Data Product Manager

Job Type: Permanent

Build a brilliant future with Hiscox Product Manager, Core Change & Steady State Position:
Data Product Manager

Reports To:

Director of Product & Delivery, Data Organization

Location:

Atlanta, GA;
Boston, MA; NYC Manhattan;
West Hartford, CT (Hybrid)

Our Data organization creates and manages a portfolio of trusted, reusable, and governed data products that deliver measurable business value and drive profitable growth for the company. We operate an agile, product-based delivery model with cross-functional scrum teams aligned to business objectives and key results. We are in the midst of a deliberate shift toward an AI-first operating model — embedding AI, GenAI, and intelligent automation directly into how we discover, model, build, test, monitor, and support data products, so that every core and steady-state capability we own becomes faster to deliver, easier to trust, and cheaper to run over time.

We are looking for a Product Manager to own the core change and steady-state products that form the backbone of our Data organization — the foundational data platforms, conformed and curated data layers, business-as-usual (BAU) feeds, and the recurring enhancements that keep our data ecosystem reliable, governed, and ready for the next wave of AI-enabled use cases. This is a hands‑on, technically grounded product role for someone who has lived inside a Data organization: someone fluent in data frameworks and methodologies, comfortable navigating a modern data lakehouse and cloud data platform, and confident enough with SQL and data modeling to have real conversations with engineers about how conformed and curated data structures should evolve.

You will balance the steady drumbeat of core changes and BAU support against the organization’s push toward AI‑first ways of working, ensuring that stability, governance, and continuous modernization move forward together rather than competing for attention. You will own the roadmap, backlog, and outcomes for this product area, partnering closely with delivery leads, data engineering, analytics engineering, architecture, and business stakeholders across the US value chain (marketing, operations, underwriting, claims, distribution, and finance) to ensure our data products keep pace with evolving business needs.

• Core Change & Steady‑State Product Ownership:
  Own the product vision, roadmap, and backlog for core/foundational data platforms, conformed and curated data layers, BAU feeds, and recurring change requests.
• Balance new demand (core change) against the health of steady‑state operations — data quality, platform stability, and reduction of technical debt.
• Continuously evaluate and evolve conformed and curated data models so they stay aligned to shifting business use cases, reporting needs, and downstream data product outcomes.
• Champion the organization’s move to an AI‑first operating model by identifying opportunities to embed AI and automation into data discovery, modeling, quality monitoring, and support workflows for core and steady‑state products.
• Apply data frameworks and methodologies (e.g., medallion/bronze‑silver‑gold architecture, data mesh or domain‑oriented principles, data governance and stewardship standards) to guide sound product and design decisions.
• Own product intake, prioritization, success measures, and monitoring to ensure Data Products remain relevant, achieving business outcomes/value as well as defined performance and functional service levels.

• Partner with business stakeholders and Data Delivery teams to translate business needs into clear user stories, functional/non‑functional specifications, acceptance criteria, and prioritized backlog…