Hiscox Logo

Hiscox

Data Product Manager

Posted One Month Ago
Be an Early Applicant
In-Office or Remote
2 Locations
100K-130K Annually
Senior level
In-Office or Remote
2 Locations
100K-130K Annually
Senior level
Own the roadmap, backlog, and outcomes for foundational data platforms, curated data layers, and BAU feeds. Partner with engineering, architecture, delivery, and business stakeholders to define requirements, prioritize changes, evolve data models, investigate quality issues with SQL, manage incidents, and maintain governance, reliability, and service levels. Drive AI and automation adoption across data product workflows while balancing modernization, technical debt reduction, and steady-state operations.
The summary above was generated by AI

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)

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 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.

About the Role:

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.

What You'll Do:

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.

Requirements & Stakeholder Management

  • 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 items.

  • Elicit, challenge, and document requirements for core changes, working with source system owners, data engineers, and architects to define source-to-target mappings, lineage, and data quality controls.

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

  • Manage data-related incidents, availability questions, and escalations for core platforms and BAU feeds, communicating clearly with technical and non-technical audiences alike.

  • Validate and sign off on new foundational data elements, confirming accuracy, functionality, and Enterprise Data management (EDM) standards are met.

Collaboration & Delivery Partnership

  • Partner with the Delivery Manager and Scrum Masters to keep core change and steady-state features refined, sequenced, and ready for delivery.

  • Work with data engineering and architecture teams to reduce technical debt, retire legacy patterns, and move business logic into the appropriate data layer.

  • Communicate roadmap, tradeoffs, dependencies, and progress toward AI-first adoption clearly to both technical teams and business/executive stakeholders.

  • Maintain strong working relationships across the organization, including Architecture, Governance, Platform Operations, and peer Product Managers.

What Success Looks Like:

Outcomes are defined to make goal-setting, Performance & Development Reviews (PDRs), and mid-year reviews straightforward:

  • Platform & Data Reliability — Core platforms and BAU feeds are stable, monitored, and consistently meet agreed data quality and availability standards.

  • Well-Aligned Data Models — Conformed and curated data models are proactively evolved to match current and emerging business use cases and data product outcomes.

  • Governed Layers — Clear, enforced separation of raw/silver/gold with metadata and lineage managed in Unity Catalog.

  • AI-First Progress — Measurable adoption of AI and automation within core change and steady-state workflows, in line with the organization's AI-first operating model.

  • Roadmap Health — A prioritized, transparent roadmap that balances new core change demand with the ongoing health of steady-state operations.

  • Stakeholder Trust — Strong, trust-based relationships with business stakeholders and engineering partners, evidenced by clear communication and reliable delivery.

Our Must Haves:

  • Minimum 5 years of experience as a Product Manager or Product Owner with a data platform, data engineering, or core data focus.

  • Property & Casualty (P&C) insurance industry experience.

  • Familiarity with data frameworks and methodologies, data warehousing concepts, governance, and data quality

  • Deep analytical skills and working knowledge of SQL and cloud data platforms, with the ability to independently query, investigate, and validate data.

  • Demonstrated ability to understand and evolve conformed and curated data models to best align them to business use cases and intended data product outcomes.

  • Experience defining platform or engineering-enablement roadmaps and translating technical needs into a prioritized backlog.

  • Strong verbal and written communication skills, with the ability to translate between technical and business audiences.

  • Experience working with cross-functional agile teams, facilitating consensus on scope, design, and prioritization decisions.

Our Nice to Haves:

  • Hands-on experience with cloud data and analytics platforms such as Databricks, BigQuery, or equivalent, and familiarity with data lineage and metadata management tools such as Unity Catalog or Dataplex.

  • Exposure to AI-first or AI-enabled data operating models, including use of AI/GenAI in the data product development lifecycle.

  • SAFe POPM, CSPO, or equivalent agile product management certification.

  • Experience with Objectives and Key Results (OKRs) and Organizational Change Management (OCM).

  • Experience working as part of a globally distributed team.

Hiscox Values:

At Hiscox our spirit is in Challenging Convention and everything we do is guided by our Values.

  • 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

What Hiscox USA Offers:

  • Competitive salary and bonus (based on personal & company performance) 

  • 401(k) with competitive company matching 

  • Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)  

  • Company paid group term life, short- term disability and long-term disability coverage 

  • 24 Paid time off days, 2 Hiscox Days, 10 paid holidays, and ability to purchase 5 PTO days 

  • Paid parental leave 

  • 4 week paid sabbatical after every 5 years of service 

  • Financial Adoption Assistance and 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 to support employees’ mental health and wellbeing 

  • Recipient of 2024 Cigna’s Well-Being Award for having a best-in-class health and wellness program 

  • Dynamic, creative and values-driven culture 

  • Modern and open office spaces, complimentary drinks 

**Please note that this position is hybrid and requires two (2) days in our office weekly**

Salary Range: $100-$130k

The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment

About Hiscox USA:

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. 


#LI-RM1


Work with amazing people and be part of a unique culture

Similar Jobs

12 Days Ago
Remote
US
159K-254K Annually
Senior level
159K-254K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Own and operate Toast’s enterprise data governance program, including data domain ownership, governance council coordination, policy compliance, business glossary management, metadata standards, catalog adoption, maturity assessments, and data literacy training. The role partners with business stakeholders, data stewards, catalog teams, and leadership to improve data trust, compliance, discoverability, and quality. It requires governance, metadata, SQL, data catalog, program management, and workshop facilitation experience.
Top Skills: AlationAtlanCcpaCloud Data WarehousesDama DmbokDatahubDbtGdprGreat ExpectationsMonte CarloSnowflakeSoc 2SQL
2 Days Ago
Remote
US
190K-225K Annually
Expert/Leader
190K-225K Annually
Expert/Leader
Enterprise Web
Own the strategy and roadmap for G2’s Data Solutions ecosystem, including APIs, MCP, integrations, partner capabilities, and developer surfaces. Drive revenue growth, customer adoption, partner expansion, integration migration, and platform reuse. Collaborate across Engineering, Data, Partnerships, Revenue, Customer Success, and Marketing while prototyping integrations and targeted code. Shape data offerings, packaging, delivery, and customer solutions for technical B2B audiences.
Top Skills: Agentic WorkflowsAPIsAuthenticationBatch Data DeliveryData ContractsDeveloper PortalsIntegration ArchitectureMcpReal-Time Data DeliverySemantic Data Access
2 Days Ago
Remote
United States
115K-149K Annually
Senior level
115K-149K Annually
Senior level
Analytics
Own the strategy, roadmap, and investment priorities for foundational agricultural data products, including pipelines, data models, APIs, and shared services. Partner with engineering, architecture, data science, and product teams to deliver scalable, governed, high-quality data capabilities. Prioritize initiatives based on customer and commercial value, define success metrics, resolve cross-team tradeoffs, and expand data support for analytics, predictive modeling, machine learning, and AI applications.
Top Skills: APIsArtificial IntelligenceCloud InfrastructureData GovernanceData LakesData ModelingData PipelinesData WarehousesEtl/EltGeospatial DataMachine Learning

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account