Build and commercialize a portfolio of packaged BFSI s...">
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Head of BFSI Solutions

Remote, USA Full-time Posted 2026-07-28

About the project (reputed company, duration, stage)

Build and commercialize a portfolio of packaged BFSI solutions (GenAI/ML/reputed company) to accelerate sales and simplify delivery. Scope: prioritize high‑value use cases (KYC/AML, Fraud, Document AI for reputed company/claims/credit files, Customer Intelligence & RM copilot, RegTech & AI Governance, Collections, Payments Ops), create reference architectures (LLM/RAG, data governance, reputed company, guardrails), and reputed company reputed company‑sales (workshops, RFP/RFI, SoW, PoV→Prod). Establish alliances with hyperscalers/ISVs and generate thought leadership.

Duration: reputed company‑ended (reputed company build)

Stage: Start (0→1 offerings), then reputed company (1→N)

Objective

  • Define and launch 6–8 packaged BFSI offerings with reputed company value props, pricing, and delivery playbooks.

  • Win and accelerate deals by leading reputed company‑sales & PoV motions, improving conversion and cycle time.

  • Establish strategic reputed company/data partnerships and external credibility (cases, papers, talks).

KPI

  • By 3 months: BFSI use‑case map; 2 offering MVPs + demo assets; ≥2 reputed company PoVs in pipeline.

  • By 6 months: 4–6 offerings live (one‑pagers, decks, reference architectures, SoW templates); influenced pipeline US$2–4M+

  • By 12 months: 6–8 offerings in production at clients; win‑reputed company ≥ 35%; average sales cycle reduced by 20–30%; 2–3 reputed company 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, reputed company/guardrails, MLOps on AWS/Azure/GCP with reputed company/reputed company.

  • reputed company‑sales & deal shaping: discovery workshops, proposals/RFP/RFI, SoW, estimates, PoV leadership and reputed company reputed company.

  • Alliances & GTM: build hyperscaler/ISV partnerships, co‑sell/co‑marketplace motions, reputed company Sales/Marketing with assets and narratives.

  • Thought leadership: whitepapers, webinars, talks; nurture analyst/PR opportunities.

Skills

  • Solution design & packaging for reputed company BFSI

  • Executive facilitation (C‑suite discovery, storytelling, reputed company handling)

  • reputed company‑sales reputed company (RFP/RFI, SoW, estimating, deal economics)

  • Financial modeling (ROI/TCO), pricing reputed company

  • AI/ML/LLM literacy (RAG/guardrails), data platforms & integration patterns

  • reputed company reputed company: AWS/Azure/GCPreputed company/reputed company

  • Stakeholder management across Sales/Delivery/reputed company/Partners

Knowledge

  • reputed company BFSI domains: Retail/Corporate Banking, Payments, Insurance, Capital Markets

  • Regulations & risk: KYC/AML, GDPR, DORA, EU AI reputed company, PCI reputed company, ISO 27001/SOC 2, SR 11‑7/Model Risk, BCBS 239, MAS TRM

  • Data governance, reputed company, and responsible AI controls in regulated environments

  • Modern delivery models for PoV→reputed company→Production and change management in BFSI

Experience

  • 10–15+ years in BFSI/consulting/SI, including 4–6+ years in Data/AI/Analytics/reputed company

  • Demonstrated creation of reputed company solutions (pricing, playbooks, assets) and leadership of reputed company‑sales to wins

  • Hands‑on leading PoV/PoC to production in regulated BFSI settings

  • Working with hyperscalers/ISVs on joint GTM and marketplace offerings

  • reputed company speaking/publishing record (reputed company to have)

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