Top Data Management Jobs

Leads global master data quality and governance, manages onshore and offshore teams, and develops data quality standards, playbooks, dashboards, validation rules, and automated monitoring. Collaborates with business, IT, finance, sales, operations, and customer service stakeholders to resolve root causes, improve data integrity, support reporting, and maintain master data across enterprise systems. Serves as the organization’s data quality subject matter expert.

Manage ERP master data governance across SAP and JDE platforms. Lead data quality issue resolution, stewardship, standards, policies, documentation, metrics, training, and continuous process improvement. Partner with business and data management leaders to align practices with the Global Template, influence stakeholders, mentor teams, resolve conflicts, and improve data quality across a complex manufacturing environment.

Manages wildfire debris-removal data, including field-data quality assurance, load-ticket reconciliation, invoice discrepancy identification, reporting, and project-document control. The role coordinates reconciled and voided tickets with contractors, prepares payment recommendations, exports client reports, maintains project records, and supports closeout activities. Work occurs in remote Alaska with extended shifts, weekends, and potentially 70–90 hours per week during the response period.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Leads enterprise data governance strategy, data quality standards, stewardship models, policies, metadata, lineage, classification, access controls, and lifecycle management. Partners with business and technical teams to resolve data quality issues, implement governance platforms, monitor KPIs, communicate risks, and maintain compliance with regulations such as HIPAA and GDPR.

Manages a data engineering team responsible for scalable, reliable data pipelines, infrastructure, and analytics tooling. Provides mentorship, performance management, and technical leadership while coordinating with product, analytics, finance, compliance, engineering, and regulators. Prioritizes cross-functional projects, supports data architecture and governance, ensures performance and reliability, and operates within strict regulatory and audit requirements.

Leads enterprise data engineering solutions for financial services clients using Snowflake, Databricks, SQL, and Python. Designs and optimizes ELT/ETL pipelines, data models, analytical datasets, orchestration, governance, and performance solutions. Mentors data engineers, manages technical priorities and deliverables, reviews designs and code, and works directly with business and technology stakeholders on accounting, tax, finance, risk, and regulatory reporting initiatives.

Leads advanced data analytics and customer insights initiatives, transforming structured and unstructured data into strategic recommendations. Develops statistical analyses, reporting capabilities, dashboards, and data-driven solutions to support organizational prioritization and improve customer experiences. Collaborates with analytics, engineering, data science, marketing, and product teams while applying tools such as SQL, Python, R, Tableau, Power BI, Snowflake, and Athena.

Manage data and operations for the CUNY Beyond initiative at Kingsborough Community College. Responsibilities include creating and improving workflows, building data systems and pipelines, developing dashboards and reports, tracking implementation outcomes, analyzing performance metrics, configuring student and customer technology platforms, and providing actionable insights. The role also supports reporting, proposal development, stakeholder communication, user guidance, and cross-functional collaboration across the college, CUNY Central, and external partners.

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 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.

Leads OpenAI’s Growth & Revenue data engineering team, owning data strategy and delivery across growth, subscriptions, billing, payments, monetization, and revenue. Builds and manages a high-performing team, develops reliable and well-modeled data products, establishes trusted metrics and quality standards, and partners with Data Science, Product, Finance, and Engineering. The role also oversees roadmap planning, privacy, governance, observability, incident response, stakeholder communication, and team hiring and development.

Analyzes, cleanses, validates, and prepares operational datasets for mailing, email, reporting, billing, and processing activities. Develops Databricks queries and Alteryx workflows to automate processes and improve data quality. Performs audits, reconciliations, root-cause analysis, and corrective actions while maintaining governance and security compliance. Provides actionable insights, mentors junior analysts, communicates findings, and leads continuous improvement initiatives.

Leads enterprise analytics, reporting, data engineering, and data platform teams. Sets strategy, manages managers and technical teams, drives modernization and roadmap execution, and partners with business and technology leaders. Oversees scalable, secure, governed analytics solutions using Microsoft and Databricks technologies while establishing standards for data management, reporting, operational support, and self-service analytics. Also supports AI-enabled capabilities, vendor relationships, budgets, and high-performing team development.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Leads a team delivering curated, reusable, AI-ready data products for AbbVie’s R&D data platform. Oversees data curation, quality, modeling, metadata, governance, documentation, pipelines, Agile delivery, and issue resolution. Coordinates engineers, architects, platform teams, vendors, and stakeholders while managing priorities, dependencies, risks, and continuous improvement. Ensures data products meet business, scientific, security, compliance, and platform needs.

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.

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.

Manage and secure the organization's data operations: administer and optimize relational databases, maintain Tableau dashboards, lead offshore DBAs/analysts, ensure HIPAA-compliant backups/recovery, support ETL/data ingestion pipelines, automate routine tasks, and collaborate with developers and data engineers to improve performance and data integrity.

Leads a small team responsible for SQL Server data warehousing, ETL pipelines, outbound data feeds, and enterprise Power BI. Oversees platform operations, governance, reliability, and self-service BI adoption while helping establish a Databricks and Azure cloud data platform. The role drives data modeling, quality, security, Agile delivery, vendor management, and stakeholder partnerships, while applying AI tools to improve engineering and analytics workflows.

Leads a data engineering team responsible for designing, developing, testing, deploying, and maintaining scalable data products and platforms. Sets technical direction, manages team performance and development, establishes engineering standards, and oversees data quality, security, governance, and operational excellence. Partners with product owners, enterprise architecture, information security, data governance, and business stakeholders to deliver data solutions. Defines team strategy and roadmap, evaluates emerging technologies, and communicates metrics and progress to senior leadership.

Lead and grow a Business Intelligence team, partner with senior leaders to prioritize analytical initiatives, ensure analytic output quality, drive BI operating model evolution, adopt modern BI tooling and self-service, and embed AI-assisted methods to improve decision-making.

Manage and curate clinical, biospecimen, experimental, raw, and derived scientific data for a biomedical research laboratory. Maintain institutional and cloud data resources and scientific websites, support open science and FAIR principles, contribute to grants and manuscripts, train lab members, and attend scientific conferences. The role requires careful data management, collaboration with researchers and engineering staff, strong communication, and the ability to manage shifting priorities in an in-person academic environment.

Leads data analysis, reporting, performance evaluation, and dashboard development for federal transition assistance programs. Manages data integration, modeling, quantitative and qualitative analysis, program evaluations, executive reporting, and performance measurement. Translates complex data into actionable recommendations supporting operational effectiveness, strategic planning, modernization, and continuous improvement. Collaborates with government leaders, program managers, technical teams, and stakeholders. The role is remote with occasional travel for in-person meetings.

Leads public financial management data analysis, fund-flow and expenditure reconciliation, fiduciary risk assessment, and verification support in Uganda. Produces dashboards, exception reports, risk flags, and evidence summaries from financial, HRIS, and administrative data. Supervises and trains analysts and verification teams, coordinates with government and project stakeholders, maintains audit trails, and identifies issues requiring targeted field verification.