• Responsible for designing, standardizing, and governing end-to-end business processes across the organization. • Ensures processes are efficient, compliant, scalable, and aligned to enterprise optimization goals. • Translates optimization strategy into clear, executable, and measurable process designs. • Establishes standards that support consistent execution across teams and platforms. • Designs and documents end-to-end processes across claims, enrollment, customer service, utilization management, operations, and finance. • Develops current-state and target-state process models using standard methodologies (e.g., BPMN). • Defines process boundaries, handoffs, roles, controls, and decision points. • Establishes enterprise process standards, modeling conventions, and documentation requirements. • Maintains a centralized process repository and architecture artifacts. • Ensures processes align with regulatory, contractual, and audit requirements. • Partners with Business Optimization Architects to translate optimization initiatives into process designs. • Supports operational teams during implementation by clarifying process intent and design. • Provides guidance on process adoption, change impacts, and risk mitigation. • Identifies process inefficiencies, bottlenecks, and control gaps. • Supports process measurement by defining operational metrics and controls. • Incorporates feedback and performance results into ongoing process refinements. • Works closely with IT, data, compliance, and operations teams to ensure process designs are feasible and enforceable. • Supports technology enablement efforts by defining business process requirements.

• To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects • to design data modeling processes, create algorithms, and predictive models • and to share insights that inform and enable business decisions • Builds, prototypes, and deploys machine learning models in production environments • Collaborates with product, technology, and other stakeholders to identify and scope data science projects • Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders • Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources • Explores new internal and external data sources and assesses their commercial benefit • Mentors team members and serves as a subject matter expert in cross-functional discussions

• Serve as the security architect for AWS-hosted public applications, setting standards for edge security, identity, segmentation, observability, and resilient application design. • Influence enterprise cloud strategy by balancing security, scalability, developer experience, and operational efficiency across public-facing application environments. • Collaborate with cloud architects and DevOps teams to identify and remediate cloud misconfigurations, enforce security policies, and maintain secure cloud infrastructure for hosting web applications. • Develop strategies to implement Web Application Firewalls (WAF), Cloud Native Application Protection Platforms (CNAPP) and Cloud Security Posture Management (CSPM) tools and integrate into the organization's security framework. • Evaluate emerging AWS services and security capabilities, translating them into practical design patterns and governance controls for internet-exposed platforms. • Establish application development security guidelines and best practices utilizing industry-standard security frameworks. • Define, document and enforce clear guidelines for secure coding, vulnerability management, incident response, and application security. • Act as the Subject Matter Expert (SME) in application security during enterprise project development phases, providing security consulting, recommendations, and ensuring adherence to approved security requirements. • Collaborate with developers and software teams to embed security at every stage of the SDLC. • Identify, prioritize, and devise mitigation strategies for application security vulnerabilities, implementing preventative measures to avoid future incidents. • Integrate security tools, processes, and automation into the DevOps pipeline to enhance efficiency and scalability (DevSecOps). • Develop robust security requirements for authentication and authorization, including credential storage, privilege management, and adherence to role- and attribute-based access control standards. • Regularly monitor the security community for public-facing vulnerabilities, emerging threats, and new tactics to secure data transmissions and reduce attack exposure. • Stay updated on the latest security trends, tools, and technologies. • Attend and actively participate in application projects, change management meetings, and cross-functional discussions to ensure security is integrated from the outset. • Align with architects and development teams to promote secure design and data integrity preservation across users, applications, and infrastructure. • Foster the growth of application security champions within development teams to build a culture of security awareness and accountability. • Lead and participate in security team meetings to facilitate secure design and development practices. • Develop strong relationships with stakeholders to ensure ongoing commitment to security initiatives. • Actively engage in information security projects to evaluate existing security infrastructure and proposed changes, as defined by security leadership and software architects.

• Create detailed architectural floor plans, elevations, and construction drawing sets based on project specifications. • Develop accurate 2D and 3D CAD drawings for architectural and engineering applications. • Prepare precise Geometric Dimensioning and Tolerancing (GD&T) annotations for technical and manufacturing documentation. • Produce, review, and annotate multi-sheet electrical schematics in accordance with industry standards. • Design, evaluate, and review PCB layouts while ensuring manufacturability and design accuracy where applicable. • Collaborate with project teams to clarify technical requirements and resolve documentation-related questions. • Deliver complete, well-organized documentation packages that meet project milestones and quality expectations. • Contribute subject matter expertise to improve AI training datasets through accurate technical documentation and structured feedback.