Role Description The Senior Systems Analyst – Data Solutions is a senior individual contributor role accountable for requirements integrity and solution intent across complex, multi‑initiative data, analytics, and AI‑enabled solutions at Texas Oncology. This role serves as the authoritative steward of data and AI solution definition, ensuring that analytics platforms, data products, integrations, reporting, and AI‑enabled insights are grounded in validated business needs and translate into solutions that are architecturally sound, feasible to deliver, and operationally viable. Operating at the intersection of data, technology, automation, and advanced analytics, this role serves as the primary steward of data solution intent—ensuring analytics platforms, data products, AI‑enabled insights, machine‑learning‑backed capabilities, integrations, and reporting solutions deliver measurable business value while aligning to enterprise data architecture, AI governance, and technology standards established as part of the Texas Oncology digital roadmap. Responsibilities - Data Product & AI Requirements Ownership: - Own end‑to‑end functional and technical definition for complex data, analytics, and AI‑enabled initiatives, including analytics platforms, reporting solutions, data pipelines, curated data products, and advanced insights. - Lead deep discovery with business, clinical, and IT stakeholders to uncover underlying needs, constraints, and success measures tied to digital transformation priorities. - Translate business problems into clear, unambiguous, high‑quality requirements, including metrics, data inputs and outputs, logic definitions, model performance expectations, and acceptance criteria. - Proactively identify and resolve requirements ambiguity, scope gaps, and conflicting stakeholder expectations that could compromise solution quality or delivery outcomes. - Architecture & Governance Alignment: - Serve as a senior, trusted partner to Enterprise, Solution, AI, and Data Architects in shaping top‑of‑license design decisions for modern analytics and AI‑enabled solutions. - Ensure solution intent aligns with enterprise data models, integration standards, security and privacy requirements, and AI governance frameworks, including lifecycle management and monitoring expectations. - Validate that proposed solutions are feasible within platform capabilities, data readiness constraints, and established architectural guardrails. - Technical Product Ownership and Backlog Management: - Maintain prioritized backlogs and serve as technical product owner for assigned products and data domains. - Balance stakeholder needs with architectural constraints, data readiness, model feasibility, and platform capabilities. - Support backlog refinement and delivery checkpoints to ensure data and AI capabilities are implemented as intended and are operationally viable. - Align data and AI solutions with enterprise governance processes covering data stewardship, model lifecycle management, monitoring, and compliance. - Contribute to continuous improvement of data and AI analysis practices, templates, and standards across Texas Oncology IT. - Cross‑Initiative Delivery Enablement: - Provide senior‑level analysis and coordination across data and AI initiatives, including dependency identification, readiness assessment, and outcome validation. - Partner with IT Project Managers and delivery leads to ensure solutions move predictably through the SDLC and into production with appropriate operational readiness. - Serve as a point of escalation for definition‑related risks impacting delivery feasibility, quality, or outcomes. - Continuous Improvement & Standards Development: - Contribute to the continuous improvement of data and AI analysis practices, including standards, templates, patterns, and reusable artifacts. - Share lessons learned to mature requirements rigor, analytics definition quality, and cross‑team consistency across Texas Oncology IT. Qualifications - Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field. - 6–9 years of experience as a Systems Analyst, Senior IT Analyst, or Data Analyst in complex enterprise environments. - Demonstrated expertise translating ambiguous business problems into high‑quality, data‑centric technical requirements. - Strong applied knowledge of analytics, data platforms, and AI‑enabled solution concepts (tool‑agnostic; model‑agnostic). Requirements - Healthcare analytics, clinical data, or AI‑enabled healthcare solutions experience. - Experience working with modern data platforms, BI tools, and/or AI or automation platforms. - Experience collaborating with Data Engineers, AI engineers, or data science teams. - Experience defining analytics or AI solutions operating at enterprise scale. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or feel. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 30 pounds. Specific vision abilities required by this job include ability to adjust focus. Requires vision and hearing corrected to normal range. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform the essential functions. Work is performed in an office environment. Involves frequent interaction with corporate and field staff, as well as external customers and contacts. Work may require some travel by air or automobile. Fantastic time-management skills with the ability to multi-task.

• Analyze technical data, including IP addresses and usage logs, to identify potential software misuse • Conduct deep online research to verify corporate entities and surface accurate contact information • Maintain organized, up-to-date case records in our CRM • Compile findings into clear, well-structured reports for internal stakeholders • Partner with senior investigators and the Team Lead to move complex cases forward • Learn and adopt new investigative tools to improve how the team works

• Support customer and partner billing operations, including invoice generation, distribution, payment application, collections support, and accounts receivable aging analysis. • Prepare and maintain account reconciliations for Revenue and AR-related accounts and investigate discrepancies as needed. • Assist with month-end close activities, including journal entries, reconciliations, deferred revenue support, and reporting. • Partner with internal stakeholders to resolve billing inquiries and improve the customer billing experience. • Support external audit requests and provide documentation related to revenue, billing, and AR processes. • Assist in the development, documentation, and enhancement of billing and AR processes and internal controls. • Participate in process improvement initiatives, system implementations, and other ad hoc finance projects. • Maintain accurate financial records and ensure compliance with company policies and applicable accounting standards. • Contribute to a collaborative and team-oriented remote work environment.

Role Description Huge is looking for a visionary Senior Quality Analyst who views quality as an art form as much as a science to support cross-functional delivery across high-impact digital initiatives. As a Senior Quality Analyst, you are a strategic generalist, a natural problem solver, and a passionate leader who drives clarity, quality, and technical consistency across complex client ecosystems. In this role, you will act as a trusted advisor to Product, Design, Engineering, and client teams—owning quality decisions, risk mitigation strategies, and end-to-end execution. You will bring exceptional analytical rigor, an entrepreneurial spirit, and a passion for continuous improvement to shape solution direction and ensure measurable outcomes. From front-end components and CMS architectures to advanced test automation and pioneering the development of AI in QA flows, you will safeguard platform performance and functionality at every layer. A successful candidate brings strong problem-solving skills, confidence operating in ambiguity, and the ability to simplify complex systems and decisions while mentoring team members and maintaining delivery momentum. What You’ll Be Doing - Strategic Quality Leadership & Ownership: Own project quality decisions, scope, and artifacts. Define quality gates, establish engineering quality best practices, and focus on proactive risk mitigation over simple problem detection. - AI-Driven QA Engineering & Innovation: Architect and integrate advanced AI capabilities into daily QA workflows—developing and leveraging AI skills, Model Context Protocols (MCPs), and autonomous testing agents to optimize test execution, generation, and triage. - Cross-Functional Execution: Partner closely with Strategy, Product, Design, and Engineering teams to translate complex experience designs and business goals into testable realities. - Front-End & Component Validation: Conduct rigorous front-end, cross-browser, and responsive layout testing across breakpoints. Validate component rendering and design system fidelity directly against Figma specifications. - CMS & Content Validation: Drive testing strategies tailored to web development workflows using enterprise CMS platforms (e.g., Sitecore, Brightspot, AEM, or similar), focusing on component behavior and content orchestration. - API, Performance & SEO QA: Execute deep API testing, evaluate data flows across decoupled architectures, and audit web performance and SEO using tools like Chrome DevTools and Lighthouse. - Accessibility & Localization: Enforce accessibility standards (WCAG/ADA) and validate multi-market localization setups to ensure inclusive, high-quality digital experiences. - Test Automation & Release Management: Maintain and build E2E and visual automated tests using modern JavaScript frameworks (Cypress, Playwright), while managing release workflows in Git. - Team Mentorship & Growth: Actively mentor junior, mid-level, and senior QA engineers—fostering a culture of learning, delegation, and continuous improvement across the discipline. Qualifications - 4–6+ years of experience as a Quality Analyst or Quality Engineer delivering complex digital initiatives in high-stakes environments. - Pioneering AI in QA: Strong understanding and hands-on experience developing AI solutions within QA flows, including hands-on work with AI skills, MCPs (Model Context Protocols), autonomous testing agents, prompt engineering, and AI output evaluation. - Modern Test Automation: Solid hands-on experience creating and maintaining E2E and visual automated test suites using JavaScript/TypeScript with frameworks like Playwright or Cypress. - Enterprise CMS & Web Ecosystems: Strong understanding of web development workflows on enterprise CMS platforms (Sitecore, Brightspot, AEM, or similar). - API & Technical QA: Proven experience in API testing, front-end validation, localization, SEO auditing, and web performance testing (Lighthouse/DevTools). - Design Systems & Visual QA: Strong understanding of responsive design and UI testing, mapping coded components directly back to Figma design specs. - Accessibility Mastery: Hands-on experience with WCAG and ADA compliance auditing and tools. - Shift-Left & Quality Process: Mastery of shift-left testing principles, bug prevention, QA metrics, test risk assessment, Git workflows, and Agile/Lean delivery practices. - Leadership & Delegation: Demonstrated ability to manage team performance, scope, and prioritization while mentoring cross-level peers. - ISTQB Certification: Holds an active ISTQB certification. Requirements - If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/ . Benefits - Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self. - Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. - Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.