Top Remote Senior Level Jobs in Tucson, AZ

Lead analytics strategy and delivery for healthcare clients: gather reporting requirements, design and build enterprise data platforms (Databricks/lakehouse), develop and validate reports (including Epic reporting), influence decentralized data teams, and provide post-implementation support and modernization.

Lead analytics and data-product initiatives for healthcare clients: gather reporting requirements, design and develop reports/products, test and validate, provide post-implementation support, and partner with stakeholders to drive adoption and measurable value.

Provide senior-level ownership for AWS cloud platform operations, automation, and reliability. Support infrastructure provisioning, EKS/Kubernetes operations, EC2/AMI lifecycle, observability, incident response, patching, cost optimization, CI/CD automation, documentation, runbooks, and mentoring. Participate in on-call rotation, incident handling, and cross-team collaboration to ensure secure, scalable cloud operations.

Senior BI Data Researcher will lead research and engineering across modern data systems: big data management, data cleaning, quality, metadata, search/discovery, information extraction, time-series and heterogeneous analytics, applied AI/ML, distributed processing, and query/storage optimization. Collaborates with research teams to build scalable tooling, ML models across diverse modalities (tabular, time series, text, audio, video), and edge-enabled architectures.

Lead domain architecture for Blue Yonder/JDA solutions, translating business needs into technical roadmaps, high-level designs, integrations, and standards. Collaborate with stakeholders, enterprise architecture, partners, and development teams to ensure secure, scalable, and compliant implementations across the domain.

Lead design assurance as the quality SME on cross-functional NPD teams. Integrate quality requirements across the product lifecycle, drive DFMEA/PFMEA and risk management, create design/control plans, verification/validation strategies, ensure traceability, support design transfer with Manufacturing/Supplier Quality, and monitor quality metrics through pilot and launch phases.

Lead end-to-end global payroll processing (US multi-state and international), own payroll tax withholdings/filings and registrations, manage payroll audits and notices, partner with People Ops/Benefits/Accounting, and improve payroll processes and systems (ADP and international payroll platforms).

Sell Numerator's market intelligence solutions to enterprise CPG clients. Prospect and expand accounts, manage full sales cycle, build executive relationships, uncover client needs, demonstrate product value, negotiate and close contracts, and collaborate with account management and solutions teams.

Partner with Customer Success Managers to ensure technical success of strategic IoT accounts: analyze customer architectures, drive optimizations and expansions, lead technical discovery/demos, troubleshoot complex connectivity issues, and translate technical recommendations into business outcomes while feeding product and engineering insights back into the company.

Operate as the sales operations backbone for US and EU/UK teams: administer and optimize Salesforce, build multi-region dashboards in Looker/Superset, standardize/adapt sales workflows, drive kaizen improvements, coordinate async via Slack, and translate multi-currency pipeline data into actionable insights for leadership.

Lead and manage multiple large federal infrastructure projects, driving schedules, budgets, risk management, resource allocation, and stakeholder communication. Oversee technical domains (networking, storage, virtualization, cloud, security), ensure profitable delivery, enforce quality and change management, and produce clear financial and progress reporting.

Lead product direction for vMetal, defining specs and tradeoffs, validating alpha/beta builds on bare metal, engaging platform-engineer customers, positioning the product in the GPU/bare-metal ecosystem, and aligning engineering, sales, and GTM teams.

Lead product direction for cloud-native GPU infrastructure and Kubernetes virtualization. Translate business priorities into technical specs, run alpha/beta validations, engage platform-engineer customers, define market positioning, and align engineering, sales, and marketing to ship and support scalable multi-tenant GPU platforms.

Lead post-sale relationships for enterprise customers: onboard, enable, and drive measurable value to ensure renewal and expansion. Partner with Sales, Product, and Engineering to run CORs, support pre-sales/POCs, and translate business objectives into technical outcomes while advocating customer needs internally.