Top Data Management Jobs in Milwaukee, WI

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

Design, build, and test SAP MDM repositories and logical data models. Configure MDM clients (Console, Data Manager, Import Manager, Syndication Manager), create import/syndication maps, workflows, web services, DB views, and INI files. Perform repository operations with CLIX, prepare unit tests, validate integrations with upstream/downstream systems, and coordinate with data providers and consumers.

Design, build and maintain SAP MDM repositories and logical data models. Create functional and technical specs, configure MDM clients (console, data/import/syndication managers), web services, CLIX server ops, import/syndication maps, workflows, matching rules, DB views and INI files. Perform unit testing, validation and liaison with data providers.

Implement and configure SAP MDM repositories and clients; design functional/technical specs, import/syndication maps, workflows, web services, CLIX operations, DB views, and test interfaces between MDM and upstream/downstream systems.

Design, build, and validate SAP MDM repositories and logical data models. Configure MDM clients (console, data manager, import/syndication managers), create import/syndication maps, workflows, matching rules, and DB views; perform CLIX and server-level operations, INI configuration, and interface testing. Liaise with data providers, subscribers, and downstream systems and lead the team.

Implement and maintain SAP MDM repositories and mappings. Design functional/technical specs, configure MDM clients (Console, Data Manager, Import/Syndication Manager), create import/syndication maps, web services, DB views and INI configurations. Develop workflows, matching rules, validations, CLIX server ops, unit tests, and test interfaces with upstream/downstream systems. Collaborate with data providers and cross-functional teams.

Implement and maintain SAP MDM repositories and logical data models; design functional/technical specs; build import/syndication maps; configure MDM clients and web services; develop workflows, matching rules, validations, and DB views; use CLIX for server/repository operations; test/unit-test repositories and interfaces; collaborate with data providers and consumers across business units.

Design, build, and validate SAP MDM repositories and logical data models. Create functional/technical specs, import and syndication maps, configure MDM clients and web services, perform repository/CLIX operations, implement workflows, matching rules, validations, and DB views, prepare unit tests, and collaborate with data providers and business stakeholders while leading and motivating the team.

Design, build, and validate SAP MDM repositories and logical data models; create import and syndication maps; configure MDM clients, web services, CLIX operations, DB views and INI files; design workflows, matching rules, validations, and unit tests; liaise with data providers and lead/Mentor team activities.

Implement and configure SAP MDM solutions: create repositories and import/syndication maps, design functional/technical specs, configure MDM clients and web services, build workflows, matching rules, validations, and data manager operations to support master data processes.

Lead design and implementation of SAP MDM repositories and data models; configure MDM clients, import/syndication maps, workflows, web services and CLIX operations; develop and test integrations with upstream/downstream systems; produce technical specifications and unit tests; coordinate with data providers and stakeholders.

Design, build, and test SAP MDM repositories and logical data models. Configure MDM clients (Console, Data Manager, Import/Syndication Managers), create import/syndication maps, web services, workflows, matching rules, and DB views. Perform CLIX and server/repository operations, configure INI files, prepare unit tests, validate repositories, and coordinate with data providers and consumers.

Design, build, test and maintain SAP MDM repositories, import/syndication maps, workflows and web services. Perform data modeling, repository and server operations (CLIX), unit testing, and validate interfaces with upstream/downstream systems while coordinating with data providers and stakeholders.

Design, build, and test SAP MDM repositories and logical data models; configure MDM thick clients, import/syndication maps, web services, INI files and DB views; develop workflows, matching rules and validations; perform CLIX server/repository operations; create unit tests and validate interfaces with upstream/downstream systems; liaise with data providers and stakeholders.

Implement and configure SAP MDM repositories, design functional/technical specs, build import/syndication maps and web services, manage MDM clients and CLIX operations, design workflows and matching rules, create DB views and INI configurations, and validate/test MDM solutions while collaborating with stakeholders.

Implement and maintain SAP MDM repositories and logical data models; produce functional and technical design specs; configure MDM clients, import/syndication maps, web services and INI files; perform CLIX and DB view operations; design workflows, matching rules and validations; prepare unit tests; validate repositories; test interfaces with upstream/downstream systems; liaise with data providers and lead the team.

Lead and grow a data platform engineering team to build and maintain a petabyte-scale data lake and infrastructure. Drive platform roadmap, scale systems globally, collaborate cross-functionally, and embed best practices for security, privacy, and AI transformation.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

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.

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.

Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.

Lead and manage delivery of modern data ecosystems and managed data analytics programs. Oversee project planning, budgeting, quality, and client accounts. Mentor teams, drive data strategy, convert insights to business opportunities, and ensure standards and risk management across large transformations.