborate with analytics, data science, and business stakeholders to translate requirements into platform solutions.

Serve as strategic operator for Data & Analytics: run planning and quarterly business review processes, lead cross-functional strategic programs, identify AI and analytics opportunities, produce executive narratives and decision frameworks, and scale operating mechanisms to connect DNA strategy to company OKRs and delivery.

Lead analytics engineering to design and maintain transformation layers, data models, and semantic layers. Ensure data quality, governance, observability, and single source of trusted metrics. Modernize reporting, support self-service analytics, collaborate across teams, review and test code, and leverage AI to improve analytics outputs.

The Manager of Data Analytics leads a team of analysts, managing analytics delivery, providing guidance, and enhancing processes for improved operational insights.

The Data Science Manager will lead a team to deliver insights using data science techniques, influencing business strategies and providing guidance to senior management.

The Senior Manager of Data Analysis will manage validation projects, assess analytical tool risks, and mentor junior staff while collaborating cross-functionally and enhancing analytical capabilities.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead a team of data engineers and DBAs to ensure reliability, performance, and security of a data platform spanning SQL Server, Azure SQL, Snowflake, and Microsoft Fabric. Hands-on role includes performance tuning, incident response, monitoring, backup/recovery, platform modernization, and partnering with engineering and analytics for scalable, cost-efficient systems.

Lead a global analytics team to transform financial and operational data into actionable insights. Partner with stakeholders to align analytics with strategy, build scalable Power BI dashboards integrated with Snowflake, apply predictive modeling and ML, enforce data governance, drive automation with Python and Power Automate, and improve data architecture and reporting to inform decision-making and business performance.

Lead data strategy, architecture, and modeling for high-volume transactional network platforms. Build monitoring and anomaly-detection frameworks, optimize operational data schemas, align local assets with enterprise data strategy, communicate findings to stakeholders, and mentor technical staff.

As Senior Manager of Data Analysis, you will validate analytical tools, manage validation projects, assess quality and risks, and mentor junior staff.

Lead a team of analysts to drive strategy through data mining, modeling, and BI. Work with massive datasets, design/validate tests, improve reporting/processes, consult on data systems, and collaborate across business units to enhance customer experience.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

The Senior Data Analysis Manager will manage data analytic projects, create dashboards, partner with stakeholders, and lead a team, focusing on strategic insights and analytics.

Lead a team to design and operate scalable Databricks/lakehouse platforms, ETL/ELT pipelines, data models, BI dashboards, and productionized ML. Ensure data quality, governance, and deliver actionable analytics and KPIs to drive business decisions while mentoring engineers, scientists, and analysts.

Lead a team of people analytics analysts to deliver talent acquisition and international strategy analytics. Own data standards, end-to-end projects, pipeline integrity, AI/automation prototyping, and executive reporting while coaching staff and translating technical insights into recommendations for senior leadership.