Associate Technical Product Manager, Analytics

As an Associate Technical Product Manager, Analytics, you will be part of the Hagerty Data and Decision Science team.   You will be responsible for the development and execution of the strategy roadmap of a broad spectrum of data-driven decision products for business teams.  These products and services include self-service dynamic dashboards, statistical analyses, real time predictions and prescribed actions from embedded ML algorithms, graph algorithms, generative AI and more. You will have the opportunity to work on projects across the customer lifecycle from prospecting customers to claims and across the different Hagerty products and services.

You achieve these objectives through collaboration with business leaders to understand problems and priorities.  And collaboration with Data and Decision Science team analysts and data scientists to deliver data driven solutions to the business teams.  This will be a highly visible and influential role interacting with business leaders, analytic teams, and engineering.

The ideal candidate has a working understanding of insurance products or operations, has experience in product management, and has familiarity with data-driven solutions from business intelligence to AI/ML. This individual will be instrumental in shaping the strategic and tactical direction of our analytic products.  

Ready to get in the driver’s seat? Join us!

What you’ll do

Roadmap Development: Support the creation of the product roadmap by closely engaging with more senior product leaders and business and technology stakeholders to define and prioritize the product roadmap, specifically at the feature and user story level, articulating a clear vision and strategy for our key technologies.  

Balance scope and delivery plans, while integrating customer/user feedback, business objectives, and market research to identify emerging trends, competitive threats, and opportunities for innovation.

Feature Prioritization: Define analyst and data scientist-ready requirements and prioritize product enhancements based on ROI, customer impact, and technical feasibility.

Collaborate with stakeholders, including customers, sales teams, and subject matter experts, to gather and prioritize product requirements and feature enhancements.  Engage directly with users to understand their needs, pain points, and gather feedback on existing features and workflows.

Backlog Grooming: Maintain a well-groomed product backlog, ensuring clarity, completeness, and readiness for development sprints.

Technical Alignment: Ensure that implemented solutions are compliant with the organization’s established technical standards and take advantage of already established technical competencies.

Quality Assurance: Assist in defining and executing quality standards throughout the product development life cycle, engaging in testing and ensuring the delivery of high-quality, reliable software solutions.

Product Training and Support: Develop training materials and resources to enable internal teams to effectively utilize our products, fostering adoption and maximizing value as well as supporting internal customer support questions.

User Experience (UX) Design: Advocate for user-centric design principles, ensuring our products deliver intuitive user experiences optimized for engagement and ease of use.

Performance Tracking: Define key metrics and KPIs to measure product performance, conducting regular analysis to assess effectiveness and inform decision-making.

Stay informed about regulatory changes and compliance requirements that may impact the rating and policy administration functionalities.

This might describe you

Minimum of 1-2 years of experience in product management, technical product management, or a related field, preferably in the SaaS industry or other technical domains.  Insurance experience a plus.

Experience with a range of data-driven solutions from self-service dashboards to AI/ML models.

Technical acumen with the ability to communicate effectively with business intelligence / data science teams and understand complex technical concepts.

Leadership, communication and presentation skills, with the ability to influence and collaborate effectively across all levels of the organization and drive decisions, especially in ambiguous situations.

Experience successfully managing products: product strategy, defining roadmaps, and leading product development from concept to launch, with emphasis on user experience and market fit.

Ability to work collaboratively in a cross-functional team environment.

Analytical, problem-solving, and decision-