Top Remote Jobs in Tulsa, OK

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Lead end-to-end Salesforce Field Service architecture and implementations, design API-driven integrations with ERPs and middleware, govern technical standards and DevOps, drive pre-sales solutioning, advise on operating models and AI-readiness, mentor distributed teams, resolve escalations, and develop reusable accelerators to ensure scalable, long-term technical delivery.

Sell and service branded optical laboratory products to private practice accounts. Manage existing relationships, develop new prospects, educate doctors and staff on lens products and industry trends, create account business plans, deliver presentations, coordinate customer needs with internal teams, analyze market data, and track sales activity and account growth. The role requires extensive territory travel, outside sales experience, strong communication skills, and a clean driving record.

Lead and coordinate a strategic portfolio of related programs and projects within an enterprise pillar. Provide direction to program/project managers, manage costs, schedules, risks, budgets and ROI, implement governance and change management, communicate with senior stakeholders, develop portfolio processes, and deliver executive-level presentations to ensure program success.

Designs, develops, tests, and supports Java-based cloud-native applications on Google Cloud Platform. Builds REST APIs, integrates AI services, applies secure coding practices, contributes to CI/CD and deployment automation, and implements observability through logging, metrics, dashboards, and alerts. Troubleshoots production issues, performs root-cause analysis, participates in architecture discussions and code reviews, collaborates across engineering and business teams, and mentors junior developers.

Designs and governs scalable, secure, cost-effective Google Cloud solutions across enterprise IT environments. Leads cloud adoption, develops standards and roadmaps, integrates GCP with on-premise and third-party platforms, applies AI and automation, supports high-priority troubleshooting, manages vendors, and communicates architecture decisions to technical and executive stakeholders. Provides training and ensures compliance with enterprise security and technology standards.

Designs, develops, and operates Java-based cloud-native applications on GCP. Builds RESTful APIs, AI-enabled capabilities, secure services, CI/CD pipelines, infrastructure-as-code, and observability practices. Troubleshoots production issues, performs root-cause analysis, supports compliance and secure engineering standards, and collaborates with DevOps, QA, product management, and security teams. Participates in architecture reviews, code reviews, technical documentation, and shared engineering standards.

Support end-to-end contract lifecycle administration: execute contracts, renewals, and addendums; review and validate contract data, pricing, and terms; coordinate with Sales, Customer Success, and Finance; maintain accurate records, perform audits, and drive process improvements to ensure revenue and data integrity.

Lead Workday data migration: design conversion strategy, analyze and cleanse legacy data, execute loads via EIBs and conversion tools, validate data, and collaborate with functional teams to resolve discrepancies.

Lead organizational change efforts for Workday deployments, develop and execute change management and training strategies, manage stakeholder engagement and communications, measure adoption, and support organizational readiness activities.

Lead and support Workday Financials implementations (GL, AP, AR, Assets, Accounting Center). Configure finance structures, processes, and security; support integrations, testing, training, and post-go-live optimization; analyze workflows and recommend best practices.

Participate in a remote, 10-minute audio interview moderated by AI. Respond verbally to automated prompts and share honest opinions about conversational AI and digital experiences. Participants need clear conversational communication, a reliable microphone, and a quiet environment. No technical background or preparation is required.

Leads enterprise data operations and issue management for certified data products. Responsibilities include issue intake, triage, escalation, SLA monitoring, incident resolution, operational governance, risk reporting, and remediation tracking. Partners with data engineering, data quality, analytics, business, vendor, and technology teams to resolve pipeline failures, production incidents, and quality issues. Produces dashboards, leads operational reviews, and drives automation and continuous improvement across data operations.

Leads enterprise strategy, development, and adoption of applied AI, data science, and commercial intelligence capabilities. Oversees multidisciplinary teams, AI-powered products, scalable data and AI platforms, governance, model lifecycle management, and responsible AI practices. Partners with commercial and technology leaders to prioritize use cases, drive measurable ROI, build talent, and accelerate business growth, customer engagement, operational efficiency, and data-driven decision-making across a regulated, life sciences environment.

Leads enterprise semantic and knowledge engineering for NovaOS, including ontologies, taxonomies, knowledge graphs, semantic models, metadata standards, and governance. Partners with AI, data science, product, and engineering teams to enable AI reasoning, RAG, search, analytics, interoperability, and enterprise intelligence. Evaluates semantic technologies, establishes quality controls, and mentors semantic and knowledge engineering teams.

Lead full-funnel consumer engagement campaigns across digital and offline channels, from outreach through re-engagement. Develop messaging, align clients, support product launches, forecast performance, and optimize campaigns through testing and analysis. Manage client relationships, timelines, and campaign execution while ensuring pre-send quality and compliance. Use performance data to deliver reports, identify growth opportunities, and collaborate with business intelligence teams on dashboards and visualizations.

Partner with division leadership to support budgeting, forecasting, variance analysis, and financial modeling. Prepare accruals, cost-benefit analyses, and regular financial reports, communicate results to leadership, and identify process improvements while maintaining financial controls.

Implement, configure, and manage Saviynt IGA solutions including workflows, access policies, RBAC/ABAC, identity lifecycle (onboarding/offboarding), integrations via REST/SOAP, compliance, SSO/MFA/auth protocols, cloud integrations, monitoring, troubleshooting, and documentation while collaborating with security teams.

Seeking an experienced (10-12 yrs) SAP MM/OER specialist for device lifecycle management and production support. Role includes customizing SAP MM and OTC, architecting and configuring SAP OER tables and data objects for mobile operations, integrating MM/OTC with OER, and performing data mining, extraction and migration from SAP OER to an Oracle platform.

Manage and optimize ERP environments and multi-module integrations, evaluate and apply software releases, perform advanced SQL/database troubleshooting, identify system improvements, and serve as Salesforce Data Cloud admin handling data integration, modeling, quality, governance, and deployments while training and supporting users.