Neurons Lab
Head of BFSI Solutions
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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%
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- 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 opportunities
Skills
- Solution design & packaging for enterprise BFSI
- Executive facilitation (C‑suite discovery, storytelling, objection handling)
- Pre‑sales excellence (RFP/RFI, SoW, estimating, deal economics)
- Financial modeling (ROI/TCO), pricing strategy
- AI/ML/LLM literacy (RAG/guardrails), data platforms & integration patterns
- Cloud fluency: AWS/Azure/GCP; data stacks Databricks/Snowflake
- Stakeholder management across Sales/Delivery/Legal/Partners
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Knowledge
- Core BFSI domains: Retail/Corporate Banking, Payments, Insurance, Capital Markets
- Regulations & risk: KYC/AML, GDPR, DORA, EU AI Act, PCI DSS, ISO 27001/SOC 2, SR 11‑7/Model Risk, BCBS 239, MAS TRM
- Data governance, security, and responsible AI controls in regulated environments
- Modern delivery models for PoV→Pilot→Production and change management in BFSI
Experience
- 10–15+ years in BFSI/consulting/SI, including 4–6+ years in Data/AI/Analytics/Cloud
- Demonstrated creation of commercial solutions (pricing, playbooks, assets) and leadership of pre‑sales to wins
- Hands‑on leading PoV/PoC to production in regulated BFSI settings
- Working with hyperscalers/ISVs on joint GTM and marketplace offerings
- Public speaking/publishing record (nice to have)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location