Top Remote Senior Level Jobs in Washington DC,

Leads finance team operations, financial reporting, budgeting, forecasting, variance analysis, financial modeling, KPI development, profitability analysis, and working-capital reporting. Oversees dashboards, BI automation, process improvements, and data quality initiatives while advising firm, office, and practice-group leadership. Manages analysts and coordinators, provides coaching, supports strategic finance execution, and delivers analyses for senior leadership. The role requires strong finance, professional-services economics, analytical, communication, and people-management expertise.

Build and configure CMS websites, including templates, components, responsive layouts, content migrations, navigation, metadata, SEO, forms, integrations, and analytics tools. Test sites across browsers and devices, resolve bugs, train internal teams, and document ongoing maintenance. The role supports federal client projects on an as-needed freelance basis and requires accessibility, security, and responsible AI awareness.

Lead product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

The Senior Financial Analyst administers Workday Adaptive Insights, maintains financial data integrity, and optimizes integrations with Workday Financials, NetSuite, and BigQuery. Responsibilities include close reporting, P&L analysis, reporting packages, board materials, budgeting, long-range planning, scenario modeling, and G&A business partnering. The role supports budget-versus-actuals analysis, headcount planning, forecasting, and quarterly planning cycles while improving financial systems and processes.

Own performance marketing for multiple client accounts, including Meta campaign strategy, media buying, budget and audience optimization, creative testing, direct-response copy and video sales letter scripting. Lead client relationships, performance reporting, funnel analysis, conversion tracking, Calendly and Zapier integrations, and technical troubleshooting. Drive qualified appointments, improve campaign economics, identify performance issues, and support client retention through data-driven recommendations and strategic execution.

Leads technical pre-sales for digital workspace solutions, serving as a trusted advisor to customer IT leaders. Responsibilities include account planning, technical discovery, presentations, demonstrations, workshops, RFP/RFI responses, solution alignment, competitive analysis, and technical deal closure. The role partners with sales, customer success, product, support, and engineering teams to drive adoption, expansion, and customer outcomes while influencing product direction through customer and market insights.

Manage strategic public-sector customers using Salesforce Marketing Cloud Next, serving as a trusted advisor and primary accountability point. Lead platform adoption, value alignment, migrations from legacy marketing platforms, technical discovery, consent and data migration strategy, stakeholder workshops, incident communications, health reviews, and renewal or expansion opportunities. Guide customers through Marketing Cloud Next and Data Cloud implementations while coordinating internal teams, partners, and technical resources. The role requires deep marketing automation expertise, strong consulting and communication skills, and eligibility for a Moderate Public Trust investigation.

Own Clara’s global fraud detection strategy across markets and fraud vectors. The role develops rules, risk signals, machine learning models, automation, monitoring, and case-management capabilities; leads AI and workflow automation; establishes model governance and KPIs; identifies emerging threats; and partners with Fraud Operations, Risk, Product, Engineering, and Data Science to deliver scalable, explainable, and effective fraud controls.

Build AI-native developer tooling, including context aggregation, MCPs, CLIs, skills, sub-agents, and integrations with engineering systems. Develop AI-assisted workflows for code generation, review, testing, documentation, refactoring, and incident management. Establish autonomous development agents, optimize model selection and AI costs, improve developer velocity, and define standards for AI-generated code. Own system design and delivery while partnering with platform, infrastructure, and application teams.

Lead research and thought leadership on data management and AI readiness, produce actionable insights, advise clients and sales, present at events, mentor analysts, and improve research processes to drive client outcomes.