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About the Project

Build and commercialize a portfolio of packaged BFSI solutions (GenAI/ML/Cloud) to accelerate sales and simplify delivery. Scope includes prioritizing high‑value use cases such as 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 activities (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).

Key Performance Indicators (KPIs)

• 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).

Other Details

Seniority level: Executive

Employment type: Full‑time

Job function: Information Technology

Industries: IT Services and IT Consulting

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