Top Data Management Jobs in Milwaukee, WI

Lead managed data and analytics engagements to build modern data ecosystems and convert insights into strategic opportunities. Manage client accounts and project delivery, mentor and develop staff, uphold quality standards, implement data strategies, manage risks and issues, and foster high-performing, collaborative teams.

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

Lead development and execution of data-driven strategies, manage project timelines and team performance, analyze complex datasets to derive insights, implement data governance and cloud data architectures, and mentor/coach team members to deliver high-quality client solutions.

Lead design and delivery of data architectures and pipelines, using AWS/Redshift, DataStage/ETL, and BI tools to produce actionable insights. Coach and direct teams, engage stakeholders, apply systems thinking, validate client outcomes, and manage managed-services SLAs to optimize business performance.

Lead design and implementation of data architecture, data models, ETL/ELT pipelines, and data warehouses/lakes. Ensure data governance, security, and quality; mentor team members; partner with stakeholders to translate business requirements into scalable cloud data solutions.

Lead and manage data engineering engagements to design, build, and maintain ETL/ELT pipelines and data architectures. Deliver analytics and BI solutions using cloud platforms and tools, mentor teams, manage client relationships, ensure project delivery, and promote adoption of new technologies and best practices to drive data-driven decision-making and performance improvements.

Lead design and implementation of data architecture and pipelines, manage large-scale projects, ensure data governance and security compliance, translate business requirements into technical solutions, advise clients strategically, and coach and grow diverse high-performing teams.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

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

Lead development and execution of data-driven strategies, manage and mentor a data analytics team, oversee project planning and delivery, analyze complex datasets to produce actionable insights, implement cloud data architectures, and support data governance and continuous improvement.

Lead design and delivery of cloud-based data architecture, data models, ETL/ELT pipelines, data warehouses/lakes, and data security. Manage projects, mentor team members, ensure governance compliance, collaborate with stakeholders, and optimize cloud infrastructure for performance, cost, and scalability.

Lead design and implementation of data architecture and cloud-based data engineering solutions. Manage large projects, translate stakeholder requirements into technical designs, ensure data governance and security, develop data models and pipelines, advise clients strategically, and coach teams to deliver operational excellence.

Lead and scale enterprise data governance operations: manage the data domain model and business glossary, run governance council operations, enforce data policies and compliance (SOC 2, GDPR/CCPA), drive catalog adoption and data literacy, and measure governance maturity and ROI through dashboards and remediation workflows.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

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.

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.

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.

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.

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.

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.