• Define and document business functions and processes. • Analyze the integration of business functions with technology. • Maintain a working knowledge of accounting, procurement, finance, or contract management. • Assist with business case development and business process reengineering. • Consult with management and personnel to identify, define, and document business needs and objectives, current operational procedures, problems, input and output requirements. • Recommend new processes that yield operational efficiencies. • Develop or assist with project work plans, project timelines. • Software testing and confirming adherence to acceptance criteria.

• Manage, mentor, and develop our current team of three geospatial professionals providing technical guidance, career development, and performance management. • Lead cross-functional collaboration with actuaries, data scientists, and consultants across all Milliman offices and practice areas. • Identify, qualify, and pursue new business opportunities for consulting and product sales in geospatial and climate analytics. • Lead and contribute to research and development (R&D) initiatives; write and publish thought leadership articles; present as a subject matter expert at industry conferences. • Lead and contribute to proposal development, client pitches, and contract negotiations for new and existing clients. • Serve as project and/or team lead for client engagements involving geospatial, climate, and catastrophe risk analysis—especially for large federal contracts (requiring U.S. citizenship and public trust clearance). • Assist Principal & GIS Consultant with the Milliman PinPoint API product, including advising on product operations and development as they relate to GIS data assets and processing. • Provide expert review and hands-on guidance for advanced spatial analysis, climate and catastrophe modeling, and integration of science into actuarial and financial analysis. • Oversee the acquisition, processing, and visualization of geospatial, climate, and other scientific data. • Ensure rigorous adherence to risk management and quality control standards.

• Partner with stakeholders to understand business needs and translate them into data, reporting, and analytics solutions • Design, develop, and deliver reports and dashboards to support operational performance, KPIs, and strategic decision-making • Analyze large and complex datasets to identify trends, insights, and opportunities for improvement • Create and maintain data models and reporting frameworks to enhance data quality and accessibility • Develop Tableau visualizations and dashboards to communicate insights in a clear and actionable way • Support ad hoc data requests, providing timely and accurate analysis to stakeholders • Identify and contribute to process improvements and system enhancements • Collaborate on cross-functional projects, supporting business initiatives and data-driven strategies • Ensure data integrity, accuracy, and consistency across systems and reports

• Lead the design of end-to-end analytics and business solutions that address complex challenges and align with organizational priorities • Conduct advanced requirements analysis, translating business needs into scalable, high-performing solutions • Partner with business and technical teams to design, validate, and implement solutions, ensuring alignment with strategy • Develop and deliver insightful reports and dashboards (e.g., Tableau) that drive data-informed decision-making • Define and standardize KPIs, metrics, and reporting frameworks to support operational and strategic goals • Ensure accuracy, usability, and alignment of analytics outputs with business objectives • Act as a trusted advisor to senior stakeholders, facilitating discussions and influencing key decisions • Lead and participate in workshops, strategic initiatives, and high-impact projects • Mentor and support junior analysts, promoting best practices in business analysis, data modelling, and reporting • Contribute to process improvement initiatives and strategic planning efforts • Define and document data requirements, mappings, and semantic models for analytics solutions • Collaborate with data teams to ensure data quality, integrity, and governance standards are upheld