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 analyst/PR opportunit

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