Top Hybrid Jobs

Owns day-to-day accounting and financial operations across multiple entities, including accounts receivable, accounts payable, billing, reconciliations, payroll coordination, month-end close, financial reporting, cash-flow monitoring, and forecasting support. The role will use AI, automation, and modern financial tools to improve workflows, controls, accuracy, and scalability while partnering with leadership, operations, external accountants, auditors, and tax advisors.

Build and operate production data pipelines from clinical, operational, billing, and product systems into trusted warehouse datasets. Responsibilities include ingestion with dlt and Prefect, data modeling in dbt, AI training and evaluation datasets, pipeline testing and monitoring, lineage and alerting, schema changes, backfills, and secure handling of PHI through access controls, de-identification, and audit trails.

Own the SAP S/4HANA Controlling domain, leading product costing, manufacturing cost management, profitability analysis, planning, reporting, and FI-CO integration. Conduct fit-to-standard workshops, configure SAP Controlling capabilities, define costing and master-data processes, oversee integrations and solution designs, and support testing, deployment, training, financial close, and post-go-live optimization. Partner with Finance, Manufacturing, Supply Chain, and Technology stakeholders throughout a large-scale SAP transformation.

Leads technical delivery and governance for Microsoft 365 Modern Work and enterprise AI platforms. Owns solution design, implementation, change control, automation, incident escalation, root cause analysis, documentation, and continuous improvement. Provides technical authority across Teams, SharePoint, OneDrive, Exchange, Copilot, Copilot Studio, GitHub Copilot, Power Platform, agents, and AI governance. Partners with business, security, privacy, legal, compliance, identity, vendors, and operations teams in a regulated enterprise environment.

Guide customers with significant unsecured debt through personalized debt resolution options. Manage a high-value sales pipeline, conduct consultative financial conversations, explain program structures and outcomes, follow up strategically, and close enrollments efficiently while meeting sales goals. The role requires empathy, financial clarity, strong decision guidance, and success in commission-driven inside sales.

Manages accounting and audit engagements, overseeing daily activities, quality, client communication, budgeting, and project planning. Identifies issues, recommends process improvements, and provides trusted guidance to clients. Leads and mentors assurance staff when serving as In-Charge while maintaining professional standards, strong communication, analytical skills, and flexibility across varied engagements.

Supervise corporate tax engagements by preparing and reviewing federal, state, and local tax returns, researching complex tax matters, identifying planning opportunities, managing deadlines, and ensuring quality. Build client relationships, collaborate with senior leaders, and review, coach, and train junior tax professionals while maintaining current knowledge of tax laws and regulations.

Design and own developer and test infrastructure for production-like environments. Build CI/CD pipelines, deployment automation, data-generation tools, workload simulations, and infrastructure supporting integration, load, performance, and correctness testing. Enable AI coding agents to test and validate code autonomously while improving engineering velocity, reliability, scalability, and cost efficiency. Collaborate with engineering teams to remove development bottlenecks and scale testing systems.

Eight- to nine-week summer tax internship for undergraduate students. Interns support tax preparation, research, compliance, audits, financial-data analysis, tax records, and federal and multistate income-tax returns for individuals and entities. The role includes using firm tax-preparation software, completing projects within timelines and budgets, self-reviewing work, participating in training, and developing technical and professional skills alongside tax and accounting professionals.

Build and operate production AI agents for enterprise transformation. Own agent harnesses, tools, context, retrieval, classical ML components, evaluations, monitoring, tracing, guardrails, approval gates, and rollback paths. Develop reliable systems that work across complex enterprise landscapes, diagnose production failures, and generalize capabilities across customers. The role requires strong Python and TypeScript, experience with LLM-powered and agentic systems, retrieval, evaluation, and traditional machine learning.