Senior Solutions Consultant, Data and Analytics
New
J
JobgetherInsurance Technology
Based in United StatesFull-TimeSenior
Salary$90,000–$175,000
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Job Details
- Experience
- Approximately 8 years
- Required Skills
- Artificial IntelligenceSaaSData analytics
Requirements
- Approximately 8 years of experience in sales, sales engineering, insurance sales, insurance operations, or a comparable customer-facing solution role.
- Proven experience in the insurance or reinsurance sector, with knowledge of areas such as risk assessment, underwriting, exposure management, catastrophe risk, portfolio management, or claims analysis.
- Ability to leverage insurance expertise to support SaaS sales involving geospatial solutions, risk assessment, spatial data, or analytics.
- Demonstrated ability to lead or contribute to customer discovery, consultative problem-solving, solution design, and sales engagements.
- Proven experience delivering compelling presentations and demonstrations to non-technical audiences.
- Familiarity with customer-facing solution design involving SaaS products, data workflows, APIs, integrations, configuration, or implementation concepts.
- Experience supporting proposals, RFPs, RFIs, written responses, solution documentation, or cross-functional deal execution.
- Experience with AI enablement.
- Bachelor’s degree or relevant industry experience.
- Willingness and ability to travel up to 50% of the time.
Responsibilities
- Lead discovery sessions with sales teams and prospective customers to understand business needs, define detailed requirements, establish evaluation criteria, and align on the next steps in the sales process.
- Design and deliver value-based software demonstrations and presentations, both remotely and in person, tailoring content and messaging to customer needs.
- Support all stages of the sales lifecycle, taking ownership of customer proposals, RFPs, RFIs, written responses, solution documentation, and other required sales materials.
- Translate insurance use cases and customer challenges into relevant SaaS, data, analytics, and geospatial solution approaches.
- Collaborate with Cloud Operations and Professional Services to advise customers on the technical considerations and implications of migrating to cloud-based solutions.
- Lead customer-facing discovery sessions focused on existing integrations, analyzing business requirements and technical constraints.
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