Jobs at Hagerty

Designs, develops, tests, maintains, and troubleshoots Workday integrations with internal and external systems. The role gathers requirements, documents solutions, supports HR stakeholders, leads QA and system testing, monitors Workday releases, optimizes HR system performance, and provides technical guidance and training. It also serves as a subject matter expert in HRIS projects and collaborates with Finance and HR system teams.

Conducts statistical analyses supporting insurance pricing, rate studies, filings, policy re-rating, and pricing impacts. Prepares and reconciles data, reviews reports, produces ad hoc analyses, validates premiums, and supports pricing projects. Collaborates with actuaries, underwriting, and product teams to develop profitable, competitive pricing strategies across assigned regions and products.

Develop and execute strategies to acquire, engage, and retain professional sellers on Hagerty’s digital marketplace. Build dealer, consignor, and collection-manager pipelines; negotiate listing agreements; forecast sales; and drive inventory submissions and revenue. Manage seller relationships, conduct performance reviews, optimize vehicle listings, support valuation, and collaborate with operations, marketing, and product teams. Use marketplace data, CRM tools, and industry intelligence to improve acquisition, retention, and seller performance. Travel to auctions, seller visits, and industry events as needed.

Enables software delivery teams through Scrum ceremonies, planning, backlog coaching, dependency and impediment management, delivery metrics, and continuous improvement. Coaches teams and stakeholders on Agile and Lean practices, fosters accountability and psychological safety, and partners with Product, Engineering, Architecture, and IT Portfolio Management. The role supports cross-team collaboration, delivery standards, tooling, and organizational delivery maturity across value streams.

As a Data Scientist III, you'll build customer identity systems, develop recommendation models, predictive analytics for customer behavior, and collaborate with ML Ops and Data Engineering.

Lead product vision and roadmap for data and analytics products (ML, generative AI, data pipelines, BI). Translate business needs into developer-ready features, maintain backlog, collaborate with engineering and stakeholders, track KPIs, and drive adoption and continuous improvement.

Lead Duck Creek solution architecture across Policy, Billing, Claims, Agency/DMS domains. Decompose business capabilities into bounded contexts, design APIs and integrations (REST/SOAP, OpenAPI), define NFRs, author architectural decisions, and elevate Duck Creek platform knowledge across teams while communicating solutions to technical and nontechnical stakeholders.

Lead strategy and delivery for enterprise data, analytics, and AI/ML products. Manage a small TPM team, own portfolio roadmaps, prioritize platform investments, ensure model governance and compliance, and drive measurable business outcomes through cross-functional leadership and operational excellence.

Manage day-to-day execution for assigned APEX (Duck Creek) workstreams: maintain project plans, RAID logs, dependency tracking, status reporting, and stakeholder materials. Facilitate meetings, support change control, and ensure governance documentation for audits and SOX. Partner with Business, IT, and vendors to surface risks, escalate blockers, and contribute to EPMO standards and tools.