Data Capability Transformation Lead

2 days ago


Singapore CHUBB Full time

The Data Capability Transformation Lead at Chubb is responsible for creating and shaping the vision and roadmap for critical data and analytics products. This role prioritizes needs for business departments, focusing on customer impact and business value, to deliver Chubb's data and digital transformations.

As an expert in data-driven insights and analytics for business growth and performance improvement, the Data Capability Transformation Lead drives the capability modeling and design of end-to-end data and analytics products. This role acts as the conduit to translate business processes, requirements, and outcomes into technical solutions.

With a strong product ownership mindset and representing the voice of the customer, the role ensures product success by enabling adoption, monitoring usage, capturing user feedback, and driving continuous improvement.

Experienced in Scaled Agile ways of working, the Data Capability Transformation Lead collaborates with domain leads, squad members, and product owners across business, data, and technology teams to design, build, deploy, and run data and analytics products. This role also interfaces with department leaders across different digital transformation teams to ensure overall alignment.

Key Responsibilities:

  • Develop and continuously improve the data capability framework, including business process mapping, data models, data marts, and data visualization dashboards.
  • Plan and update the data roadmap based on upcoming data needs for prioritized data products.
  • Understand the business strategy and ensure it is reflected in quarterly plans, epics, user stories, and other data work items.
  • Measure end-to-end business processes, identifying business value drivers and KPIs that measure operational effectiveness and business outcomes.
  • Harness and draw insights from large data sets, identify patterns, and interpret trends across multiple journey-based business domains.
  • Accountable for E2E data solutions.
  • Prioritize backlog for Data squads' delivery.
  • Cross-domain and cross-squad alignment and dependency mapping.
  • Ensure adequate documentation is available.
  • Develop and lead training and education in effective use of data products and related services.
  • Mature data capabilities within segment/domain holistically (data availability, reporting assets, other tooling capabilities).
  • Collaborate with analytics and engineering organizations to scale and industrialize advanced value chain intelligence functions.
  • Comprehend and adhere to all data security policies and procedures.


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