SUMMARY
Responsible for designing, optimizing, and scaling the division's revenue engine. This role provides strategic and operational leadership across Marketing, Sales, Finance, Carrier Relations, and Client Services to drive alignment, accountability, and measurable revenue outcomes across the full client lifecycle. This position owns the end-to-end revenue operations framework, from demand generation through sales execution, client retention, and expansion, ensuring consistent processes, accurate forecasting, and data-driven decision-making. This role plays a critical part in improving pipeline integrity, lifecycle governance, and revenue visibility, while translating go-to-market activity into actionable insights that accelerate growth.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Owns and evolves the end-to-end revenue operations strategy across all practice groups in the division, including the lifecycle design/revenue funnel (Lead MQL SQL Client Engagement Renewal/Expansion).
Identifies and implements processes to reduce revenue leakage and improve conversion performance throughout the funnel.
Standardizes lifecycle stage definitions, qualification criteria, and service level agreements (SLAs) across consulting and brokerage teams.
Leads cross-functional alignment across Marketing, Sales, Finance, Carrier Relations, and Client Services to ensure a unified and measurable revenue strategy.
Establishes revenue operations ownership for connecting marketing initiatives (demand generation, thought leadership, content engagement) to revenue performance metrics.
Partners with Marketing to ensure tracking, attribution, and CRM integration accurately reflect contribution to pipeline growth and deal progression.
Develops and maintains dashboards and reporting frameworks that demonstrate campaign performance, engagement impact, and revenue contribution.
Supports sales teams through CRM configuration, pipeline hygiene, and process optimization to improve forecasting accuracy.
Provides analytics and reporting on key performance indicators, including opportunity velocity, win rates, source effectiveness, and conversion metrics.
Partners with Sales leadership to enhance forecasting methodologies, pipeline management, quote responsiveness, and activity tracking.
Collaborates with Client Services to operationalize renewal management and account expansion strategies within the revenue model.
Works with Carrier Relations to incorporate carrier performance, persistency, and growth metrics into revenue planning and reporting.
Ensures visibility into retention performance, long-term revenue trends, and revenue health.
Ensures visibility into CRM and related systems to maintain data accuracy and governance across sales and service activities.
Oversees integration between CRM, marketing automation platforms, analytics tools, and service delivery systems.
Develops and maintains key performance indicators (KPIs), including pipeline velocity, win rates, conversion rates, source attribution, and customer lifecycle metrics.
Complies with agency management system data standards and data integrity (enters and maintains complete and accurate information).
Performs all duties in accordance with all company policies and procedures, and all federal, state and local laws, wherein the Company operates.
Performs other duties as assigned.
QUALIFICATIONS
EDUCATION/EXPERIENCE
Bachelor's Degree or equivalent combination of education and experience
Master's Degree or equivalent combination of education and experience
Eight (8) or more years experience in Revenue Operations, Sales Operations, or related go-to-market operational leadership roles
Experience within professional services, consulting, or insurance brokerage environments
Demonstrated experience configuring and managing CRM platforms (Salesforce preferred)
SKILLS
Strong analytical and problem-solving capabilities
Deep understanding of pipeline management, forecasting methodologies, and lifecycle governance
Experience building executive dashboards and reporting frameworks
Understanding of system integrations and data base structures
Proficient in use of business intelligence tools including SQL, Data Modelling, Power Query, and Power BI data visualizations
Knowledge of marketing attribution models and revenue analytics
Strong written and verbal communication skills
Ability to influence and collaborate across senior leadership and cross-functional teams
High level of organization, attention to detail, and accountability
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