Top Data Management Jobs

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 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.

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 validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

The Senior Manager leads card data management, ensuring data quality, compliance with policies, and driving automation and risk oversight through team collaboration and innovation.

Lead and mentor a team of analysts to drive risk product strategy using large-scale data analysis, model testing, BI, and reporting. Design and implement data storage/production systems, run experiments, improve processes, and collaborate across business units to deliver analytics-driven product and customer experience improvements.

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.

As a Senior Manager, Data Analysis, you will validate analytical tools, enhance technical skills, manage projects, and coach junior staff while collaborating cross-functionally.

Lead day-to-day operations and reliability of the Snowflake data platform; build monitoring and incident response frameworks; ensure SLA performance; transition platform operations to a scalable practice; maintain operational documentation; escalate and resolve issues; partner with engineering, product, and business stakeholders; coach and guide engineering teams.

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.

Lead a team of analysts to drive strategy, mine and analyze large datasets, build and validate models, improve reporting and processes, design tests, and collaborate across business units to enhance business card and payments products.

Lead design and delivery of executive-grade dashboards and AI-enabled conversational analytics for Wealth Management Finance. Own end-to-end visualization products (ThoughtSpot, Databricks, Tableau), validate semantic models and metrics, enforce controls in a regulated environment, drive adoption through enablement, and mentor analysts while partnering with Data Engineering, Product, and Finance stakeholders.

Lead end-to-end delivery of governed CRM data products for CIB Sales: define requirements, ensure data quality, SLAs, documentation, and deliver reusable datasets, APIs, dashboards and ML-ready assets while partnering with stakeholders and platform teams.

Lead portfolio-level product operations and change management to drive adoption of AI and analytics tools. Design and run persona-based training, measure adoption and effectiveness, coordinate cross-product priorities, and enable operational efficiency by partnering with HR, analytics teams, and stakeholders to ensure successful AI upskilling and sustained value realization.

Lead data analytics for the Hotels Travel Agency team: define KPIs, build dashboards, run A/B tests, conduct deep-dive analyses, troubleshoot tracking and data quality, and partner with product and engineering to improve data models and accessibility.

Lead validation of enterprise analytical tools: refine frameworks, plan and execute validation projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff while influencing business strategy.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

The Manager of Data Analysis leads a team to leverage analytics for improving customer experience, driving strategy, and implementing data models. Responsibilities include data mining, process improvement, and project lifecycle management, all within a collaborative environment.

The role involves driving strategy through data analytics, leading a team, implementing process improvements, and developing data models. Requires strong analytical, problem-solving, and leadership skills.

Manage and improve Capital Planning data systems, create automated pipelines, enforce data governance, reconcile and standardize reports, produce analyses and visualizations for leadership, support coordination with IT, and assist training and documentation to enable data-driven decision making.

Lead enterprise data strategy and analytics initiatives; build dashboards and reports (Power BI, Tableau); perform advanced analytics, predictive modeling and ETL (Python, SQL, Snowflake, Alteryx); advise leadership, deliver client reporting, mentor analysts, and develop self-service tools to scale insights.

Lead development and maintenance of equity analytic datasets, pipelines, and factor models to support quantitative research, portfolio risk and return attribution. Ensure data quality and process stability, deliver recurring and ad-hoc analytics, build dashboards, troubleshoot production issues, and provide technical and strategic guidance while mentoring junior staff and coordinating across business, technology, and vendor teams.

Lead enterprise data strategy and analytics initiatives: translate requirements into data products, validate data quality, build dashboards and reports, develop cloud-based analytics using AWS and BigQuery, implement digital analytics with Adobe Analytics, mentor analysts, and deliver actionable insights using SQL, Python, R, and BI tools.

Lead a team to build repeatable reports, dashboards, and scorecards; ensure data integrity; provide BI support; collaborate with cross-functional stakeholders; design and manage A/B and multivariate tests; manage project communications and deliverables.