• Lead the design, implementation, and modernization of enterprise Privileged Access Management (PAM) solutions for federal and regulated environments. • Develop CyberArk architecture blueprints, deployment models, integration patterns, and technical roadmaps. • Lead CyberArk implementations, upgrades, migrations, and enhancements across large-scale federal or regulated environments. • Configure and support CyberArk components such as: • Enterprise Password Vault • Privileged Session Manager • Central Policy Manager • Privileged Threat Analytics • Endpoint Privilege Manager • CyberArk Identity / Workforce Identity • Secrets Manager / Conjur • Integrate CyberArk with enterprise identity providers, cloud platforms, SIEM tools, ITSM systems, and CI/CD pipelines. • Support integration with technologies such as Active Directory, Entra ID/Azure AD, Okta, AWS, Azure, ServiceNow, Splunk, Jenkins, GitLab, and similar enterprise platforms. • Translate business, security, and compliance requirements into secure technical designs. • Ensure PAM solutions align with federal security frameworks, including Zero Trust, FedRAMP, NIST SP 800-53, FISMA, and agency-specific security policies. • Define privileged access policies, onboarding standards, credential rotation requirements, and session monitoring approaches. • Lead technical workshops, design reviews, solution demonstrations, and stakeholder briefings. • Provide technical leadership to engineers, administrators, and implementation teams. • Identify risks, dependencies, technical gaps, and opportunities for automation and process improvement. • Support documentation development, including architecture diagrams, implementation plans, operational procedures, and security control mappings. • Assist with compliance assessments, audits, and security authorization activities as needed. • Serve as a trusted advisor to customers, program leadership, and security stakeholders on PAM strategy and CyberArk best practices.

• Own the professional services lifecycle: scoping, implementation, testing, rollout, training, documentation, and final sign-off. • Architect and build solutions that maximize the value Mogli SMS delivers to clients within their unique constraints. • Act as a source of continuity from onboarding through delivery, ensuring a smooth handoff from Sales/SEs. • Manage project timelines and budgets, delivering high-quality solutions on time and on budget. • Drive end-user adoption through training, change management, and enablement strategies. • Adhere to internal processes for time tracking, project management, and knowledge management. • Serve as the subject matter expert on Mogli’s technical capabilities, advanced configurations, and integrations. • Ensure solutions follow Salesforce best practices for scalability, security, and maintainability. • Provide structured feedback to Product, Support, and Customer Success to inform the roadmap and address recurring issues. • Assist with research and development of new product features, innovations, and integrations. • Build and manage product extensions (add-on packages) to provide scalable, profitable revenue streams. • Collaborate with Account Managers and Technical Support to ensure measurable client outcomes that support renewal and expansion. • Support partners during implementation as needed to ensure high-quality joint delivery. • Step in to troubleshoot and resolve advanced, complex technical issues for clients or partners.

• Measure and ensure operational success of the Digital Platforms’ applications and ancillary systems. • Support the DPE (Data Platforms & Engineering) systems and its stakeholders (Marketing, Insights & Analytics) around subscriber acquisition, campaign, storefront (Apple, Google), and data sets. • Create database schemas, and develop stored procedures, functions, views, and triggers. • Optimize and tune reporting queries for desired performance. • Create real time dashboards and reports for platform observance to support the client development and backend services teams to ensure 100% systems uptime. • Aggregate data from multiple sources to establish a robust reporting platform of operational, subscriber, and MarTec efforts. • Collaborate with internal and external teams in analyzing data in the video production and customer buy flow spaces to assure data quality. • Collaborate on KPIs for the Digital Platforms and Data Engineering teams. • Provide executives and management with requested reports. • Work closely with the functional departments to maintain an in-depth knowledge of the business and new features to grow future data road map initiatives. • Resolve technical issues, log problems, and educate peer engineers. • Escalate related matters to appropriate departments. • Support Customer Care and Application Engineers in providing data to aid in troubleshooting of issues and user information. • Give recommendations and implement ideas to improve and ensure data reliability, efficiency, and quality. • Employ sophisticated analytics, statistical methods, and data models to prepare data for use in predictive and prescriptive modeling. • Explore and examine data to find hidden patterns. • Discover opportunities for new data acquisition. • Mentor team members across the organization on data products (Analysts, Developers, QA, Jr. Engineers). • Establish processes and create documentation for accessing data and systems. • Confirm legal, compliance, and Personally identifiable information (PII) protections are in place.

• Own technical onboarding for market makers and institutional partners end to end, from first API call to live trading, across our CLOB, WebSocket feeds, and RFQ gateway. • Serve as the primary technical contact post-onboarding, triaging issues, debugging integrations in production, and coordinating with engineering on fixes. • Write and maintain integration guides, code samples, and SDK documentation that reduce time-to-live for new partners. • Monitor the health of active partner integrations proactively and surface issues before partners report them. • Translate partner feedback, including bugs, missing features, and API pain points, into clear, actionable input for product and engineering. • Build and maintain code samples in Python and TypeScript that partners can actually use, not just reference. • Act as the technical bridge between trading firms and internal engineering, explaining complex system behavior clearly to both sides.