Jobs at Mod Op

Leads the creation of Mod Op’s FP&A function, owning rolling forecasts, budgeting, financial reporting, board and lender materials, covenant forecasting, client profitability, acquisition modeling, and scenario analysis. Partners with service-line leaders to improve decisions involving revenue, margins, staffing, utilization, pricing, and client concentration. Builds scalable models and processes using AI, automation, code, SQL, and BI tools while serving as a strategic finance partner to executive and operational leadership.

Oversee day-to-day HR operations, employee relations, onboarding, offboarding, compliance, leave administration, benefits support, HRIS data, reporting, and employee helpdesk requests. Advise managers and employees on policies and performance, maintain accurate Rippling records, audit compliance data, and partner with Accounting, Talent Acquisition, and leadership. The role requires independent judgment, strong problem-solving, and the ability to balance strategic HR initiatives with hands-on administrative responsibilities.

Supports customer audience creation, segmentation, campaign setup, workflow management, quality assurance, and deployment in Adobe Campaign. Performs data quality checks, troubleshoots campaign issues, documents processes, monitors timelines, and collaborates with marketing, analytics, and technology teams. The role provides entry-level experience in marketing operations, marketing automation, customer data management, and campaign execution.

Coordinates digital advertising campaign execution across paid search, ABM, native, display, and video channels. Responsibilities include collecting and quality-checking assets, managing deadlines, building Google Ads campaigns, activating Demandbase campaigns, trafficking materials, implementing tags and UTM codes, monitoring launches, troubleshooting delivery issues, and maintaining workflow procedures.

Supports scalable ETL/ELT pipelines, cloud data platforms, database integration, machine learning model development and deployment, AI-enabled workflows, and analytics dashboards. Uses Python, data science libraries, AWS, GCP, Azure, SQL and NoSQL databases, Looker, Tableau, and automation tools. Collaborates with data engineers, analysts, data scientists, and marketing teams to deliver data-driven solutions. The role is hybrid in Dallas, requiring two in-office days weekly.