Data Product – Consumer Signal and Intelligence at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Tokenization, Go-to-Market Strategy, Sales Enablement, Client Delivery, Performance Tracking, Analytics, SQL, Python, Spark, Causal Inference, Statistical Modelling, Segmentation, AB Experimentation, LLMs, GenAI, Prompt Frameworks

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description We are seeking a high‑impact individual to support and scale Visas Data Tokenization and other global product businesses at a regional level. This role will be responsible for shaping and executing go‑to‑market strategy, enabling sales teams, and participating directly in client delivery, including performance tracking and analytics. The role will act as a bridge between global product teams and regional sales, solutioning, and client teams, ensuring consistent execution while tailoring solutions to regional market needs. This is a hands‑on role requiring strong analytical depth, commercial acumen, and the ability to work with large‑scale Visa datasets and enterprise technology stacks. Principal Responsibilities: Go‑to‑Market and Strategy: Define and execute the regional GTM strategy for Visa’s data tokenization solutions in alignment with global product and commercial priorities Launch Visa Voyage and other emerging Global products in the region Identify priority use cases, client segments, and growth opportunities across issuers, acquirers, merchants, and ecosystem partners Translate global product capabilities into regionally relevant value propositions, pricing narratives, and commercialization plans Sales Enablement and Commercial Support: 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 Support pipeline development by participating in client conversations, deal shaping, and solution design Act as a subject‑matter expert for tokenized data capabilities during complex sales cycles Client Delivery and Performance Tracking: Participate directly in client delivery engagements, from solution design through implementation and post‑launch optimization Define and track success metrics, KPIs, and performance dashboards for deployed data token solutions Analyze client and network‑level performance to identify optimization opportunities, incremental value, and expansion potential Data Analytics and Insights: 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 Leverage Visas approved data and analytics technology stack (e.g., SQL, Python, Spark, visualization tools, internal platforms) to deliver repeatable, scalable analysis Integrate Gen AI and Advanced Analytics in to the products Partner with global analytics, data science, and product teams to align methodologies and best practices Global and Regional Collaboration: Work closely with global product, analytics, and GTM teams to enable consistent delivery and adoption Act as the regional point of coordination for data token and other global product initiatives, ensuring feedback loops from clients and sales inform global roadmaps Collaborate with regional solutioning, consulting, and implementation teams to ensure seamless execution This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Professional Qualifications and Experiences 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. Good understanding of the data products and customer engagement models and priciples 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. Exceptional communication, storytelling, and executive presentation skills Ability to work with sub-regional Visa teams and external clients with clarity and confidence. Experience mentoring analysts and managing cross-functional workstreams. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Job Family Group: Sales and Business Development

Responsibilities

This role involves defining and executing the regional go-to-market strategy for Visa's data tokenization solutions, partnering with sales teams for enablement, and participating directly in client delivery engagements. The individual will also perform large-scale data analysis using Visa datasets to derive consumer signals, measure performance, and support commercial storytelling.