Top Data Management Jobs

Leads the enterprise data platform strategy, architecture, governance, and evolution. Manages a central data team and enables federated self-service analytics across business functions. Builds AI-ready data pipelines, RAG and Graph RAG architectures, custom data applications, observability, cost optimization, and AIOps capabilities. Requires hands-on expertise with Snowflake, dbt, modern ETL, Python, SQL, CI/CD, and Data Mesh architectures, along with 5+ years leading technical data teams.

Lead design and implementation of data infrastructure, pipelines, and warehouses using Azure Data Factory, Databricks, and Snowflake. Manage data modeling, quality, security, and analytics frameworks. Lead client accounts, mentor teams, and drive innovation to deliver data-driven business insights.

Lead and coach teams to design, code, test, and deliver software solutions driving digital transformation for tax clients. Translate requirements into technical specs, perform code reviews, troubleshoot complex issues, maintain client relationships, and promote innovation and systems thinking to validate outcomes and improve products.

Lead design and implementation of scalable data infrastructure, pipelines, and transformations using cloud platforms. Build and optimize data warehouses (Snowflake, Databricks), orchestrate workflows (Airflow, Hadoop), ensure data quality and security, and coach teams to deliver analytics solutions that drive tax practice insights and client outcomes.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Leads client-focused data analytics initiatives within PwC’s Risk & Regulatory practice. Develops business intelligence, visualization, and advanced analytics solutions using Python, Oracle Business Intelligence, QlikView, and Spotfire. Builds stakeholder relationships, validates outcomes, drives process improvement, and applies systems thinking to solve complex business challenges. Oversees scalable deployments and coaches teams through ambiguous situations while delivering strategic insights and improved client performance.

Lead development and deployment of data-driven software solutions within the Tax practice. Manage client relationships, guide teams in design/coding/testing, enforce coding standards, implement CI/CD, integrate enterprise applications, conduct code reviews, mentor staff, and ensure projects are planned, budgeted, executed, and completed to meet client expectations.

Lead development and implementation of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.

Leads data analytics projects that generate insights for strategic decision-making. Develops visualization solutions with Power BI and Tableau, builds data pipelines, applies statistical modeling and predictive analytics, and manages data integrity and security. Collaborates with clients on tailored data solutions while coaching analytical teams, managing accounts, overseeing project success, and identifying business opportunities.

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Manages analytics and reporting teams supporting financial and operational decisions. Oversees reporting consistency, process improvement, automation, data interpretation, quality initiatives, and strategic executive reporting. Leads team training, collaborates with departmental leaders, and partners with account teams to deliver client recommendations. Requires healthcare operations and claims-data expertise, supervisory experience, and proficiency with Excel, Access, VBA, Crystal Reports, T-SQL, SSMS, and SSRS.

Owns and maintains organizing data systems, voter-contact tools, and organizational databases. Ensures data integrity through quality assurance, audits, standardized processes, documentation, and permission management. Supports organizers by troubleshooting tools, managing data requests, providing training, and improving workflows. Writes SQL queries in BigQuery, develops reports and visualizations, supports integrations, and collaborates with engineering and analytics teams on data models and priorities.

Manage and maintain healthcare data assets, including medical and pharmacy claims, analytical datasets, integrations, metadata, and data quality processes. Build and validate complex SQL queries, coordinate with data suppliers and engineering teams, translate business requirements into data solutions, and support analytics, governance, documentation, and process improvement initiatives.

Leads enterprise data-quality governance for the War Data Platform, establishing standards, automated controls, monitoring, compliance reviews, and audit readiness. Directs a cross-functional quality team, investigates root causes, manages remediation, oversees contractor and vendor performance, and coordinates with engineering, cybersecurity, acquisition, senior leadership, and oversight organizations. The role ensures mission-critical datasets are accurate, reliable, available, traceable, and suitable for analytics and AI applications.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

The Senior Data Manager oversees configuration control, data management, deficiency reporting, requirements and document management, change control, baseline management, and full data lifecycle processes. The role develops data architectures, policies, and procedures; validates, protects, processes, and delivers enterprise data; and documents data flows, business rules, dependencies, and support procedures. It requires Python, SSIS, SQL, Databricks, relational database, and complex dataset experience in a remote environment.

Lead advanced analytics initiatives by analyzing structured and unstructured customer data, developing statistical insights, dashboards, reports, and data-driven recommendations. Partner with cross-functional teams and organizational leaders to guide prioritization and improve customer experiences. The role requires experience with SQL, Python or R, Tableau or Power BI, big data platforms, and analytical storytelling. Experience with digital interaction data, AI, generative AI, and automation is preferred.

Manages debris-monitoring data, ticket reconciliation, quality assurance, reporting, documentation, and invoice discrepancy review. Tracks reconciled, unreconciled, and voided load tickets; coordinates with hauling contractors and clients; maintains project records; prepares payment recommendations and closeout documentation. The role requires exceptional Microsoft Excel skills, debris-monitoring knowledge, accurate data analysis, strong communication, and the ability to work extended hours in demanding response conditions.

Leads advanced analytics for Mattel’s direct-to-consumer ecommerce business, including statistical modeling, experimentation, performance measurement, predictive analysis, SQL-based data work, dashboard development, and data storytelling. Partners with engineering, product, marketing, merchandising, and technology teams to improve data architecture and decision-making. Mentors analysts, establishes analytics best practices, and supports consumer behavior, marketing effectiveness, and ecommerce growth initiatives.

Leads an analytics team delivering actionable insights, dashboards, recommendations, and decision support for executives, business partners, and clients. Responsibilities include analytical project leadership, stakeholder prioritization, team coaching, quality governance, data modeling, Power BI and Fabric modernization, reporting automation, and executive storytelling. The role also establishes scalable analytics practices, improves data reliability and self-service adoption, and develops analysts through mentoring and performance management.

Lead a team of data engineers responsible for building and operating reliable, scalable data pipelines and platform components. Own delivery, production operations, engineering standards, cost and performance optimization, technical debt, and regulatory compliance. Partner with product and data modeling leaders to deliver a governed data platform. Hire, coach, and develop engineers while ensuring strong practices in testing, monitoring, incident response, CI/CD, documentation, and secure infrastructure management.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

Leads the development and operationalization of governed clinical and multi-omics data products for neuroscience research. Designs scalable data models, optimizes Nextflow pipelines across AWS S3, Snowflake, and TileDB, standardizes assay outputs, embeds FAIR principles and compliance, and delivers AI-ready datasets. Partners with architects, governance teams, AI/ML specialists, and data scientists while mentoring engineers and driving workflow standardization, quality, reproducibility, and pipeline optimization.

Leads the architecture and implementation of Nokia’s scalable data platforms for photonic integrated circuit operations. Responsibilities include developing lakehouse and warehouse solutions, data models, batch and streaming pipelines, data quality and observability frameworks, CI/CD and DataOps practices, governance, security, and AI-ready data foundations. The role also leads and mentors product engineering teams, enables secure self-service analytics, and drives enterprise data excellence and innovation.

Leads data analysts, engineers, and scientists while overseeing analytics projects, resource allocation, governance, and delivery. Translates business priorities into scalable data strategies, advises senior leadership, and drives organization-wide data initiatives. Provides hands-on technical guidance across Python, AWS, Snowflake, dbt, AI-assisted engineering, data integration, and CI/CD. Establishes best practices for data quality, privacy, performance measurement, and continuous improvement while mentoring managers and technical teams.