Your new role:
Lead Development of Advanced Analytics, BI & Data Science Use Cases: Collaborate with internal business customers, Analytics leads, and partners to design and deliver solutions that combine BI, AI, and data science for strategic impact.
Drive Modernization with AI, BI & Data Science: Champion the adoption of advanced analytical techniques, AI-powered BI tools, and machine learning models to enhance decision-making and operational efficiency.
Identify High-Value Opportunities: Proactively uncover new business challenges and prototype AI-enabled BI and data science solutions that demonstrate measurable business value.
Bridge Business and Analytics: Act as a translator between business needs and technical solutions, ensuring clarity and alignment across stakeholders.
Data Integration & Insight Generation: Source, integrate, and explore data from multiple systems; apply AI-driven BI and data science techniques to discover trends, relationships, and actionable insights; validate models and connect results to business decisions.
Develop BI Platforms & Predictive Dashboards: Oversee the creation of interactive dashboards and reporting frameworks that leverage AI and predictive analytics for forward-looking insights.
Foster Collaboration & Inclusion: Build strong team relationships, encourage knowledge sharing, and promote diverse perspectives to drive innovation in BI, AI, and data science.
Ensure Compliance & Governance: Maintain adherence to organizational policies, data governance standards, and relevant legislation.
Invest in Talent Development: Take ownership of career growth for self and team members, with a focus on upskilling in BI, AI, and data science technologies.
Strengthen Partnerships: Build strong relationships with business stakeholders and enhance collaboration with offshore teams to scale BI, AI, and data science capabilities globally.
About you:
Significant data management experience within the financial services sector, preferably in general insurance
Track record of implementing impactful models that drive sustained business results
Experience in Big Data Technology including Hadoop, NoSQL DB, Spark, and Parquet
Ability to derive meaningful insights from large structured and unstructured datasets
Proficiency in analytics using tools like R, Python, and Spark.
Collaborative experience in programming projects and project architecture management
Familiarity with working in a Linux environment.
Skill in presenting complex analytics solutions to diverse audiences
Proven track record of delivering successful projects in an agile work setting
Tertiary Degree or equivalent combination of education and work experience
Skills:
Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought LeadershipHow to Apply:
To submit your application, click "Apply" and follow the step by step process.
Equal Employment Opportunity:
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Similar Jobs
What We Do
QBE Insurance Group is one of the world's top 20 general insurance and reinsurance companies, with operations in all the key insurance markets. QBE is listed on the Australian Securities Exchange and is headquartered in Sydney. We employ more than 11,000 people in 27 countries.
