Data Product Manager

About the role

Join Aon Affinity as a Data Product Manager and help shape the future of data, analytics, AI, and decision-making across the business!

This role can be based virtually or in a hybrid office setting, depending on location and business needs, offering flexibility aligned with Aon's Smart Working policy.

Responsibilities

• Define and manage enterprise data product roadmaps, priorities, and investment decisions aligned to business goals and domain strategies.
• Partner with leaders across Growth & Distribution, Payments, Servicing, Claims, and other business areas to identify data opportunities, business requirements, and measurable outcomes.
• Translate business needs into scalable, reusable data products including curated datasets, data services, APIs, semantic models, reporting foundations, and AI-ready data assets.
• Provide day-to-day direction, prioritization, and coaching to Data Analysts and Product Analysts while connecting discovery, analytics, and engineering delivery through a shared roadmap.
• Collaborate closely with Data Engineering, Architecture, Security, and Technology teams to deliver secure, governed, and scalable data solutions.
• Drive data quality, governance, metadata, lineage, privacy, and stewardship practices that build trusted enterprise data assets.
• Enable analytics, business intelligence, machine learning, generative AI, and intelligent automation through strong data foundations.
• Measure adoption, business outcomes, utilization, and return on investment while continuously improving enterprise data products and capabilities.

Qualifications

• 5+ years of experience in Product Management, Data Product Management, Analytics, Business Intelligence, Data Strategy, or a related discipline, with demonstrated ownership of products, platforms, or business capabilities throughout their lifecycle.
• Strong experience translating business problems into product requirements, roadmaps, priorities, and measurable outcomes while working within Agile or product-led environments.
• Working knowledge of modern data ecosystems, enterprise data concepts, analytics platforms, data products, APIs, semantic models, SQL, and Python (or similar analytical programming languages).
• Proven ability to lead cross-functional initiatives, influence stakeholders, facilitate discovery sessions, and provide direction and coaching to analysts and business contributors.
• Experience supporting data governance, data quality, analytics, AI/ML initiatives, or enterprise data capabilities, preferably within insurance, financial services, brokerage, or other regulated industries.

Skills

• Bachelor’s degree or equivalent experience in a quantitative field (such as Data Science, Computer Science, Mathematics, Statistics, or similar).