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About the Role
We are seeking a Product Manager to own the data products and capabilities delivered by our intelligent automation, data science, and AI engineering teams. This role focuses on defining, prioritizing, and delivering models, automations, and AI-enabled capabilities that create new value for business stakeholders. You will be responsible for the roadmap, backlog, and outcomes for this product area, ensuring all initiatives are grounded in a clear business case, responsibly governed, and designed to scale.
Responsibilities
- 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.
- 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 escalations, communicating clearly with technical and non-technical audiences alike.
- Validate and sign off on innovation products, confirming accuracy, functionality, and Enterprise Data management (EDM) standards are met.
- Partner with business stakeholders across US business functions to understand their goals and identify opportunities for automation, data science, and AI to create value.
- Work closely with data scientists, ML/AI engineers, and automation developers to scope, refine, and validate requirements, acceptance criteria, and model/automation performance expectations.
- Partner with the Delivery Manager and Scrum Masters to keep the backlog refined, sequenced, and ready for delivery within agile ceremonies.
- Communicate roadmap, tradeoffs, experimentation outcomes, and innovation findings clearly to both technical teams and business/executive stakeholders.
- Collaborate with peer Product Managers, Architecture, and Governance teams to ensure new automation, data science, and AI products integrate cleanly with core and steady-state data platforms.
Requirements
- Minimum 5 years of experience as a Product Manager or Product Owner with a data science, automation, AI/ML, or innovation focus.
- Property & Casualty (P&C) insurance industry experience.
- Experience working within a Data organization (e.g., data science, AI/ML engineering, intelligent automation, analytics, or data platform teams).
- Familiarity with data science, machine learning, and AI product development lifecycles, from ideation and proof of concept through production deployment.
- Deep analytical skills and working knowledge of SQL, with the ability to independently query, investigate, and validate data supporting model and automation performance.
- Demonstrated ability to translate ambiguous business problems into scoped product initiatives and to evaluate the business value and feasibility of emerging AI, automation, and data science capabilities.
- Experience driving horizon scanning or innovation evaluation processes — proactively identifying, assessing, and prioritizing emerging tools, techniques, and use cases.
- Strong verbal and written communication skills, with the ability to translate between technical and business audiences, including at the executive level.
- Experience working with cross-functional agile teams, facilitating consensus on scope, design, and prioritization decisions.
- Hands-on familiarity with intelligent automation platforms (e.g., IA and RPA tools), MLOps/model lifecycle tooling, and cloud AI/ML services (e.g., Azure AI, Databricks, GEAP, AWS SageMaker).
- Exposure to GenAI and large language model (LLM)-based product development, including prompt engineering, agentic workflows, or responsible AI practices.
- Background in data science, analytics, or engineering that provides technical credibility with model-building and automation teams.
- SAFe POPM, CSPO, or equivalent agile product management certification.
- Experience with Objectives and Key Results (OKRs), innovation portfolio management, or venture/incubation-style product development.
- Experience working as part of a globally distributed team.
Skills
- Data Science
- AI/ML
- Innovation
- Product Management
- Product Ownership
- Intelligent Automation
- SQL
- Agile Methodologies
- Roadmap Development
- Backlog Management
- Stakeholder Management
- Communication
- Analytical Skills
- Horizon Scanning
- MLOps
- Cloud AI/ML Services
- GenAI
- LLM
- Prompt Engineering
- Agentic Workflows
- Responsible AI
- Data Analysis
- Problem Translation
- Business Case Development
- Agile Ceremonies
- Cross-functional Collaboration
- OKRs
- Innovation Portfolio Management
- Venture/Incubation Product Development
Location
- Atlanta, GA
- Boston, MA
- NYC Manhattan
- West Hartford, CT
Work Type
- Hybrid
- Permanent
Experience Level
- Minimum 5 years of experience as a Product Manager or Product Owner
Education Level
- SAFe POPM, CSPO, or equivalent agile product management certification
Salary/Compensations
- $100k-$130k
Benefits
- Competitive salary and bonus
- 401(k) with competitive company matching
- Comprehensive health insurance, vision, dental and FSA plans
- Company paid group term life, short-term disability and long-term disability coverage
- 24 Paid time off days
- 2 Hiscox Days
- 10 paid holidays
- Ability to purchase 5 PTO days
- Paid parental leave
- 4 week paid sabbatical after every 5 years of service
- Financial Adoption Assistance
- Medical Travel Reimbursement Programs
- Annual reimbursement up to $600 for health club membership or fees associated with any fitness program
- Company paid subscription to Headspace
- Modern and open office spaces
- Complimentary drinks
About the Company
- Hiscox USA underwrites small- to mid-market commercial risks through brokers, other insurers and distribution partners and directly to businesses.
- In 2026, gross written premiums for the segment will represent over $1bn.
- Circa 50% of the portfolio comprises small commercial business sold either online or through intermediaries, and the remaining 50% represents traditionally traded business intermediated through broking partners including Professions, Crisis Management and Specialist lines such as Media & Entertainment.
- Hiscox USA has built the digital business since 2010 through ongoing investment in the brand, technology and operational capabilities.
- The business has pursued an omni-channel approach since inception, and so are less constrained by the channel conflict which affects some competitors.
- Customers have a choice of buying policies online end-to-end, by connecting with a Hiscox agent over the telephone, or alternatively through a third-party broker or insurance carrier partner.
- The business follows an ‘all roads lead to Hiscox’ philosophy, ensuring it is available to do business with target customers whichever way they choose.
- Work with amazing people and be part of a unique culture.
Equal Opportunity
- Courage: Dare to take a risk
- Ownership: Passionate, commercial and accountable
- Integrity: Do the right thing, however hard
- Connected: Together, build something better
- Human: Clear, fair and inclusive