Fiduciary Data Product Leader

National African-American Insurance Association (NAAIA); Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A global insurance broker is seeking a Data Product Manager to lead data-driven solutions for the Fiduciary Value Stream. The role requires strong communication and collaboration skills, plus substantial data knowledge. Responsibilities include product ownership, stakeholder management, delivery execution, and ensuring data quality. Candidates should have over 10 years of experience in data management and a relevant degree. This position offers hybrid work flexibility in Greater London, driving significant business value through effective data solutions.

Benefits

Hybrid work environment

Professional development opportunities

Diverse and inclusive workplace

Qualifications

• 10+ years of experience in data management or governance.
• Experience as a Data Product Owner or Manager in a Digital Products Organization.
• Strong understanding of the end-to-end invoicing process.

Responsibilities

• Define and communicate the product vision and strategy for data solutions.
• Collaborate with stakeholders to identify data needs and opportunities.
• Drive end-to-end delivery of data solutions from requirements to adoption.

Skills

Data analysis

Project management

Stakeholder management

Agile methodologies

Communication skills

Education

Bachelor's or master's degree in a relevant field

Tools

Data visualization tools

BI tools

Job description

A global insurance broker is seeking a Data Product Manager to lead data-driven solutions for the Fiduciary Value Stream. The role requires strong communication and collaboration skills, plus substantial data knowledge. Responsibilities include product ownership, stakeholder management, delivery execution, and ensuring data quality. Candidates should have over 10 years of experience in data management and a relevant degree. This position offers hybrid work flexibility in Greater London, driving significant business value through effective data solutions.