• Leads project and task execution and business development, specifically for work conducted for CMS and the CMS Innovation Center (CMMI). • Directs execution of large complex projects or portfolio of smaller projects; oversees the planning, design, and implementation of project procedures. • Provides senior subject matter expertise related to prescription drug prescribing, pricing, and rebate programs to delivery teams and/or proposal teams. • Leads proposal efforts including review of proposals for sound practices and techniques, briefings, and client relation/development activities. • Serves as industry expert for alternative payment models, value-based reimbursement, or Medicare payment policies, especially as they relate to prescription drug policies and pricing. • Effectively coaches and manages others to promote their development; sets developmental goals and measurements for staff. • Fosters an environment that values a wide range of perspectives, experiences, backgrounds, and individual strengths.

• Define and present comprehensive Dell solutions to customers, showcasing products and services, and assist sales staff in identifying potential applications to meet customer needs. • Conduct customer needs analysis and prepare detailed product specifications to support high-end product and solution sales. • Scope projects and coordinate internal specialists and cross-department activities. • Assist sellers in creating demand for products, leveraging a high degree of technical competency to engage with technical users and buyers. • Deliver high-impact presentations at client sites and support complex accounts. • Build and manage relationships with technical teams and IT leaders; assess and validate approaches to selling enterprise/client products and services. • Ensure operability of complex product and service configurations within customer environments. • Analyze and apply industry and market knowledge to articulate the value of solutions, including competitor strengths and vulnerabilities. • Collaborate with other sales engineers, leaders, and cross-functional technical groups to maintain consistency in approach and application across accounts. • Qualify complex sales opportunities, considering customer technical requirements, competition, decision-making processes, and funding. • Present proposed solution designs and business cases to customers, prospects, and senior management. • Understand and communicate the role of third-party partners and channels in delivering solutions.

• Drive original cybersecurity research initiatives aligned with our strategic objectives • Identify emerging security threats and develop innovative detection and prevention methodologies • Publish research findings through company blog posts, whitepapers, and other outlets • Present research at leading industry conferences and security events • Collaborate with engineering teams to integrate research findings into our product • Mentor junior researchers and foster a culture of exploration and innovation • Establish and maintain relationships with academic and industry research communities • Participate in customer-facing activities

• Own the technical direction for pricing ML. Define what to build and how. Set the roadmap for the pricing engine as a core piece of tem's IP — and be accountable for its performance. • Formulate and solve the pricing problem properly. The mathematical foundation doesn't fully exist yet. Your first job is to define it: a dynamic, real-time system that simultaneously optimises for signing probability, portfolio balance, and margin. Choose the right approach — stochastic programming, reinforcement learning, classical ML, or a hybrid — based on the problem, not familiarity. • Build and ship models end-to-end. Own the modelling and data layer. Write production-grade Python. Architect models with deployment in mind and carry them through to production — you can execute without being blocked by engineering dependencies. • Solve imbalance problems. Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. • Be the voice of pricing ML across the business. Commercial, product, and engineering teams depend on this engine. They need to understand what it's doing and why. You make that happen — clearly, without losing precision.