Top Remote Senior Level Jobs in Tulsa, OK

The Data Scientist will transform real-world, clinical, and preclinical healthcare data into reproducible datasets, analyses, and evidence supporting medical-device research and regulatory needs. Responsibilities include cohort development, data-quality validation, statistical programming, study design support, analysis plans, clinical and post-market analyses, documentation, and communicating findings to technical and nontechnical stakeholders. The role collaborates with Scientific, Clinical, R&D, Regulatory, Quality, IT, and external data partners.

Own and evolve production infrastructure for AI workloads, including Kubernetes, cloud-native migrations, scheduling, orchestration, observability, infrastructure as code, deployment workflows, security, reliability, and incident recovery. Partner with engineering and business operations teams to build dependable platform capabilities. The role requires deep production Kubernetes experience, strong cloud and Linux fundamentals, architectural judgment, automation skills, and end-to-end ownership of infrastructure systems.

Lead FP&A activities focused on gross margin, profitability, budgeting, forecasting, unit economics, customer and contract analysis, pricing, and executive reporting. Build financial models, identify margin improvement opportunities, evaluate care model economics, and partner with Operations, Clinical, Supply Chain, and the Controller. Own reporting, scenario analysis, board materials, and contribute to pricing, contract, and go-to-market decisions.

Manage high-value CTV and digital advertising clients as the primary contact, overseeing onboarding, campaign execution, performance reporting, retention, and satisfaction. Provide analytical insights, strategic recommendations, troubleshooting, and upsell or cross-sell support. Partner with Sales and internal teams, identify account risks and opportunities, present campaign results, advise on emerging AdTech trends, and mentor other Account Managers.

Owns and strengthens the security posture of cloud-based SaaS and Microsoft 365 environments. Responsibilities include vulnerability management, incident response, cloud and endpoint hardening, identity and data protection, secure configuration, monitoring, compliance evidence, customer security reviews, and risk management aligned with HITRUST, HIPAA, NIST, and related frameworks.

Leads strategic partnerships, market expansion, positioning, demand generation, and corporate development for Qsight. Responsibilities include sourcing and closing commercial partnerships, evaluating new markets and customer segments, building market and competitive models, developing go-to-market strategies, shaping brand positioning, and preparing board- and investor-grade analysis. The role partners directly with executive leadership and may eventually build a team.

Plans, initiates, and manages enterprise IT projects involving payments and core platform architecture. Leads technical staff, coordinates business and technical teams, develops project plans, manages execution, assesses risks, and oversees Agile delivery, roadmaps, backlogs, and the software development lifecycle.

Build Nitra Business Banking backend infrastructure, including account opening, payments, ledgers, transaction processing, reconciliation, APIs, and financial integrations. Design reliable money movement across ACH, wires, RTP, and FedNow while ensuring auditability and financial correctness. Partner with sponsor banks and processors, make architecture decisions, document systems, identify risks, and mentor engineers. The role also integrates banking capabilities with cards, BillPay, expense management, accounting, and healthcare payment products.

Provides strategic and technical leadership for advanced credit-risk data science. Owns the multi-year modeling roadmap and independently develops, implements, validates, monitors, and improves machine learning models for credit acquisition, underwriting, portfolio management, and customer risk. Applies advanced statistical and ML techniques, conducts fair-lending and explainability analyses, researches emerging methods, and communicates modeling strategy and results to executive and cross-functional stakeholders.

Own technical relationships with enterprise accounts from onboarding through implementation, adoption, troubleshooting, renewals, and expansion. Lead integrations, diagnose data pipeline and connectivity issues, communicate effectively with technical and executive stakeholders, identify risks early, and coordinate with engineering, support, customer success, and sales. Mentor other solutions architects while maintaining customer trust and delivery ownership.