Descrizione dell'offerta
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 to Prod). Establish alliances with hyperscalers/ISVs and generate thought leadership. Duration:
Open‑ended (practice build) Stage:
Start (0 to 1 offerings), then Scale (1 to 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 to 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 to Pilot to 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)
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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 to Prod). Establish alliances with hyperscalers/ISVs and generate thought leadership. Duration:
Open‑ended (practice build) Stage:
Start (0 to 1 offerings), then Scale (1 to 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 to 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 to Pilot to 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)
#J-18808-Ljbffr
Candidatura e Ritorno (in fondo)
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