ppbAbout The Project (description, Duration, Stage) /bJoin Neurons Lab as the bAI Analyst /b on a flagship engagement with a bEuropean private investment group /b — a holding company with a C-level executive team, an investment/portfolio function and an affiliated family office. /ppThe programme builds one private, access-scoped bcontext layer /b over the group's data and then bAI skills and agents /b on top of it — first for the executive team (6–10 people holding ~90% of group priorities), then for every employee. Two loops run on the same layer: emalignment /em — are we doing the right things (strategy, OKRs, drift by team and by person) — and emefficiency /em — are we doing things right (a process miner reads real workflows from the digital footprint, optimizer agents then implement the fixes). /ppYour half of the programme is the part that only a human can do. bPhase 3 (Distill) /b is yours: sitting with each executive and getting what is in their head into the layer — group strategy and OKRs from the Chief of Staff, investment policy and portfolio base from the CIO, reporting standards and operating processes from the CFO and COO. And in the efficiency loop, you turn raw mining output into ba written optimisation report per team /b: automate, reorganise, or leave alone — with the financial case attached. /ppFour phases — bCapture → Connect → Distill → Build /b — over roughly beight to ten two-week sprints /b, opening with a fixed-fee two-week Sprint 0 readiness pass. /ppbStage /b: pre-contract / design-partner negotiation. /ppbDuration /b: multi-phase, ~4–5 months to the executive pilot in production, then rollout. /ppbReporting /b: CTO and CEO are in the room at key points; you work day to day with the AI Architect (1.0 FTE) and a Data Engineer (0.5 FTE), and directly with the client's executive team. /ppbFull-time role. /bbr/br/ /ppbThis is the most client-facing seat on the pod after the founders. /bbr/br/ /ppbWhat You'll Actually Do (example Tasks) /b /pulliRun executive distillation sessions — one-to-one with the Chief of Staff, CIO, CFO and COO — and turn each into a context pack: goals, OKRs, KPIs, investment policy, reporting standards,



operating processes written down as usable text, not slides. /liliElicit and validate the business semantics of the ontology with stakeholders: what a "commitment", "decision", "priority", "portfolio update" actually mean in this group, and where definitions conflict between entities. /liliSpecify the agent skills per executive — scope, inputs, outputs, tone, acceptance criteria, escalation and human-in-the-loop boundaries — and write the evals that decide whether a skill is good enough to ship. /liliDesign the weekly alignment ritual in Slack: OKR-coached check-ins, drift detection, and the board master-report that assembles itself from the check-ins. /liliInterpret process-mining output into a decision-ready report per team: where effort actually goes, what to automate, what to reorganise, what to leave alone — each with an ROI estimate and a recommended sequence. /liliBuild quick prototypes (no-code / low-code / prompt-level) to test a skill with an executive before engineering builds it properly. /liliOwn adoption: sit with the executives, watch them use it, find why they don't, and feed that back into the backlog every sprint. /liliMeasure payback after each automation ships and re-prioritise the next wave against it. /liliKeep the written trail — decision records, requirement docs, runbooks — so the client's own team can eventually build the rest without us.br/br/ /li /ulpbSkills /b /pulliExecutive stakeholder management and workshop facilitation — can hold a room of C-level people and leave with something written down /liliProcess analysis and mapping: current-state documentation, process-as-is vs. process-as-written, workflow redesign /liliRequirements engineering for AI systems: user stories, acceptance criteria,



eval design rather than vague wish-lists /liliROI / business-case modelling and prioritisation under constraints /liliOKR / goal-management fluency — enough to coach, not just record /liliHands-on with LLM tooling: prompting, no-code/low-code prototyping, agent builders, evaluating output quality critically /liliComfortable reading process-mining / usage data and reasoning about it quantitatively (SQL or spreadsheet-level analysis is enough) /liliExceptional written English — most of your output is prose someone else acts onbr/br/ /li /ulpbKnowledge /b /pulliFinancial services / private equity operating context: investment policy, portfolio reporting, board and committee process, family-office structures — a strong plus /liliAI governance basics in regulated environments: what to document, what needs a human, what needs an audit trail /liliGDPR fundamentals as they apply to employee-generated data (mail, chat, meeting recordings) — including the politics of capture-by-default /liliAwareness of ontologies / knowledge graphs — you don't build them, but you must be able to argue about definitions with the architectbr/br/ /li /ulpbTraits /b /pulliStrategic thinker who can also do the unglamorous documentation work /liliComfortable telling an executive their stated process isn't the one the data shows /liliTechnically curious and genuinely hands-on with AI tools, without pretending to be an engineer /liliBias to writing things down; allergic to unresolved ambiguitybr/br/ /li /ulpbExperience /b /pulli4+ years in business analysis, management consulting, process improvement or AI/product analysis /liliDemonstrated experience eliciting requirements from senior stakeholders and shipping against them /liliHands-on LLM / generative-AI implementation experience — prototypes you can show, not courses you attended /liliExperience mapping and redesigning real business processes, ideally with mining or usage data rather than interviews alone /liliBackground in or with financial services / investment firms — strong plus /liliComfortable as the sole analyst on a small (2.5-FTE) delivery podbr/br/ /li /ul /p #J-18808-Ljbffr

📌 AI Analyst (UA/RU Language speaking) (España)
🏢 Neurons Lab
📍 España