ph3About The Project (description, Duration, Stage) /h3pBuild and commercialize a portfolio of packaged BFSI solutions (GenAI/ML/Cloud) to accelerate sales and simplify delivery. Scope: prioritize high‑value use cases (KYC/AML, Fraud, Document AI for underwriting/claims/credit files, Customer Intelligence RM copilot, RegTech AI Governance, Collections, Payments Ops), create reference architectures (LLM/RAG, data governance, security, guardrails), and lead pre‑sales (workshops, RFP/RFI, SoW, PoV to Prod). Establish alliances with hyperscalers/ISVs and generate thought leadership. /ppbDuration: /b Open‑ended (practice build) /ppbStage: /b Start (0 to 1 offerings), then Scale (1 to N) /ph3Objective /h3ulliDefine and launch 6–8 packaged BFSI offerings with clear value props, pricing, and delivery playbooks. /liliWin and accelerate deals by leading pre‑sales PoV motions, improving conversion and cycle time. /liliEstablish strategic cloud/data partnerships and external credibility (cases, papers, talks). /li /ulh3KPI /h3ulliBy 3 months: BFSI use‑case map; 2 offering MVPs + demo assets; ≥2 active PoVs in pipeline. /liliBy 6 months: 4–6 offerings live (one‑pagers, decks, reference architectures, SoW templates); influenced pipeline US$2–4M+; PoV to Pilot conversion ≥ 50%. /liliBy 12 months: 6–8 offerings in production at clients; win‑rate ≥ 35%; average sales cycle reduced by 20–30%; 2–3 public case studies. /li /ulh3Areas of Responsibility /h3ulliOffering creation packaging: prioritize use cases; craft value prop, pricing (fixed + variable), ROI/TCO calculators, delivery playbooks. /liliArchitecture leadership: reference designs for LLM/RAG, data governance, security/guardrails,



MLOps on AWS/Azure/GCP with Databricks/Snowflake. /liliPre‑sales deal shaping: discovery workshops, proposals/RFP/RFI, SoW, estimates, PoV leadership and success criteria. /liliAlliances GTM: build hyperscaler/ISV partnerships, co‑sell/co‑marketplace motions, enable Sales/Marketing with assets and narratives. /liliThought leadership: whitepapers, webinars, talks; nurture analyst/PR opportunities. /li /ulh3Skills /h3ulliSolution design packaging for enterprise BFSI /liliExecutive facilitation (C‑suite discovery, storytelling, objection handling) /liliPre‑sales excellence (RFP/RFI, SoW, estimating, deal economics) /liliFinancial modeling (ROI/TCO), pricing strategy /liliAI/ML/LLM literacy (RAG/guardrails), data platforms integration patterns /liliCloud fluency: AWS/Azure/GCP; data stacks Databricks/Snowflake /liliStakeholder management across Sales/Delivery/Legal/Partners /li /ulh3Knowledge /h3ulliCore BFSI domains: Retail/Corporate Banking, Payments, Insurance, Capital Markets /liliRegulations risk: KYC/AML, GDPR, DORA, EU AI Act, PCI DSS, ISO 27001/SOC 2, SR 11‑7/Model Risk, BCBS 239, MAS TRM /liliData governance, security, and responsible AI controls in regulated environments /liliModern delivery models for PoV to Pilot to Production and change management in BFSI /li /ulh3Experience /h3ulli10–15+ years in BFSI/consulting/SI, including 4–6+ years in Data/AI/Analytics/Cloud /liliDemonstrated creation of commercial solutions (pricing, playbooks, assets) and leadership of pre‑sales to wins /liliHands‑on leading PoV/PoC to production in regulated BFSI settings /liliWorking with hyperscalers/ISVs on joint GTM and marketplace offerings /liliPublic speaking/publishing record (nice to have) /li /ul /p #J-18808-Ljbffr

📌 BFSI Solutions Lead — AI, Cloud & GTM (Madrid)
🏢 Neurons Lab
📍 Madrid