Top Remote Jobs in Milwaukee, WI

Design, build, and maintain scalable backend services in Elixir/Phoenix. Develop high-availability APIs, distributed systems, data pipelines, and background job processing. Collaborate with AI and product teams, improve observability and reliability, influence architecture, establish testing and delivery best practices, and mentor engineers.

The Client Support Coordinator processes client employee benefits changes, manages data entry, and provides general administrative support for the Client Services department.

Lead a newly unified sales organization to drive growth and market leadership in Transportation Management Systems, managing complex sales deals and processes.

The Global Controller oversees financial operations, reporting, compliance, and treasury management, ensuring accurate financial practices within a high-growth advertising platform company.

Join Raftelis Talent Network to be considered for future opportunities in management consulting, focusing on finance, technology, and strategic planning.

Own pre-sales technical strategy for Torq in Brazil: lead Sales Engineering, support sales with demos and technical guidance, drive CRM/process adoption, represent product at events, collaborate with product teams for enhancements, and help close Fortune 1000 deals.

The Regional Sales Manager will sell Torq's security solutions, develop account strategies, and collaborate with cross-functional teams to drive growth.

The Regional Sales Manager will sell security automation products, build strategic relationships, and achieve sales targets in Mexico.

As a Director in the Data & Analytics team, you will lead client engagements, manage projects, develop strategies, create proposals, and mentor team members in data-driven initiatives.

Lead hands-on digital asset accounting engagements, rebuild or remediate books and reconciliations, drive audit- and transaction-readiness (IPO/SEC), coordinate across clients and auditors, implement finance/process improvements, mentor staff, and support business development.

Manage client-facing data and analytics projects: define data strategy, build automation and ETL, develop visualizations and predictive analytics, drive transformation, manage scope/budget, and communicate findings to non-technical stakeholders while leveraging finance knowledge.

Lead identification, assessment, and remediation of technology and AI-related risks across systems, platforms, and third parties. Execute RCSAs and control testing, support audits and regulatory exams, analyze security telemetry to identify trends, and present executive-level risk reporting. Partner with technology and business leaders, improve risk frameworks, mentor analysts, and advise on emerging threats and control enhancements.

Develop, implement, and maintain ALM and CCAR/PPNR models for balance sheet forecasting. Build customer behavior, prepayment, and deposit models; monitor performance, perform backtesting and sensitivity analysis; collaborate with Model Risk, Market Risk, Treasury, and validation teams; prepare documentation and materials for governance and senior leadership; support balance sheet optimization and regulatory initiatives.

Lead architecture and delivery for accounting and finance platforms, define standards and best practices, manage a pod backlog, translate business needs into technical solutions, ensure alignment with enterprise architecture and regulatory requirements, collaborate with stakeholders and vendors, and drive implementations across Oracle E-Business Suite and adjacent systems within an Agile pod.

As a Customer Support Analyst, you'll assist clients with technical issues, provide support, and improve usage of Mews solutions, ensuring customer satisfaction in a global environment.

Lead and grow engineering teams for Mews' Front of House products, partnering with Product, Design, and Data to deliver guest recognition, personalization, automation, and connected guest journeys. Set technical direction, improve engineering excellence and operational health, drive cross-tribe collaboration, coach leaders, and translate strategy into measurable business outcomes like increased guest engagement and reduced time-to-serve.

The Director of Data Science will lead data-driven initiatives for autonomous vehicle services, overseeing ML evaluations, analytics, and strategic data science objectives. They will manage a team, collaborate with engineering and operations, and ensure high standards in data measurement and experimentation.