Top Data Management Jobs in Milwaukee, WI

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.

Manages corporate real estate spatial data, CAD drawings, CAFM systems, space allocation models, reporting, data governance, and system administration. Supports project management, occupancy planning, and move management by maintaining accurate as-built drawings, monitoring space data, establishing global standards, coordinating system integrations, training users, and recommending process improvements. Requires expertise in CAD/CAFM, drafting, space planning, and corporate real estate data management.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Leads a team of data engineers responsible for building and scaling Niche’s data platform. Oversees data pipelines, warehouse layers, platform reliability, data quality, monitoring, and engineering best practices. Manages roadmap execution, Agile rituals, cross-functional collaboration, hiring, mentoring, and career development. The role also drives process improvements, operational excellence, scalability, and delivery of secure, observable data solutions supporting analytics, reporting, content, and operational systems.

Leads customer data engineering strategy, delivery, team development, and roadmapping. Oversees data-driven product improvements, digital programs, quality initiatives, budgets, cybersecurity remediation, and portfolio management. Manages, mentors, and grows data engineering teams, including contractor teams, while guiding customer data platforms, omnichannel identity resolution, complex data modeling, and personalization-focused data science capabilities. Partners across the organization to execute strategic initiatives and build team capability.

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.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

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 enterprise analytics strategy, data integration, governance, reporting, dashboards, forecasting, and advanced business analysis. Manages analysts and partners with Sales, Pricing, Finance, Product Management, Operations, and executive leadership to translate complex data into actionable recommendations. Oversees Power BI dashboards, KPI frameworks, data quality, predictive modeling, and reporting automation to improve growth, profitability, pricing, and operational performance.

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

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.

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.

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.

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.