Consultant in the Lead Generation sphere(Insurance domain)
Binariks is looking for an experienced and highly skilled consultant in the lead generation sphere(insurance domain).
About the Project: Our Client operates a healthcare data aggregation and matchmaking platform that connects patients with brokers. They aim to implement agentic AI to automate and optimize their lead-generation and data-processing pipelines. The system ingests large volumes of patient data, routes it through multiple partners, and requires robust, scalable data orchestration.
What We’re Looking For:
3+ years of experience as a Business Consultant or Business Analyst, preferably in lead-generation, performance marketing, or matchmaking platforms.
Strong understanding of the insurance industry’s lead-generation landscape, including lead distribution models, scoring, quality assessment, and traffic sources.
Proven experience with optimization logic (ranking, scoring, routing, recommendation rules).
Ability to design data-driven business processes and translate them into technical requirements.
Experience collaborating with cross-functional teams (Architect, PM, BA, engineering).
Strong analytical mindset and familiarity with KPIs related to lead performance, cost efficiency, and conversion metrics.
Excellent communication skills with the ability to conduct stakeholder interviews and present findings.
Upper-intermediate English or higher.
Your Responsibilities:
Analyze the current lead-generation ecosystem and identify optimization opportunities for insurance lead flows.
Work closely with the Architect, PM, and BA team to design the Automated Source Optimizer (ASO) -a recommendation engine for selecting the most efficient lead sources.
Collect and structure business requirements, transform them into clear functional specifications.
Evaluate existing lead-generation or matchmaking platforms and propose best-practice approaches for insurance-specific use cases.
Develop data-driven models and decision logic for ranking, routing, and prioritizing lead sources.
Conduct market research on lead vendors, performance metrics, pricing models, and quality indicators within the insurance domain.
Facilitate workshops, interviews, and discovery sessions with internal stakeholders.
Support the team during implementation, ensuring requirements clarity and proper solution alignment with business goals.
Validate solution effectiveness through KPIs, testing scenarios, and performance analytics.