Data Product Manager

Job Type:Permanent Build a brilliant future with Hiscox Product Manager, Data Science, AI & Innovation Position:
Data Product Manager

Reports To:

Director of Product & Delivery, Data Organization

Location:

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

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 into how we discover, build, deploy, and scale data products, and this role sits at the leading edge of that shift, partnering with our data science, AI engineering, and intelligent automation teams to turn emerging capability into real business outcomes.

About the Role:

We are looking for a Product Manager to own the data products and capabilities delivered by our intelligent automation, data science, and AI engineering teams. Where our core and steady-state data products keep the business running, this role is focused on what's next — defining, prioritizing, and delivering the models, automations, and AI-enabled capabilities that create new value for business stakeholders across the US value chain (marketing, operations, underwriting, claims, distribution, and finance).This

is a forward-looking, technically fluent product role for someone who understands both the art of the possible and the discipline of shipping production-grade data science, automation, and AI products. You will partner daily with data scientists, ML/AI engineers, and automation engineers to translate ambiguous business problems into well-scoped product initiatives, and you will be expected to actively drive horizon scanning — working with these teams, business stakeholders, vendors, and the broader industry to proactively anticipate, evaluate, and bring forward what's next in data science, automation, and AI so the organization stays ahead rather than reactive.

You will own the roadmap, backlog, and outcomes for this product area end to end, ensuring every automation, model, and AI capability we build is grounded in a clear business case, responsibly governed, and designed to scale.

What You'll Do:

Product Ownership, Vision & Strategy:

Define and own the vision, strategy, and roadmap for data products and capabilities delivered by the intelligent automation, data science, and AI engineering teams.

Translate business problems and opportunities into well-defined product initiatives, with clear hypotheses, success metrics, and business cases for automation, data science, and AI investments.

Prioritize and sequence a backlog that balances quick-win automations, applied data science use cases, and larger AI/ML product builds against business value and delivery capacity.

Champion the organization's AI-first operating model, ensuring new data products are designed from the outset for responsible AI use, scalability, and integration with the broader data platform.

Horizon Scanning &

Innovation:

Drive structured horizon scanning with the data science, automation, and AI engineering teams, business stakeholders, industry peers, and vendors to proactively identify emerging tools, techniques, and use cases.

Evaluate emerging AI, GenAI, machine learning, and automation capabilities for applicability and value to the business, and translate promising innovations into proof-of-value and pilot proposals.

Maintain an active view of the competitive and industry landscape in P&C insurance data science and automation, sharing relevant insights with leadership and stakeholders to inform strategy.

Foster a culture of experimentation, running structured pilots and proofs of concept to test new capabilities before committing to full-scale investment.

Perform hands-on data analysis and SQL-based investigation to validate data quality, troubleshoot issues, and inform product decisions.

Manage capability-related incidents, questions, and…