Top Data Management Jobs in Milwaukee, WI

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.

Manage and improve corporate giving data systems: build and maintain Tableau/Excel dashboards, respond to ad hoc data requests, clean and govern community data, administer Bonterra/CyberGrants, and lead project management for giving programs and strategic initiatives while partnering with enterprise stakeholders.

Leads enterprise business intelligence and analytics strategy, owning the vision, roadmap, KPIs, and adoption measures for insight products. Manages data engineering and analytics teams, partners with senior leaders, translates business questions into analytical solutions, and delivers executive-ready insights. Provides technical oversight for data models, pipelines, semantic layers, data quality, scalability, and metric standardization across transformation, sales, operations, sustainability, and other enterprise domains.

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.

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.

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.

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 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.

Develop statistical, machine learning, and deep learning models to measure the impact of pharmaceutical HCP, DTC, and Medical Affairs campaigns. Partner with internal and external clients, provide analytical insights and methodological guidance, consult with sales and market research teams, and coach an offshore analytics team. The role requires applying causal inference, healthcare and pharmaceutical data expertise, and clear communication of findings to clients and executives.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

Leads and develops a team of Conversion Data Analysts, owning workload prioritization, delivery quality, and performance outcomes. Uses KPIs and data to identify risks, guide decisions, and improve high-volume conversion workflows. Partners with project management, Engineering, Product, Support, and leadership to ensure accurate data mapping and successful customer onboarding. Requires people leadership, SQL, Excel, data validation, CRM, and conversion tooling experience.

Supports reporting, data analysis, dashboard development, data collection, quality assurance, and data warehousing initiatives. Cleans and analyzes data, generates actionable insights, communicates findings to nontechnical stakeholders, responds to data requests, and partners with KIPP program teams. The role also contributes to network events, team operations, and equity-focused culture development.

Manages the enterprise Data Governance and Analytics Center of Excellence, leading staff, governance initiatives, analytics strategy, maturity modeling, budgets, vendors, and planning. Coordinates data quality, stewardship, privacy, acquisition, and release programs while partnering with data scientists, engineers, technology governance teams, and business stakeholders. Develops executive presentations, aligns enterprise definitions and algorithms, establishes standards, and ensures analytics projects and business cases meet organizational objectives and deadlines.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.