Ollion

• Lead security discovery workshops with client stakeholders to map out security requirements • Translate high-level architectural requirements into actionable security user stories, tasks, and implementation roadmaps • Evaluate technical trade-offs between native cloud tools and agnostic platforms • Design and document end-to-end cloud security frameworks tailored to client environments • Document existing client controls and packages for SOC 2 and HITRUST compliance • Establish early-stage governance, security processes, and compliance tracking for AI • Define long-term maintenance, security guidelines, and architecture health policies • Establish policies for regular code scanning and automated code review workflows • Prioritize and coordinate remediation plans with core client development teams • Oversee security preparation for critical next-phase applications

• Act as the primary Subject Matter Expert (SME) on Generative AI, LLM reasoning patterns, and autonomous agent frameworks. • Translate complex business requirements from client stakeholders into rigorous technical blueprints. • Lead the architectural design, advisory, and execution of high-impact AI agent ecosystems for enterprise clients. • Own the technical vision for the core Go harness pattern. • Lead the detailed design specifications for agents, establishing structural tool definitions and systemic prompt engineering. • Design and implement a continuous shadow-mode evaluation harness to validate agent performance against live production data. • Oversee or directly build the initial shadow-mode Proof of Concept (PoC) for the first designated agent to accelerate project kickoff.

• Develop a strong presence within territory with prospects, customers and partners. • Drive revenue and market share within the West Coast territory. • Develop and execute against territory plan to consistently deliver quarterly bookings and revenue targets. • Develop and manage relationships with enterprise and mid-market customers in Fortune 2000. • Accelerate customer adoption of managed cloud and professional services (comprising cloud migration and modernization solutions, as well as data/analytics/AI solutions) through education and engagement. • Position Ollion as a trusted, strategic business partner to customers with differentiated value propositions. • Effectively qualify opportunities to ensure greatest return on time and resource investment. • Use consultative/solution selling methodology to understand business problems and define solutions, in collaboration with pre-sales, technical and client services teams within the practices. • Translate customer’s critical business and technology issues into profitable cloud and services opportunities. • Leverage internal resources at multiple levels to build and deliver the best solution for the customer. • Demonstrate strong business acumen by presenting solutions to decision makers (CXO, VP) on an ROI basis. • Fully understand the customer's decision-making process to create and execute a predictable closing plan. • Negotiate and close managed services and professional services agreements at the executive-level. • Engage partners to develop and execute joint selling approach to customers where appropriate. • Manage numerous accounts concurrently and strategically. • Provide accurate monthly/quarterly bookings and revenue forecast through disciplined sales and pipeline methodology, including regular use of CRM. • Prospect on a continual basis to ensure net new business targets are consistently met, through independent initiatives as well as in collaboration with marketing, alliances and other GTM teams. • Proactively build and expand on existing customer relationships to drive net new revenue opportunities. • Utilize customer relationships, professional networks and other industry forums to create new opportunities.

• Design, build, and optimize ETL/ELT data pipelines using Azure and GCP services • Develop and maintain optimized data models within multi-cloud data warehouse solutions • Monitor and optimize the performance of data warehouse queries • Collaborate with Data Scientists to design feature stores and pipelines for ML models • Implement workflows to automate the end-to-end data lifecycle for AI/ML processes • Work with Data Science teams to deploy and manage machine learning models in production environments • Write complex SQL queries and develop scripts in Python for data manipulation

• Collaborate with business and technical leaders to design and build robust data engineering solutions • Implement scalable ELT/ETL pipelines, cloud data warehouse structures, and dimensional data models • Design and implement intuitive, enterprise-grade dashboards and semantic models using Power BI • Utilize advanced proficiency in SQL and Python for complex data manipulation and workflow automation • Partner with project leads to enforce rigorous security best practices • Develop and maintain comprehensive technical documentation for data flows, schemas, and operational processes • Rapidly master cutting-edge, cloud-native technologies and acquire deep domain expertise across diverse client industries

• Assist in managing, configuring, and optimizing core business systems (including CRM, BI, and automation platforms) to ensure smooth day-to-day operations. • Partner with team members to maintain clear process flows, map data models, and assist in drafting Business Requirements Specifications (BRS). • Actively leverage modern AI tools (e.g ChatGPT, Cursor, GitHub Copilot) for "vibe coding"—building lightweight automations, writing simple scripts, and streamlining repetitive internal tasks. • Serve as a reliable point of contact for internal stakeholders to help resolve system issues, troubleshoot errors, and fulfill data requests. • Run regular audits, maintain clean records, and build basic dashboards to ensure accurate reporting across all platforms.

• Develop a strong presence within territory with prospects, customers and partners. • Drive revenue and market share within the West Coast territory. • Develop and execute against territory plan to consistently deliver quarterly bookings and revenue targets. • Develop and manage relationships with enterprise and mid-market customers in Fortune 2000. • Accelerate customer adoption of managed cloud and professional services (comprising cloud migration and modernization solutions, as well as data/analytics/AI solutions) through education and engagement. • Position Ollion as a trusted, strategic business partner to customers with differentiated value propositions. • Effectively qualify opportunities to ensure greatest return on time and resource investment. • Use consultative/solution selling methodology to understand business problems and define solutions, in collaboration with pre-sales, technical and client services teams within the practices. • Translate customer’s critical business and technology issues into profitable cloud and services opportunities. • Leverage internal resources at multiple levels to build and deliver the best solution for the customer. • Demonstrate strong business acumen by presenting solutions to decision makers (CXO, VP) on an ROI basis. • Fully understand the customer's decision-making process to create and execute a predictable closing plan. • Negotiate and close managed services and professional services agreements at the executive-level. • Engage partners to develop and execute joint selling approach to customers where appropriate. • Manage numerous accounts concurrently and strategically. • Provide accurate monthly/quarterly bookings and revenue forecast through disciplined sales and pipeline methodology, including regular use of CRM. • Prospect on a continual basis to ensure net new business targets are consistently met, through independent initiatives as well as in collaboration with marketing, alliances and other GTM teams. • Proactively build and expand on existing customer relationships to drive net new revenue opportunities. • Utilize customer relationships, professional networks and other industry forums to create new opportunities.

• Define, drive, and govern the architectural strategy for complex, large-scale technical solutions • Balance presales leadership, technical enablement, and strategic project delivery oversight • Collaborate with sales and delivery teams to develop advanced, tailored solution designs • Serve as the Technical Account Lead on select, high-value projects • Provide senior leadership and mentorship to delivery teams during project delivery • Develop company-wide scalable architectures and repeatable solution blueprints

• Lead and mentor a team of data engineers • Architect, design, and implement scalable data pipelines and processing systems using modern cloud services (AWS, GCP, Azure) • Establish and enforce data engineering best practices, standards, and governance frameworks • Drive the technical vision and roadmap for data infrastructure and platforms • Optimize data workflows for performance, reliability, and cost efficiency • Conduct code reviews, ensuring scalable and maintainable solutions • Communicate technical concepts effectively to technical and non-technical audiences

• Lead the North America implementation organization • Direct leadership of all NA Delivery personnel • Ensure seamless transitions from migration to long-term operations • Act as the bridge between design and execution • Oversee implementation of cloud-native principles