• Build and maintain recurring acquisition analytics and reporting (monthly, quarterly, annual) • Develop dashboards, scorecards, and leadership-ready briefing materials that show progress, trends, risks, and workload • Define, track, and improve acquisition KPIs and performance measures (quality, timeliness, throughput, cycle time, etc.) • Analyze spending and vendor data by category, organization, budget line, and vendor to support planning and decision-making • Maintain and improve acquisition and vendor data sources (including databases or trackers used for vendor capability and contract data) • Support market research and acquisition planning with data-driven analysis (e.g., vendor landscape, historical spend, trends) • Create clear documentation, templates, and reporting guides so products are repeatable and easy for teams to use • Produce high-quality deliverables in Microsoft 365 (Excel, PowerPoint, Word) and PDF

• Embed with support office departments (Finance, People, Admissions, Marketing, and others) to map current processes in detail • Identify which processes are candidates for automation — where is the volume, where is the pain, where is the manual effort that doesn't need to be manual? • Write clear requirements and specifications that our Automation Engineer can build from • Prioritise opportunities by business impact • Work closely with the Automation Engineer during build and testing to ensure what gets built actually solves the problem • Own the rollout when automations and new analytics tools go live in a department • Train users, manage the transition from old process to new, handle resistance constructively • Collect feedback and iterate — if something isn't working, you're the first to know and the first to act • Build lasting relationships with department heads so they see the Data & AI Team as a partner, not a threat • Run AI fluency cohorts across the organisation — practical sessions helping teams use tools like Claude, Gemini, and others to improve their personal productivity • Curate which AI tools are appropriate for which teams and use cases • Identify who's struggling and provide targeted support • Feed back to the Director what the organisation is trying to do with AI, so we can prioritise tooling and training • While embedded with departments, surface data and analytics opportunities — teams making decisions on gut feel, questions that could be answered with data, reports that could be dashboards • Feed these into the Product Owner's backlog for the Analytics Engineer to deliver

• Manages and delivers complex projects or programs in alignment with client expectations and business needs • Plans and directs schedules and project budgets • Organizes interdepartmental meetings and communication to ensure project/program completion • Directs the activities of project support staff, project managers, and sub-contractors • Assigns and monitors work of technical team members providing support and interpretation of objectives

Role Description We are hiring Senior IT Business Analysts to accelerate requirements definition and improve delivery precision across engineering teams. You will work closely with engineering teams in a near‑pairing model, defining and documenting requirements with high clarity and precision. Although you will collaborate with Product, the role sits within technical workstreams, focusing on execution excellence, internal stakeholder alignment, and enabling AI‑driven delivery practices. We’re looking for Senior Business Analysts with: - 8+ years of experience - Strong BA fundamentals - Excellent communication skills - A genuine interest in modern, AI‑enhanced development workflows Flexible collaboration model (employment or B2B) Location: Romania (remote or hybrid from Cluj / Iași) If you’re a senior BA who thrives in technical environments and wants to help shape AI‑driven, spec‑first delivery practices, send your profile and let’s talk. Responsibilities - Define and document requirements with high clarity, precision, and structure - Work closely with engineering teams in a near‑pairing model - Collaborate with the Product Owner (acting as proxy, without ownership responsibilities) - Engage exclusively with internal stakeholders - Contribute to spec‑driven development and AI‑assisted delivery practices Requirements - 8+ years of professional experience as a Business Analyst or similar role - Strong Business Analyst fundamentals and structured thinking - Solid understanding of BA processes, documentation standards, and requirement flows - Familiarity or strong interest in spec‑driven development - Ability to work closely with engineering teams and translate needs into actionable specs - Strong communication and internal stakeholder management skills