Top Remote Jobs in Pittsburgh, PA

Leads enterprise Key Drivers Analytics and an Associate Director team delivering advanced analytics across pharmaceutical business priorities. Owns analytics roadmaps, methodologies, governance, modeling standards, talent deployment, and globally distributed delivery. Directs multivariate analyses, segmentation, diagnostics, scenario modeling, validation, insight generation, and executive recommendations. Partners cross-functionally to translate evidence into measurable business actions while ensuring reproducibility, compliance, responsible AI, and scalable analytical solutions.

Designs and owns secure, scalable AWS infrastructure for greenfield builds and migrations. Leads systems architecture, disaster recovery, networking, Infrastructure as Code, CI/CD, observability, security, and cost optimization. Develops automation in Python and Bash, supports services in Java or Node.js, evaluates AI-assisted engineering tools, leads client architecture workshops, manages incident response, and mentors engineers.

Leads the global revenue operations function across forecasting, pipeline analytics, territory and quota planning, CRM management, reporting, and data governance. Manages analysts and CRM professionals, establishes sales operating cadences, oversees forecast accuracy and pipeline coverage, and partners with Finance, Deal Desk, and Salesforce engineering. Provides executive insights on performance, win/loss trends, retention, pricing, and revenue reconciliation while driving process improvements and systems development.

Leads geospatial sales by identifying and closing opportunities, developing client and partner relationships, managing proposals, creating account strategies, and achieving revenue targets. Sells ESRI-based GIS services to utilities and private-sector clients, develops marketing strategies, and represents the company at conferences and regional events. Requires strong knowledge of geospatial services, utility business challenges, sales processes, negotiation, presentations, and relationship management.

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Leads global Talent Operations by owning the recruiting technology stack, optimizing ATS workflows, automating manual processes with AI, building recruiting dashboards, maintaining data quality, and managing a distributed operations team. The role also standardizes recruiting processes, supports offer and contract workflows, evaluates vendors, enables recruiters and hiring managers, and ensures hiring compliance across multiple countries.

Designs and executes end-to-end QA and UAT for a healthcare technology platform supporting Veteran Directed Care. Responsibilities include creating test plans, suites, cases, scripts, and coverage matrices; validating role-based workflows, eligibility, authorizations, budgets, timesheets, payroll, accessibility, and reporting; documenting and reproducing defects; supporting compliance traceability; and collaborating with product, design, engineering, operations, and stakeholders.

Build, customize, and maintain WordPress websites, including custom themes, plugins, integrations, and Elementor implementations. Optimize sites for responsiveness, SEO, performance, and cross-browser compatibility. Troubleshoot technical issues, collaborate with designers and project managers, manage multiple client projects, and stay current with WordPress best practices and technologies.

Manage payor and strategic partner implementations from contract signing through go-live and steady-state operations. Build project plans, coordinate internal and external stakeholders, track dependencies and action items, communicate risks and updates to leadership, and establish process metrics. Resolve implementation issues involving credentialing, claims processing, and revenue cycle operations while delivering launches on time, within budget, and within scope.

Leads client discovery and designs architectures for web, mobile, and AI products. Defines scopes, integrations, data models, cloud deployments, security, privacy, multi-tenant systems, and AI/RAG features. Reviews code and technical approaches, guides engineers, manages technical risks, and owns architecture quality through delivery. Requires strong client communication, software engineering experience, cloud expertise, integration design, production AI architecture, and agency or consultancy experience.