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Head of BFSI Solutions

Open 21d

Summary

Lead the creation and commercialization of AI/ML and cloud-based BFSI solutions (e.g., KYC/AML, fraud, document AI) for banking, payments, insurance, and capital markets, driving pre-sales, partnerships, and thought leadership.

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 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

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)

What this application asks

ashby

Name, Email, Resume

  • LinkedIn profile
  • Location
  • English Level choose any
  • What is your expected compensation for this role?  written answer
  • Do you have 10+ years in BFSI/consulting/SI with at least 4 of those years in Data/AI/Analytics/Cloud? yes / no
  • Have you led enterprise pre-sales end-to-end (discovery workshops, RFP/RFI, SoW, estimates) resulting in closed wins? yes / no
  • Which 3 BFSI GenAI use cases would you prioritize for near‑term ROI and why? written answer · optional

See also

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