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CGM Data Product Owner

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Chubb

15d ago

  • Job
    Full-time
    Mid Level
  • Data
    Product
  • London

AI generated summary

  • You need a relevant degree, 3 years in product management for data/analytics, strong analytical and communication skills, and familiarity with Agile methodologies. Insurance industry knowledge is a plus.
  • You will define data product vision, manage product lifecycle, prioritize backlog, foster collaboration, drive value realization, and ensure alignment with business goals and analytics needs.

Requirements

  • 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.
  • 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.

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.

FAQs

What is the main responsibility of the CGM Data Product Owner?

The main responsibility of the CGM Data Product Owner is to shape and execute the data strategy for Chubb Global Markets, acting as a bridge between business stakeholders and data teams to prioritize and manage the product backlog for user-centric data products.

How many years of experience are required for this role?

The role requires a minimum of 3 years of experience in a product management position, preferably in data or analytics settings.

What educational qualifications are preferred for this role?

A Bachelor’s degree in data science, Business Administration, Information Systems, or a related field is preferred.

What methodologies should candidates be familiar with?

Candidates should be familiar with Agile/Scrum methodologies and have experience using project management tools.

Is knowledge of the insurance industry important for this position?

Yes, knowledge of the insurance industry is a plus, especially an understanding of underwriting, actuarial work, or operational processes.

What skills are emphasized for the CGM Data Product Owner role?

Key skills include excellent communication and stakeholder management abilities, strong analytical skills focused on actionable insights and business outcomes, and a user-centric approach in product development.

Who will the CGM Data Product Owner report to?

The CGM Data Product Owner will report to the EMEA Head of Data Transformation.

What kind of teams will the Data Product Owner collaborate with?

The Data Product Owner will collaborate with Chubb Global Markets business teams, the Head of Transformation, the COO, and technical teams involved in software development and data engineering.

What types of tasks will the Data Product Owner oversee?

The Data Product Owner will oversee tasks related to data product lifecycle management, backlog prioritization, feature enhancement evaluation, and collaboration with data analysts on data insights.

How does the Data Product Owner ensure data products meet user needs?

The Data Product Owner ensures data products meet user needs by maintaining a user-centric philosophy, prioritizing features based on business value, and advocating for the requirements of business users during product development.

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Chubb

The world's largest publicly traded property and casualty insurance company

Finance
Industry
10,001+
Employees
1882
Founded Year

Mission & Purpose

Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide.