Top Remote Senior Level Jobs in Las Vegas, NV

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Supports the CEO and CFO through complex calendar, email, meeting, travel, communication, and executive coordination management. Prepares agendas, pre-reads, meeting logistics, documentation, notes, decisions, and follow-ups. Uses AI-enabled tools, automation, and integrated workflows to organize information, reduce administrative friction, improve retrieval, and maintain executive context. Handles confidential information, coordinates leadership, board, investor, and company meetings, and builds strong cross-functional relationships.

Lead the architecture and migration of Rula’s data platform to Snowflake and Medallion architectures. Govern warehouse performance and cloud costs, establish data contracts and intake guardrails, and enforce GitHub-based CI/CD testing for data quality and query performance. Scale AI-assisted engineering practices across teams while partnering with executives and domain engineers. The role also supports secure clinical data handling, schema evolution, semantic BI integrations, and production ELT pipeline development.

Lead end-to-end qualitative, quantitative, and mixed-methods UX research focused on patient acquisition, onboarding, booking, and initial care experiences. Frame ambiguous product questions, identify opportunities, synthesize behavioral and research data, and influence Product, Design, Data/Analytics, and Marketing decisions. Own a product area and research program while translating patient insights into measurable improvements in trust, confidence, conversion, and overall experience.

Guide growth strategy through financial analysis of complex deals, pricing, contract economics, and strategic forecasting. Partner with Sales, Marketing, and Revenue Operations to evaluate trade-offs, translate financial data into actionable insights, and support executive decision-making. This individual contributor role requires navigating ambiguity and balancing short-term efficiency with long-term business impact in a fast-growing healthcare company.

Analyze observability, digital experience, and business analytics data for enterprise clients to improve website performance and user engagement. Manage relationships with 4–8 clients, conduct ad hoc analyses, configure Dynatrace solutions, create reports and dashboards, present findings to technical and executive audiences, provide training, and influence product roadmap decisions. The role combines advanced data analysis, strategic consulting, customer account management, and executive communication.

Lead strategy, administration, and optimization of AI tools for the SDR organization (Qualified, Gong, Microsoft Co‑Pilot). Identify AI use cases, build implementation roadmaps, define requirements and success metrics, manage pilots and vendors, monitor adoption and impact, maintain governance and documentation, and partner cross-functionally to improve SDR productivity, lead conversion, and pipeline generation.

Design, build, and manage scalable AWS infrastructure; optimize GitHub-centric CI/CD; implement observability stacks; automate compliance for GovRAMP/FedRAMP and SOC2; author audit-ready documentation and runbooks; collaborate with engineering and security teams to ensure high availability and reliability.

Own the global quote-to-contract cycle, including deal reviews, approvals, structuring, and CPQ configuration. Partner with Sales, Finance, Legal, Product, Pricing, and other teams to execute complex deals, launch pricing and packaging, maintain revenue and opportunity data integrity, and improve forecasting. Analyze deal performance, develop sales enablement materials, streamline processes, and use AI and automation to scale revenue operations.

Designs and manages scalable data pipelines, contracts, transformation layers, and analytics models. The role focuses on data governance, observability, lineage, configuration validation, and collaboration with product engineering teams. It requires processing large datasets, integrating cloud and on-premises industrial technologies, and implementing streaming and message-queuing solutions, ideally in cybersecurity or industrial environments.

Own sales operations across forecasting, pipeline management, territories, quotas, account coverage, reporting, and rep productivity. Build dashboards and analyses, improve sales processes and opportunity hygiene, support planning and resource allocation, and partner with Sales, Finance, Revenue Operations, and Enablement. Administer HubSpot and Salesforce, improve GTM systems and automation, translate insights into seller training, and serve as a strategic operational partner to sales leadership.

Lead enterprise strategy and operations: develop multi-year strategic plans, build financial models for capital allocation, translate priorities into cross-functional execution with KPIs, and track performance to sustain execution velocity.

Lead end-to-end Procore implementations across project management, financials, analytics, and quality and safety modules. Design client-specific solutions, integrate Procore with Power BI, manage project scope, timelines, and budgets, and provide client training and support. Serve as the Procore subject matter expert during sales pursuits, mentor junior consultants, support business development, and develop innovative technology solutions for construction, real estate, and public sector clients.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.