CGM Data Product Owner

As a Data Product Owner for Chubb’s Chubb Global Markets business, you will play a critical role in shaping and executing the data strategy aligned with the Chubb Global Markets vision. You will serve as the essential bridge between business stakeholders and the data teams, prioritizing and managing the product backlog to deliver maximum business value through user-centric data products. 

You will have direct oversight of data analyst and / or business analysts who will assist in data-related tasks and analysis. You will report to EMEA Head of Data Transformation who is responsible for Data Governance and our portfolio of Data programs.

Key Responsibilities:

Defining Data Product Vision:

• Collaborate with Chubb Global Markets business teams, Chubb Global Markets Head of Transformation and Chubb Global Markets COO to translate Chubb Global Markets’ product vision into a coherent data product vision that supports business goals and analytics needs.
• Develop and share a clear roadmap that aligns data initiatives with business priorities, ensuring stakeholders are informed and engaged.
• Act as the voice of the customer and business users, advocating for their needs in the development of data products.
• Translate business requirements into actionable specifications for data features.

Execution & Delivery:

• Conduct feasibility work sessions to enabling a new/enhanced data product to market.
• Lead the processes to manage data product through lifecycle with focus on development, piloting, marketing/promoting, launching, managing and retirement.
• Comprehend and adhere to all data security policies and procedures. 
• Ensure data information is updated in enterprise data catalog including classification, lineage and metadata.
• Ensure execution of the project and delivery including weekly project reporting (financials, resource management, alignment with DE), define OKRs, support unblocking and ticket management.
• Manage Jira Epics & User Stories creation (fully described converting requirements into JIRA Epics and User Stories) along with Business Analyst and Data Analyst as appropriate.
• Onboarding new members providing Project overview.

Backlog Management:

• Prioritize features, data pipelines, and enhancements in the product backlog to maximize value delivery.
• Evaluate and prioritize the data product backlog based on business value, technical feasibility, and urgency to ensure timely delivery of high-impact features.

Collaboration:

• Foster collaboration within Project Team and business stakeholders to ensure alignment on requirements and outcomes, addressing any discrepancies promptly.
• Maintain a user-centric philosophy, focusing on the relevance and actionability of insights derived from data for various stakeholders, including Operations, Actuarial, and Underwriting teams.
• Work closely with the data analyst reporting to you, guiding them on data insights, analysis priorities, and ensuring that their findings align with overall product goals.

Value Realization:

• Drive key decisions that lead to the development of capabilities within the data product that maximize business benefits.
• Continuously assess product performance and iterate on features and improvements based on feedback and data analysis.

Qualifications:

• Bachelor’s degree in data science, Business Administration, Information Systems, or a related field.
• 3 years of experience in a product management role, particularly in data or analytics settings.
• Strong understanding of data analytics processes and data-driven decision-making.
• Proven experience working with technical teams and understanding software development and data engineering processes.

Skills:

• Excellent communication and stakeholder management skills, with the ability to translate complex concepts for various audiences.
• Familiarity with Agile/Scrum methodologies and experience using project management tools.
• Strong analytical skills with a focus on actionable insights and business outcomes.
• Ability to cultivate a user-centric approach in product development, ensuring data products meet user needs.
• Knowledge of the insurance industry is a plus, with an understanding of underwriting, actuarial work, or operational processes.