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Product Owner

Sydney NSW

Permanent

$160k + Super

About this role:
  • Leading Insurtech in Sydney

  • Insurance SaaS platform

  • Hybrid / highly flexible

This well-established Insurtech works with Australia’s leading financial institutions to provide them with software solutions that help them adapt to their customers needs.  They are passionate about their innovative software, believing in using cutting edge technologies to ensure they are pushing the boundaries and doing things the best way.  

Responsibilities:
  • Provide strategic input and planning for ongoing development of the data foundation.

  • Plan changes to data design frameworks and standards to ensure quality data services and collaborate with architecture and data platform teams for necessary architectural changes.

  • Lead the design of data assets for the DAP data foundation and specific projects within assigned value streams.

  • Maintain and enhance data design standards and methodologies to meet evolving data service requirements.

  • Oversee data design across all value stream chapters such as Claims and Underwriting.

  • Provide inputs for platform/application enhancements to meet data service requirements.

Requirements:
  • Proven experience in leading data modeling for complex data warehouse and data lake environments.

  • Advanced communication skills, capable of articulating, presenting, influencing, and negotiating with key stakeholders.

  • Knowledge of the end-to-end data engineering lifecycle and data quality management.

  • Experience in data design and architecture in complex enterprise data warehouse and lake environments.

  • Thought leadership in designing and delivering data products in complex environments.

  • Experience in leading design for a new cloud data platform and migrating from legacy platforms.

  • Proficient in cloud data analytics technologies such as Databricks and Azure ADF.

  • Solid experience using MS Stack: Microsoft SQL Server, SSIS, SSRS, SSAS, Power BI, and SQL.

  • Familiarity with MongoDB, Graph databases, programming languages (R, Python, Spark ETL SQL VStudio), CI/tools (Bamboo, or similar), GitHub, Jira, and Confluence.

  • Experience in data modeling in data warehousing/lake environments and use of tools like ERWIN.

  • Strong stakeholder management, communication, planning, and execution skills.

  • Demonstrated experience in leading teams of data design experts.

  • Passion for learning about new data tools and best practices.

  • Experience in working in Agile teams, capable of leading a team and working independently.

  • Strong working knowledge of the end-to-end data management lifecycle and data quality management.

  • Experience in the financial services industry.

Benefits:
  • Competitive salaries and bonus structures

  • Hybrid working options for flexibility

  • Generous leave allowances and parental leave

  • Equal Opportunities Employer

  • Award-winning employer - ask for more information about their Employer Value Proposition

Does this sound like you?

Apply today!

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