Top Remote Senior Level Jobs in Des Moines, IA

Owns day-to-day execution, roadmap management, performance tracking, reporting, stakeholder coordination, and continuous improvement for Cohere Health’s speech therapy program. The role manages cross-functional initiatives, monitors clinical and operational metrics, partners with analytics, supports client engagements, identifies process gaps, and escalates risks. Candidates need healthcare program management experience, strong analytical and communication skills, and familiarity with utilization management, payer operations, and value-based care.

Designs and supports hybrid cloud networking infrastructure across Azure environments, including hub-and-spoke, Virtual WAN, VPN, ExpressRoute, routing, and DNS. Leads infrastructure automation, Infrastructure as Code, CI/CD, observability, governance, and security initiatives. Troubleshoots complex infrastructure issues, develops architecture standards, documents solutions, mentors engineers, conducts code reviews, and partners with technical and business stakeholders. Participates in on-call rotations and occasional after-hours deployments.

Build and grow HiBob’s North America partner ecosystem through acquisition, engagement, enablement, and co-marketing programs. Develop full-funnel campaigns with consultants, brokers, accountants, and other partners to generate leads and pipeline. Manage strategy, budgets, timelines, stakeholder coordination, execution, performance measurement, and optimization while aligning Partner Managers, Sales, and Marketing teams.

Leads the design and implementation of data analytics solutions supporting internal audit execution, continuous auditing, risk assessments, automated testing, and reporting. Partners with audit teams and data owners to improve data quality and accessibility, develops dashboards and monitoring tools, identifies risks and control weaknesses, and contributes to Internal Audit’s analytics strategy and automation framework.

Leads high-impact business operations initiatives, builds scalable processes and systems, analyzes complex data, partners with Product, Data, and Operations leaders, manages cross-functional execution, mentors team members, and builds a growing operations team to deliver measurable business results.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Leads a software engineering team responsible for designing, developing, operating, and reliably delivering core cloud-scale SailPoint products. Owns technical direction, architecture reviews, code quality, sprint execution, resource allocation, risk mitigation, and delivery metrics. Partners with Product Management and architecture leaders on roadmaps, coaches engineers, drives operational excellence, and promotes AI-assisted development. The team uses AWS, event-driven microservices, and distributed systems to build enterprise-grade identity security products.