Top Remote Senior Level Jobs in Philadelphia, PA

Lead and manage a team of project financial analysts supporting a multi-million capital technology portfolio. Oversee capital forecasting, budgeting, variance analysis, executive reporting, risk identification/mitigation, and stakeholder collaboration. Provide internal consulting, coaching, and process guidance across finance, technology, and business partners.

Provide first-line technology risk oversight for customized data platforms and AI/ML enablement. Identify, assess, document, and help mitigate technology, data, security, stability, third-party, and AI-related risks. Support RCSA, control reviews, issue management, AI use-case triage, stakeholder reporting, and remediation coordination across hybrid-cloud and on-prem environments.

Lead a sourcing team to develop and execute multi-year category strategies for network, telecom, and cybersecurity services. Drive RFIs/RFPs and negotiations, manage supplier performance and risk, deliver cost savings and demand-management improvements, partner with business, risk, and compliance, and coach staff to ensure measurable enterprise value in a regulated banking environment.

Build and maintain low-latency, highly available distributed data systems and services to deliver high-quality data for product, analytics, and ML. Partner with data scientists and product teams to design scalable, observable, multi-tenant data products using batch and real-time processing frameworks. Ensure 24x7 reliability, monitoring, and operational excellence while owning end-to-end delivery.

Build and own internal data visualization web applications for content reporting. Partner with product, data scientists, and R&D to integrate multiple data sources, design intuitive charts, iterate on UX based on feedback, and surface metrics and predictive analytics for business stakeholders.

Design, productionize, and deploy machine learning forecasting models for ad inventory and campaign performance in low-latency, real-time advertising environments. Build scalable simulation, budgeting, and pacing systems; collaborate with cross-functional teams to deploy models at scale and optimize ad monetization.

Own Rayda's go-to-market: define positioning, ICPs, personas, and product narratives; design and run market tests; align sales enablement and demand gen; feed insights to product and comms; drive repeatable GTM execution and measurable decisions that improve sales clarity.

Lead design, development, and production deployment of autonomous AI agents and multi-agent systems. Build RAG pipelines, vector DB integrations, agent orchestration, observability and guardrails, integrate agents with enterprise systems, and drive AI architecture and best practices across teams to enable intelligent workflow automation and decision-making.

Lead consumer lifecycle strategy and execution across email, push, and in-app channels. Build and run complex CRM campaigns, analyze performance, run experiments, and automate journeys to drive product adoption, engagement, retention, and revenue. Collaborate with product, data, CRM ops, and compliance/legal to ensure regionally compliant marketing.

Build high-performance API services and production-grade Generative AI systems. Design and implement end-to-end RAG pipelines, vector stores, embeddings, and latency-optimized generators. Develop agentic AI using LangChain/CrewAI/Semantic Kernel, integrate LLM APIs and AWS Bedrock, manage CI/CD and ML pipelines, and apply evaluation frameworks to detect hallucinations and optimize performance.

Lead and grow a distributed platform and infrastructure team, drive cloud modernization and managed-service migrations, own reliability, deployment, disaster recovery and CI/CD standards, and translate platform strategy into actionable roadmaps while remaining hands-on during incidents.

Lead technical implementations and configuration for new customers, provide omnichannel support and documentation, engage customers to gather requirements and feedback, collaborate with Account Management, Sales, Product, and Engineering to drive successful deployments and expansions, and help refine implementation processes to accelerate customer value.

Drive revenue growth by developing territory plans, managing OEM and Tier 1 accounts, identifying and closing opportunities, delivering tailored technical solutions, collaborating with engineering and operations, maintaining CRM pipeline, providing post-sale support, and traveling frequently to customer sites.

Lead modernization of the Variable Marketing & Incentives AI platform: define strategy, lead discovery and roadmaps, partner with dealers and engineering, leverage data and AI to optimize incentives, drive migration and operational controls, define success metrics, and deliver executive-aligned materials to ensure measurable business impact.

Provide regulatory legal advice on the Motor Vehicle Safety Act and FMVSS compliance, evaluate potential safety recalls, draft and review documents for NHTSA, participate in cross-functional safety and product development meetings, and perform targeted legal research to support regulatory submissions and Ford's compliance with NHTSA orders.

Own integrated execution across the data-to-reporting value stream: maintain unified schedules, dependencies, risks and readiness; drive Jira and Agile delivery hygiene; facilitate cross-team collaboration from requirements through UAT; manage critical path, release planning, and leadership reporting to ensure data/reporting launch readiness.

Lead a team that manages master and client data operations, driving data quality, process improvements, automation, backlog and project execution, performance metrics, and cross-functional coordination to ensure timely, accurate data delivery and operational scalability.