Solution Architech

Visa Visa · Fintech · Bengaluru, India, IN

Visa is seeking a Solution Architect to support and scale global product businesses at a regional level, focusing on data tokenization. This role involves shaping go-to-market strategy, enabling sales teams, and client delivery, with a strong emphasis on data analysis and integrating Gen AI into products. The ideal candidate will have experience with large-scale Visa datasets, enterprise technology stacks, and a strong understanding of consumer signals and analytics.

What you'd actually do

  1. Define and execute the regional GTM strategy for Visa’s data tokenization solutions in alignment with global product and commercial priorities
  2. Partner closely with regional sales teams to enable selling of data products, including Sales playbooks, Pitch narratives and client‑ready materials, Use‑case driven ROI and value articulation
  3. Participate directly in client delivery engagements, from solution design through implementation and post‑launch optimization
  4. Perform large‑scale data analysis using Visa datasets to generate insights that support: Derive consumer signals, Plan out customer engagement programs, Client performance measurement, Product optimization, Commercial storytelling and case studies
  5. Integrate Gen AI and Advanced Analytics in to the products

Skills

Required

  • Python or R
  • Causal inference techniques
  • Statistical modelling
  • Segmentation
  • AB experimentation
  • Large-scale transaction data
  • customer-level CRM datasets
  • Marketing attribution or ROI models
  • LLMs (GPT, Claude, Gemini, Grok, etc.)
  • Insight generation bots
  • Prompt frameworks
  • Automated reporting scripts
  • Embedding or vector-based retrieval
  • GenAI-powered analytics assistants

Nice to have

  • Data science
  • consumer signals
  • digital marketing analytics
  • campaign measurement
  • performance marketing
  • data products
  • customer engagement models
  • SQL
  • Spark
  • visualization tools
  • internal platforms

What the JD emphasized

  • 7 plus years in data science, harnessing consumer signals both prescriptive and predictive across marketing and risk areas, digital marketing analytics, campaign measurement, or performance marketing
  • Masters or Bachelors Degree in a Quantitative field such as Business Management, product engineering, Statistics, Mathematic, Computer Science, Economics, Engineering, or equivalent
  • Strong hands-on experience in Python or R, Causal inference techniques, Statistical modelling, Segmentation, AB experimentation
  • Experience working with Large-scale transaction data, customer-level CRM datasets and Marketing attribution or ROI models
  • Familiarity with LLMs (GPT, Claude, Gemini, Grok, etc.)
  • Experience building Insight generation bots, Prompt frameworks, Automated reporting scripts, Embedding or vector-based retrieval
  • Ability to design GenAI-powered analytics assistants for internal users

Other signals

  • Integrate Gen AI and Advanced Analytics in to the products
  • Ability to design GenAI-powered analytics assistants for internal users
  • Familiarity with LLMs (GPT, Claude, Gemini, Grok, etc.)
  • Experience building Insight generation bots, Prompt frameworks, Automated reporting scripts, Embedding or vector-based retrieval