Software Product Manager – Data & Analytics
Location: United States – Remote
Employment Type: Full-Time
Industry: Specialty Insurance / Reinsurance
About the Organization
Our client is a growing specialty insurance and reinsurance organization focused on leveraging data, analytics, and technology to identify business opportunities, assess risk, and support informed decision-making. The organization operates across the United States and Bermuda and offers a flexible remote work environment.
About the Role
The Software Product Manager will join the Data and Analytics team, responsible for managing software products and data assets that support business objectives across the organization.
This individual will work closely with the Chief Data Officer, Finance, Accounting, Data Engineering, and business stakeholders to translate business needs into scalable software and data solutions.
The ideal candidate will bring a combination of software product management, General Ledger (GL), financial systems, and data technology experience, with exposure to modern data platforms and transformation tools such as Snowflake, SQL, and dbt.
Key Responsibilities
Product Strategy & Lifecycle Management
- Drive the complete software product lifecycle, including discovery, requirements gathering, roadmap development, execution, testing, and launch.
- Define product vision, strategy, roadmaps, priorities, and delivery milestones.
- Translate business needs into detailed product requirements, user stories, and acceptance criteria.
- Manage production timelines, dependencies, risks, and deliverables across multiple departments.
Finance & General Ledger
- Work closely with Finance and Accounting teams to understand GL processes, financial reporting requirements, and business workflows.
- Manage products and data assets supporting financial reporting, accounting operations, reconciliations, and analytics.
- Ensure financial data requirements are accurately translated into technical solutions.
- Support improvements in financial data accuracy, accessibility, consistency, and reliability.
Data & Technology
- Collaborate with Data Engineering teams on data products, data pipelines, integrations, and transformation workflows.
- Work with modern data platforms such as Snowflake and demonstrate a strong understanding of SQL.
- Understand or have experience with dbt (Data Build Tool) for data transformation, modeling, and testing.
- Support data integration and transformation initiatives involving tools such as Fivetran, Airbyte, Informatica, Qlik Replicate, or similar technologies.
- Promote data quality, validation, governance, and reliable reporting practices.
Stakeholder & Delivery Management
- Collaborate with end users, engineering, UX, QA, Finance, and other cross-functional teams.
- Apply Agile principles and best practices throughout product development.
- Communicate project progress, risks, and dependencies to relevant stakeholders.
- Define, measure, and monitor product success metrics and identify opportunities for continuous improvement.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Finance, or a related field, or equivalent professional experience.
- At least 5 years of experience in Software Product Management, Technical Product Management, or Data Product Management.
- Strong experience with General Ledger (GL), Accounting, Finance, or Financial Systems.
- Experience managing the full software product development lifecycle.
- Working knowledge or hands-on experience with SQL and Snowflake.
- Exposure to or experience with dbt, data transformation, and data modeling.
- Understanding of data pipelines, data integration, and analytics workflows.
- Proven ability to translate business requirements into technical product specifications.
- Strong cross-functional stakeholder management and communication skills.
- Experience working with Agile/Scrum methodologies.
Preferred Qualifications
- Experience in specialty insurance, P&C insurance, InsurTech, or reinsurance.
- Experience managing financial data products, accounting platforms, or enterprise data solutions.
- Experience with dbt Core, dbt Cloud, or similar data transformation technologies.
- Familiarity with Fivetran, Airbyte, Informatica, Qlik Replicate, or similar data integration tools.
- Exposure to data orchestration tools such as Airflow or Dagster.
- Experience with data visualization platforms such as Power BI, Tableau, or Looker.
- Experience collaborating with data engineers and analytics teams to deliver enterprise data solutions.