Distribution and Marketing Data Product Manager

Job Title :

Distribution and Marketing Data Product Manager

Division :

Beazley Shared Services - Data Management

Location :

Multiple Locations, US

Hybrid Role :

Yes (minimum 2 days in office per week)

Reports To :

Head of Data Products

Key Relationships :

Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders

About Beazley

Beazley is a global specialist insurance company with over 30 years of experience helping people, communities and businesses manage risk worldwide. Our products span cyber & tech, marine, healthcare, financial institutions and contingency, covering risks such as weather, film production or protection from deadly weapons. We foster a friendly, collaborative, diverse and inclusive environment with a flexible hybrid model.

Data @ Beazley

Our Data team supports Beazley's vision by :

Being bold through pioneering & championing an exciting vision of how people interact with data

Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies

Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently

Being the single source of truth for enterprise-wide reporting metrics and KPIs

Role Overview

Data is one of Beazley’s greatest assets and this role is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We seek a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. You will also help mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, embedding a culture of data excellence and innovation.

Key Responsibilities

Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.

Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.

Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.

Produce insights and key data trends that highlight business performance, ROI, efficiencies and game‑changing growth opportunities.

Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.

Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.

Represent the business in data governance discussions, escalating issues as appropriate.

Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.

Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.

Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.

Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.

Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.

Provide leadership, direction, development and support to direct reports (including offshore resources).

Essential Criteria

Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master’s degree preferred.

10+ years of experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services.

Experience working with data, building data models, and sharing insights.

Skills and Abilities

Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team’s goals, planning, performance and incentives that drive growth.

Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd’s, Retail and Wholesale markets preferred.

Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred.

Strong organization and communication skills with the ability to direct work, document requirements and present demos.

Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data.

Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth.

Knowledge and Experience

Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred.

Strong understanding of MDM and CRM systems and their use with Customer and Broker data.

Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling.

Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth / targeting and performance.

Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals / growth to help the Distribution Sales team focus on the best opportunities.

Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes.

Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles.

Experience in managing and manipulating large internal and external datasets.

Knowledge of relational and dimensional database structures, theories, principles, and practices.

Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast‑paced environment.

Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority.

The Rewards

The opportunity to connect and build long‑lasting professional relationships while advancing your career with a growing, dynamic organization.

Attractive base compensation and discretionary performance related bonus.

Competitively priced medical, dental and vision insurance.

Company paid life, and short‑ and long‑term disability insurance.

401(k) plan with 5% company match and immediate vesting.

22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs.

Up to $700 reimbursement for home office setup.

Free in‑office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance.

Up to 26 weeks of fully paid parental leave.

Up to 2.5 days paid annually for volunteering at a charity of your choice.

Flexible working policy, trusting our employees to do what works best for them and their teams.

Salary and Compensation

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.

EEO Statement

Beazley is an Equal Opportunity Employer. We celebrate a diverse workforce and are committed to creating an inclusive environment.

Apply Today

We encourage you to apply even if your experience does not perfectly align with every requirement and qualification. If you’re excited about this role but your experience doesn’t perfectly match every requirement, we invite you to apply anyway.

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