• knowledge of managed care contracting language, requirements, and methods to support the development and maintenance of contract compliance • contract language review and contract analysis • strong analytical mind, with problem-solving skills, an aptitude for accuracy, and attention to detail • knowledgeable about the managed care environment, including capitation, PPO, HMO, IPA, ACO, fee for service and value base agreements • Experience in successful operationalizing managed care contracts

• Serve as the lead clinical strategist for employer and consultant teams, shaping pharmacy and specialty benefit design to balance access, outcomes, and cost. • Provide deep clinical expertise across therapeutic areas (oncology, inflammatory, rare disease, cardiometabolic, etc.) to guide plan decisions and formulary optimization. • Support PBM contract evaluation and vendor selection, ensuring clinical alignment with rebate structures, utilization management, and performance guarantees. • Design and implement innovative clinical and cost-containment programs, including specialty carve-outs, GLP-1 management, and value-based contracting models. • Translate clinical data into financial impact models demonstrating ROI, total-cost-of-care savings, and MLR improvement. • Partner with actuaries, analytics, and finance teams to develop evidence-based recommendations for benefit design and specialty program oversight. • Author executive-level insights, client deliverables, and thought leadership to advance RSC’s market leadership in pharmacy consulting. • Mentor internal consulting teams to elevate clinical depth across the practice.

• Support senior captive consultants and managing directors in servicing existing captive clients, including preparation of financial analyses, presentations, and client deliverables. • Participate in client meetings, calls, and presentations, with increasing responsibility over time for discrete workstreams and client interaction. • Assist in assessing client risk profiles and alternative risk financing strategies, including captive feasibility and optimization opportunities. • Prepare and support captive feasibility studies, including financial modeling, funding analyses, and scenario evaluation. • Review and interpret captive financial statements prepared by Brown & Brown, external actuaries, and auditors. • Assist with premium cash flow analysis, loss run evaluation, reinsurance structures, and capital adequacy considerations. • Maintain accuracy and organization of financial models, working papers, and supporting documentation for senior‑level review. • Support research and analysis of captive domicile requirements, regulatory frameworks, and governance structures across U.S. and offshore domiciles. • Assist with preparation for regulatory filings, audits, and examinations, under the direction of senior team members. • Develop working knowledge of major U.S. domiciles and offshore domiciles, with exposure to additional international jurisdictions over time. • Develop an understanding of large‑account insurance programs across multiple lines of business and industries. • Build foundational knowledge of insurance brokerage operations and how captives integrate into broader risk and insurance programs. • Provide internal and external education on captive insurance concepts as appropriate to experience level. • Support new business initiatives, including preparation of prospect materials, pitch decks, and support for proposals. • Assist in identifying opportunities to expand or enhance existing captive programs. • Actively participate in training, mentorship, and professional development activities to build captive and alternative risk expertise. • Collaborate effectively with internal teams, including actuaries, auditors, account managers, and producers. • Manage multiple priorities and deadlines in a fast‑paced consulting environment. • Perform other duties as assigned to support the captive practice.

• Join a team of passionate Data Cloud & AI technologists who help deliver end to end technology solutions for our customers • Build data pipelines, data warehousing, Machine Learning and AI and visualisation • Work in a small team with a broad range of responsibilities and projects