• Ownership Mapping & Process Documentation • Document and maintain clear accountability for every step of the payment lifecycle, from initiation through bank reconciliation. • Map and formally document who is accountable for each segment of the payment journey across all systems and teams. • Identify gaps where no named owner exists and work with the Operations and Finance to resolve ambiguity. • Policy-to-System Translation & Change Management • Translate complex financial rules into actionable system requirements and serve as the communication bridge between Finance, Operations, and IT. • Partner with the Financial Controller to document governing policies (contribution-to-coverage eligibility, escrow governance, revenue recognition, exception authority, delinquency and reinstatement rules) and convert each into clear If/Then logic. • Own the validation loop: when a process or system change is deployed, verify it operates as designed through structured testing and parallel runs. • When it breaks, diagnose the root cause and re-validate. • Serve as the primary change communication point. • Cross-System Reconciliation & Analysis • Execute monthly reconciliation processes across all financial systems, investigate variances, and produce analytical reporting. • Payment Integrity & Leak Detection • Proactively audit financial systems to identify payment failures and billing anomalies that create financial exposure. • Develop and maintain dashboards or reporting views that surface payment integrity risks on a weekly cadence. • Revenue Validation • Ensure administrative fee draws are calculated against settled, stable payment data and flag variances before they flow into financial reporting. • Escrow Operations & Governance • Execute day-to-day escrow account operations while maintaining fiduciary controls and proper segregation of duties. • Decline Management & Payment Resolution • Own the full decline lifecycle as a structured, data-driven process—from detection through resolution.

Role Description EOS Data Analytics is looking for an experienced Head of Sales to take ownership of scaling the company’s global commercial function. This is a leadership role for someone who can operate with complex B2B products (data / SaaS / analytics) and successfully close large international deals with enterprise and institutional clients. Qualifications - 5+ years of experience in B2B sales leadership or commercial strategy within agriculture technology, Earth observation, geospatial analytics, monitoring solutions, or other data-driven industries. - Proven track record of building and scaling revenue in international markets. - Experience selling data platforms, monitoring systems, analytics solutions, or SaaS products to enterprise, governmental, or institutional clients. - Strong understanding of agriculture, land monitoring, environmental monitoring, or infrastructure monitoring markets. - Experience managing complex multi-stakeholder sales cycles and closing strategic deals. - Experience building and leading high-performing sales teams. - Fluent English. Requirements - Own the global revenue strategy and drive scalable sales growth across priority markets. - Develop and execute go-to-market strategies for agriculture, monitoring, and data-driven solutions. - Build and lead a modern Sales organization, ensuring predictable pipeline generation and deal execution. - Expand the company’s presence in agro, environmental monitoring, and infrastructure monitoring markets. - Lead complex enterprise and institutional deals, including negotiations with strategic partners and key customers. - Establish and develop long-term partnerships with industry players, agribusinesses, and institutional clients. - Collaborate with Product and Marketing teams to align commercial strategy with market needs and product development. Benefits - Meaningful work on global products in the field of space technologies with real impact across industries. - 20 working days of paid vacation. - 100% paid sick leave (up to 30 days per year). - Medical insurance. - Sports compensation. - Coach / psychologist compensation. - Compensation for professional training (courses, conferences, events). - Foreign language learning support. - Access to corporate library, online courses, lectures from Noosphere experts. - Opportunity to participate in internal meetups as a speaker or participant. - Support for creative activities and children’s development. - Coworking compensation (for locations without company offices). - Financial support in critical situations. - Company gifts for major life events. - Teambuildings, corporate events, quizzes. - Social and charity initiatives: support for Ukraine, environmental projects, animal welfare, assistance to children with special needs.

• Generate and manage regular reports using Google Sheets, Pivot Tables, and Power BI to support business decision-making. • Analyze data trends and generate insights to drive process improvements and support business goals. • Perform regular data entry and data cleansing tasks to ensure the accuracy and integrity of the data used in reports. • Maintain and update dashboards and reports in Power BI to reflect real-time business performance. • Create ad-hoc reports and provide data analysis as required by stakeholders. • Collaborate with cross-functional teams to understand reporting needs and provide actionable insights. • Support the integration of data from multiple sources and maintain centralized reporting systems. • Troubleshoot and resolve data discrepancies and inconsistencies as needed.

• Manage and prioritize incoming data-related communications, ensuring timely responses and clear direction on requests • Attend data and analytics meetings, capturing key insights and converting discussions into structured action items, timelines, and deliverables • Track end-to-end progress of data projects, ensuring deadlines are met and stakeholders remain aligned • Create and maintain comprehensive documentation including data requirements, analytics specifications, and project updates • Review reports and outputs to ensure alignment with defined requirements and flag inconsistencies or anomalies • Prepare pre-meeting briefs by gathering relevant context, stakeholder inputs, and data insights for informed discussions • Act as a coordination hub between analysts, stakeholders, and leadership to ensure seamless execution • Identify bottlenecks in workflows and proactively follow up to keep projects moving efficiently • Support data-driven decision-making by ensuring accuracy, clarity, and accessibility of all project-related information