About the project_(description, duration, stage)_:
Build 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 Prod). Establish alliances with hyperscalers/ISVs and generate thought leadership.

Duration: Open‑ended (practice build)

Stage: Start (0 1 offerings), then Scale (1 N)

Objective:
- Define and launch 6-8 packaged BFSI offerings with clear value props, pricing, and delivery playbooks.
- Win and accelerate deals by leading pre‑sales & PoV motions, improving conversion and cycle time.
- Establish strategic cloud/data partnerships and external credibility (cases, papers, talks).

KPI:
- By 3 months: BFSI use‑case map; 2 offering MVPs + demo assets; 2 active PoVs in pipeline.




- By 6 months:4-6 offerings live (one‑pagers, decks, reference architectures, SoW templates); influenced pipeline US$2-4M+; PoV Pilot conversion 50%.
- By 12 months:6-8 offerings in production at clients; win‑rate 35%; average sales cycle reduced by 20-30%; 2-3 public case studies.

Areas of Responsibility:
- Offering creation & packaging: prioritize use cases; craft value prop, pricing (fixed + variable), ROI/TCO calculators, delivery playbooks.
- Architecture leadership: reference designs for LLM/RAG, data governance, security/guardrails, MLOps on AWS/Azure/GCP with Databricks/Snowflake.
- Pre‑sales & deal shaping: discovery workshops, proposals/RFP/RFI, SoW, estimates, PoV leadership and success criteria.
- Alliances & GTM: build hyperscaler/ISV partnerships, co‑sell/co‑marketplace motions, enable Sales/Marketing with assets and narratives.
- Thought leadership: whitepapers, webinars, talks; nurture analy

📌 Head of Bfsi Solutions (Madrid)
🏢 Neurons Lab
📍 Madrid