
Engagement Manager
1 day ago
We are currently partnering with a leading global professional services firm specializing in business process management and analytics. Our client is seeking a highly skilled and experienced **Engagement Manager** within their thriving Insurance Domain.
**Role Information**:
- **Role Title**: Engagement Manager (Insurance Domain) (C2)
- **Next Level Progression**: C1 (Director equivalent - VP), Band D (Sr. Director - Sr. VP), Band D1 (Corp VP - Sr. VP)
- **Function**: Insurance Analytics
- **Area**: Data Analytics
- **Location**: Base location will be Brisbane (80%), with readiness to travel to Sydney and Melbourne (20%).
**Objective of the Role**:
Our client is seeking a dynamic and experienced Engagement Manager to lead client-facing data and analytics programs in the Insurance domain. This role combines consultative engagement, domain expertise, and project delivery leadership, acting as a strategic partner for clients in Australia. The individual will work closely with offshore analytics teams and global stakeholders to co-create solutions, ensure successful execution, and deliver measurable business outcomes across the insurance value chain.
**Key Accountabilities**:
Client Engagement | Relationship Management | Use Case Identification | Analytics Solutioning | Insurance Domain Expertise | Data-Driven Decision Making | Project Delivery | Program Management | Risk & Issue Management | Stakeholder Communication | Executive Reporting | Governance & Compliance | Cross-Functional Collaboration | Agile Delivery | Business Value Realization | Pre-Sales Support | Thought Leadership | Strategic Advisory | Data Modernization | AI/ML Use Cases | Domain-Led Consulting | Outcome-Based Delivery
**Key Responsibilities**:
- **Client Engagement & Advisory**:
- Focused on consultative engagement: Proactively engage to suggest and co-create solutions for relevant use cases, then collaborate with internal analytics stakeholders for execution.
- 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, and 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**:
- Possess a strong 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 Subject Matter Expert (SME) and trusted advisor on insurance analytics strategy, use case development, and data product design.
- **Collaboration & Stakeholder Management**:
- Liaise with cross-functional 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.
**Skills & Qualifications**:
- **Must-Have**:
- 10+ / 12+ years of experience, with 8+ years in Data & Analytics and a minimum of 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 Tableau, Python, SQL, and basic knowledge of the AWS suite.
- 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.
- Experience with Self-Service BI implementation in insurance.
- Exposure to GenAI or Agentic AI, LLMs.
- Experience from Infosys Consulting, Accenture Consulting, or Big4 firms.
**Educational Background**:
- Bachelor's or master’s degree in engineering, Business, Data Science, or a relate
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