Insurance Analytics Leader
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We are seeking a seasoned professional to spearhead client-facing data and analytics programs in the Insurance domain.
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This role combines consultative engagement, domain expertise, and project delivery leadership, acting as a strategic partner for clients in Australia.
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The individual will work closely with global stakeholders to co-create solutions, ensure successful execution, and deliver measurable business outcomes across the insurance value chain.
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Key Responsibilities:
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* Focused on Consultative Engagement: Effective in proactive engagement, to suggest and cocreate solutions to relevant use cases and then work with internal stakeholders to execute.
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* Act as the primary interface for Insurance clients in Australia, developing strong executive-level relationships.
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* Understand client pain points, strategic goals, and use cases; shape data-driven solutions in collaboration with internal analytics teams.
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* Provide thought leadership and consultative guidance on analytics-led transformation within the Insurance domain (Motor, Home, Workers Compensation, Commercial, CTP).
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Project Delivery & Program Oversight:
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* Own the end-to-end delivery of data and analytics projects, including scoping, planning, execution, monitoring, and closure.
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* Ensure high-quality deliverables aligned with client expectations, timelines, budgets, and success metrics.
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* Drive agile delivery practices, manage delivery risks and issues, and enable transparent governance.
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Domain & Technical Leadership:
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* Understanding of business principles and the ability to align project goals with overall business objectives.
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* Leverage deep understanding of insurance processes (Claims or Contact Center Operations).
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* Translate business challenges into analytics solutions using advanced analytics, reporting, AI/ML, and data engineering.
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* Serve as a credible SME and trusted advisor on insurance analytics strategy, use case development, and data product design.
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Collaboration & Stakeholder Management:
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* Liaise with cross-functional teams including Analytics COEs, GenAI, Data Engineering, and Business Transformation.
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* Foster collaboration across geographies to enable global delivery with local context.
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* Manage senior stakeholder communication and reporting, ensuring alignment on goals and outcomes.
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Problem-solving and conflict resolution:
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* Ability to identify and resolve issues, manage conflicts, and find solutions that satisfy both the client and the company.
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Requirements:
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Must-Have:
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* 10+ /12+ years of experience, with 8+ years in Data & Analytics and (3yrs min) 5+ years focused on client-facing and delivery roles in the Insurance sector.
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* Strong experience in delivering analytics and AI/ML solutions across functions like claims, policy management, new business and broker performance.
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* Demonstrated consultative engagement skills – shaping and influencing analytics initiatives aligned to business strategy.
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* Experience in toolsets of Tableau, Python, SQL and AWS suite (basic knowledge)
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* Excellent interpersonal and communication skills, with a track record of building long-term client relationships.
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* Proficient in project management methodologies (Agile, Scrum, PMP a plus) with a strong delivery mindset.
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* Experience with Self-Service BI implementation in insurance.
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* Exposure to GenAI or Agentic AI, LLMs
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Bachelor's or master's degree in engineering, Business, Data Science, or a related field.
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