• Project Planning: Develop comprehensive project plans for life and annuity projects, including scope, timelines, resources, and budgets. Define project objectives and deliverables. Developing and maintaining the project plans using the project work breakdown structures, product backlogs, sprint backlogs, project and program charters, scope definition, schedules, resource requirements. • Product Knowledge: Leverage expertise in life insurance and annuity products to guide project requirements, design, and implementation. • Resource Management: Manages cross-functional team members and subject matter experts, including definition of objectives, oversight of execution and evaluation of performance. • Stakeholder Communication: Serve as the primary point of contact for stakeholders, including internal teams, clients, and vendors. Provide regular updates on project status and address any issues. • Regulatory Compliance: Ensure all projects adhere to industry regulations, standards, and company policies. • Risk Management: Identify potential risks specific to life and annuity projects and develop strategies to mitigate them. • Budget Management: Monitor and manage project budgets, ensuring cost-effectiveness and alignment with financial goals. • Quality Assurance: Oversee the quality of project deliverables to ensure they meet industry standards and client expectations. • Documentation: Maintain detailed project documentation, including plans, reports, and change requests. • Team Leadership: Lead and motivate project teams, ensuring alignment with project goals and fostering a collaborative work environment. Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients’ success. • Problem Solving: Address and resolve project-related issues and challenges in a timely and effective manner. • As part of their expanded responsibilities, the Project Manager will lead the implementation of AI initiatives aligned with business objectives. This includes identifying opportunities for AI-driven automation and analytics within ongoing projects, collaborating with data science and engineering teams, and ensuring AI solutions are integrated seamlessly into existing platforms and workflows such as LifePRO, LDS, portals, and operations systems. By embedding AI delivery into project execution, the PM plays a key role in accelerating digital transformation, improving efficiency, and delivering measurable business value.