Top Data Management Jobs in Milwaukee, WI

Lead stewardship of Pharma R&D data, ensuring data quality and compliance, mentor teams, and collaborate with governance and data product teams for best practices.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

The GTM Data Manager oversees data integration, quality assurance, and analysis to support revenue operations and strategic GTM planning.

The Director of Data Services & Analytics oversees ConnectWise's data ecosystem, including advanced analytics and AI/ML initiatives, while aligning data strategy with business goals and building a high-performing team.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

Oversee risk data governance and reporting, ensuring accuracy of metrics and aligning with data standards. Lead improvements and enhance data integrity.

The Environmental Data Manager will oversee environmental data management, including ETL operations, data validation, and compliance for environmental projects. Responsibilities include data entry and interactions with various personnel to ensure data quality and regulatory adherence.

The role involves leading enterprise reporting and analytics by driving alignment, managing data flows, delivering predictive insights, and assessing business needs for strategic decisions.

The Fundraising Data Manager will manage data processing for clients, develop custom SQL scripts, create reports, and manage client CRM.

The Risk Manager will lead risk strategies for product initiatives, analyze behavior and performance data, and collaborate across teams to integrate risk into product lifecycles.

As a Senior Manager, you'll oversee the enterprise data ecosystem, manage data governance, and drive advanced analytics strategies to maximize data value.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

The Sr. Data Engineering Manager leads data management strategy focusing on AWS solutions, ensuring data governance and quality across various domains while managing a team.

Responsible for securing and maintaining data partnerships, optimizing portfolios, analyzing financial data, and collaborating with product and sales teams.

The Manager, Data Migration will oversee data collection, migration planning, and work with engineers on data translation and operations, while building a data migration team.

The FP&A Manager will lead budgeting, forecasting, and implement AI-driven automation to enhance finance processes in a retail environment.

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

As a Data Manager, you will oversee data management for clinical trials, ensuring quality outcomes, designing data capture tools, and collaborating on product development.

Lead the Data Protection program at Netflix, focusing on data classification, retention, compliance, team development, and cross-functional collaboration to enhance data privacy and protect consumer data.

The Manager of Data Quality will lead and mentor the Systems Acceleration & Data Quality team, overseeing data integrity and driving quality initiatives using AI and machine learning tools. Responsibilities include strategic partner collaboration, maintaining data quality trends, and managing vendor relations.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.