Data Science Analytics Manager (P&C Insurance Domain)

Role & responsibilities

Client Engagement & Advisory

• Focused on Consultative engagement: Effective in proactive engagement, to suggest and cocreate solutions to relevant use cases and then work with internal WNS Analytics stakeholders to execute
• Act as the primary interface for Insurance clients in Australia, developing strong executive-level relationships.
• Understand client pain points, strategic goals, and use cases; shape data-driven solutions in collaboration with internal analytics teams.
• Provide thought leadership and consultative guidance on analytics-led transformation within the Insurance domain (Focus on P&C Motor, Home, Workers Compensation, Commercial, CTP). (excluding health, life, pet, travel)

Project Delivery & Program Oversight

• Own the end-to-end delivery of data and analytics projects, including scoping, planning, execution, monitoring, and closure.
• Ensure high-quality deliverables aligned with client expectations, timelines, budgets, and success metrics.
• Drive agile delivery practices, manage delivery risks and issues, and enable transparent governance.

Domain & Technical Leadership

• Understanding of business principles and the ability to align project goals with overall business objectives.
• Leverage deep understanding of insurance processes (Claims or Contact Center Operations).
• Translate business challenges into analytics solutions using advanced analytics, reporting, AI/ML, and data engineering.
• Serve as a credible SME and trusted advisor on insurance analytics strategy, use case development, and data product design.

Collaboration & Stakeholder Management

• Liaise with cross-functional WNS teams including Analytics COEs, GenAI, Data Engineering, and Business Transformation.
• Foster collaboration across geographies to enable global delivery with local context.
• Manage senior stakeholder communication and reporting, ensuring alignment on goals and outcomes.

Problem-solving and conflict resolution:

• Ability to identify and resolve issues, manage conflicts, and find solutions that satisfy both the client and the company.

Preferred candidate profile

Must-Have:

• 14+ 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.
• Strong experience in delivering analytics and AI/ML solutions across functions like claims, policy management, new business and broker performance.
• Demonstrated consultative engagement skills shaping and influencing analytics initiatives aligned to business strategy.
• Experience in toolsets of Python, SQL and AWS suite (basic knowledge), Data bricks.
• Excellent interpersonal and communication skills, with a track record of building long-term client relationships.

Desirable:

• Proficient in project management methodologies (Agile, Scrum, PMP a plus) with a strong delivery mindset.
• Exposure to GenAI or Agentic AI , LLMs