AI Underwriting Data Manager

Responsibilities

• Manage a team of analysts, including training and guidance, establishing clear goals and responsibilities, and ongoing performance management
• Manage the overall budget for underwriting third-party data.
• Deliver substantial savings by identifying efficiencies and ways to in-house data services.
• Own and drive the product roadmap for data integrations.
• Serve as the key business connection for external data vendors.
• Partner with the procurement team on vendor contract negotiations.
• Collaborate with internal stakeholders to identify and onboard new external data vendors.
• Manage the Proof of Concept process for testing and evaluating new data vendors.
• Create detailed product requirements for services that leverage data integrations.
• Define success criteria for Proofs of Concept and evaluate results in partnership with underwriting.
• Prioritize PoCs and provide regular reporting on progress and outcomes to senior leadership.
• Oversee vendor performance metrics and usage reporting, using results to inform strategic decisions.
• Escalate critical vendor issues and maintain high-level relationships with vendor leadership.
• What We Need:
• Budget Oversight: Proven experience in managing and tracking a data budget, including forecasting, monitoring monthly expenditures, and identifying areas to optimize spending.
• Vendor Negotiation: Strong negotiation skills to secure favorable terms with data vendors, ensuring cost-effective solutions that meet business needs.
• Relationship Management: Ability to build and maintain strong relationships with external data vendors, ensuring smooth collaboration and service delivery.
• API Proficiency: Proficient in using API clients such as Postman to test, run, and troubleshoot API services.
• Technical Documentation: Ability to read, understand, and apply API documentation for integration purposes.
• Service Evaluation: Capability to assess new data services, including running Proof of Concepts (PoCs) to determine their fit for the company's needs.
• Roadmap Development: Experience in developing and maintaining a roadmap for data integrations, aligning with the company's strategic goals and underwriting needs.
• Executive Communication: Strong presentation skills to effectively communicate the integration roadmap and progress to executives and other senior stakeholders.
• Cross-Functional Collaboration: Ability to work closely with internal stakeholders, including product, engineering, and underwriting teams, to ensure successful implementation of the roadmap.
• Data Analysis: Ability to interpret vendor data using SQL or Python to validate performance and support strategic decisions.
• Note on Fraudulent Recruiting
• We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.
• The range displayed on this job posting reflects the minimum and maximum target for ne

Additional Information

Location: Waltham, MA (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find ERGO NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow - that's where you come in. Seize the opportunity to be a part of an exciting transition in the insurance industry! We're inviting an accomplished and forward-thinking data manager to join our AI Underwriting team. This pivotal role will have you innovating and developing groundbreaking digital underwriting features in partnership with our insurance, data, engineering, and machine learning teams.

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