The Personal Lines (PL) Hub Leader contributes to Personal Lines strategy, integrates into the PL senior leadership team, leads both people and business initiatives, and tracks performance outcomes. This role enhances subject matter expertise, identifies skill gaps, facilitates mentorship, conducts performance reviews, and promotes knowledge-sharing. The PL Hub Leader focuses on collaboration, process improvement, and skill development within PL functions. They recruit, assess, and select top talent, ensuring smooth integration and empowering team members. The PL Hub Leader works closely with HR Business Partners on strategic workforce planning to create / redesign job descriptions, understand demand and prioritize hiring needs. They establish and implement strategic initiatives to achieve profitable growth, surplus objectives, business operating targets, and optimal org design.

Responsibilities include product management, actuarial, transformation, customer experience, business support services, and underwriting and collaboration with heads of critical functions such as Head of Distribution, PL IT, and PL Finance to achieve results.

Data Governance & Analytics:

• Develop and implement data analytics strategies to improve operational efficiency, identify trends, and make data-driven decisions.
• Leverage data analytics to improve risk management, underwriting, processing, and other operational areas.
• Identify and implement new data sources, analytics tools, and methodologies to enhance data-driven decision-making.
• Provide insights and recommendations to leadership based on data analysis.

Digital Transformation:

• Lead digital transformation initiatives to improve customer experience, automate processes, and enhance operational capabilities.
• Identify and implement new digital technologies and tools to improve efficiency and effectiveness.
• Develop and execute digital transformation roadmaps, ensuring alignment with business objectives.
• Collaborate with technology teams to ensure the successful implementation of digital transformation initiatives.
• Provide training and support teams for adapting to new processes, technologies, and methodologies.
• Monitor and evaluate the impact of changes, ensuring continuous improvement and alignment with organizational objectives.

Leadership and Collaboration:

• As the Personal Lines Hub Leader and member of the PL Leadership Team, this role is responsible for participating and implementing PL’s business strategy.
• Provide subject matter expertise to PL leaders in their functional area, staying up to date with best practices, technologies, and market trends.
• Collaborate with cross-functional teams, including Product, Actuary, Analytics, Underwriting, Distribution, IT, and Finance.
• Represent the organization to external stakeholders, including clients, partners, and regulators.
• Develop and implement training programs to ensure staff are equipped to handle new technologies and processes.
• Identify skill development needs, areas of improvement, and skill gaps within team members, and facilitate mentorship and learning opportunities to improve their skills.
• Ensure that new hires are seamlessly integrated into the team and culture.
• Act as a “talent magnet” in the markets, universities, and internally. The PL Hub Leader plays a critical role in recruiting for positions within their job families and areas of expertise, assessing technical and domain-specific skills.
• Lead by example, conduct performance reviews in partnership with BI leaders, provide constructive feedback, and help FBS hub members grow their careers.
• Acts as a representative for any PL FBS needs, escalations, development and support.

Key Responsibilities:

• Data Governance & Analytics
• Digital Transformation
• Leadership and Collaboration

Requirements:

• Extensive experience in senior leadership roles within commercial insurance operations, data analytics, and transformation across multiple entities and geographies, with a strong focus on change management.
• Proven ability to recruit, assess, and hire top talent for both individual roles and group functions.
• Demonstrated experience in leading high-level initiatives and assignments.
• Skilled in contributing to business strategies and roadmap planning.
• Strong performance management skills, including conducting performance reviews and providing constructive feedback.
• Proven track record of integrating new hires and fostering high-performance team cultures.
• Experienced in promoting knowledge sharing and best practice.
• Insurance (P&C/Personal Lines) background experience is required
• Fluent in English

Benefits:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Paid Time Off
• Training & Development opportunities in partnership with renowned companies

XML job scraping automation by YubHub

Your responsibilities will include:

• Technical Delivery and Implementation: Own the end-to-end technical delivery of AI solutions, including writing code, configuring systems, and resolving issues, while reviewing the work of junior team members to ensure quality deployment and measurable business impact.

• AI Solution Development: Take ownership of designing and implementing scalable production systems, including AI and Large Language Model (LLM) based intelligent agents and automated workflows built on the Salesforce platform.

• Custom Agentic AI Engineering: Work directly with stakeholders to design and build custom intelligent agents using the Elastic Agent Builder platform, ensuring solutions meet unique business requirements and integrate smoothly with existing tool ecosystems.

• Data Configuration and Integration: Own the full data lifecycle, from data model design to building efficient processing pipelines and establishing integration strategies. Ensure data is optimized and secure for AI applications, including in complex enterprise environments.

• Technical Problem Solving: Identify, analyze, and resolve technical challenges across all phases of solution delivery, from data integration to model deployment and agent orchestration. Serve as a reliable resource for unblocking progress.

• Agentic Innovation: Develop expertise in the Elastic platform, pushing its capabilities forward. Lead the development of custom intelligent agents, automate business processes, and shape user experiences. Insights from the field will directly influence product enhancements and platform direction.

• Client Partnership: Embed with client teams to understand their operational challenges and goals. Translate requirements into clear technical designs, build strong relationships, and serve as a trusted technical advisor.

• Debugging and Root Cause Analysis: Perform thorough analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance and prevent recurring issues.

• Prototyping and Iteration: Rapidly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement.

• Engineering Best Practices: Apply and promote standards for code quality, scalability, security, and maintainability across all deployed solutions.

Requirements include:

• At least 5 years' experience in a hands-on, end-to-end delivery role for scalable production solutions in a professional environment

• Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python)

• Extensive experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and agentic frameworks

• Deep expertise in data modeling, processing, integration, and analytics, with proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)

• Strong collaboration, communication, and presentation skills, both written and verbal, with the ability to explain complex technical concepts to technical and non-technical partners

• Track record of leading technical engagements, mentoring junior team members, and taking responsibility for technical aspects of projects

This role is eligible to participate in Elastic's stock program and has a competitive salary range of $94,300-$149,200 USD, with an alternate range of $113,300-$179,200 USD in select locations.

XML job scraping automation by YubHub