Director, Data Science, Visa Consulting & Analytics, India and South Asia

Team Summary

Visa Consulting and Analytics (VCA) drives tangible impactful and financial results for Visas network clients including both financial services and merchants. Drawing on our expertise in strategy consulting data analytics brand management marketing operational and macroeconomics Visa Consulting and Analytics solves the most strategic problems for our clients.

The India & South Asia (INSA) Consulting Market team within Visa Consulting & Analytics provides consulting and solution services for Visas largest issuers in India Sri Lanka Bangladesh Nepal Bhutan & Maldives. We apply deep expertise in the payments industry to provide solutions to assist clients with their key business priorities drive growth and improve profitability. The VCA team provides a comprehensive range of consulting services to deliver solutions that address unique challenges in areas such as improving profitability strategic growth customer experience digital payments and running risk.

The individual will be part of VCA Data Science geographic team cluster of India and South Asia (INSA) markets and will be responsible for sales and delivery of  data science and analytics based solutions to Visa Clients.

What the Director Data Science Visa Consulting & Analytics does at Visa:

The Director Data Science at Visa Consulting & Analytics (VCA) blends technical expertise with business acumen to deliver impactful data-driven solutions to Visas clients shaping the future of payments through analytics and innovation. This role combines hands-on modeling with strategic leadership leading the adoption of Generative AI (Gen AI) and Agentic AI into Visas offerings.

This is onsite role based out of Mumbai. The role will require travel.

Key Responsibilities

Commercial Acumen/Business Development

• Collaborate with internal and external clients to comprehend their strategic business inquiries leading project scoping and design to effectively address those questions by leveraging Visas data.

• Drive revenue outcomes for VCA particularly focusing on data science offerings such as ML Model solutions data collaboration and managed service verticals within data science.

Technical Leadership

• Design develop and implement advanced analytics and machine learning models to solve complex business challenges for Visas clients leveraging Visanet data as well as Client Data

• Drive the integration and adoption of Gen AI and Agentic AI technologies within Visas data science offerings.

• Ensure the quality performance and scalability of data-driven solutions.

Strategic Business Impact

• Translate client needs and business challenges into actionable data science projects that deliver measurable value.

• Collaborate with cross-functional teams including Consulting Sales Product and Data Engineering to align analytics solutions with business objectives.

• Present insights and recommendations to both technical and non-technical stakeholders.

Team Leadership & Development

• Mentor and manage a team of data scientists and analysts fostering a culture of innovation collaboration and continuous learning.

• Set priorities provide technical direction and oversee the end-to-end delivery of analytics projects.

Innovation & Best Practices

• Stay abreast of emerging trends in AI and data science particularly in Gen AI and Agentic AI.

• Champion the adoption of new methodologies and tools to enhance Visas analytics capabilities and value to clients.

• Represent VCA as a thought leader in internal and external forums.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications :

Basic Qualifications:
Advanced degree (MS/PhD) in Computer Science Statistics Mathematics Engineering or a related filed from Tier-1 institute e.g. IIT ISI DSE IISc etc.
12 years of experience in data science analytics or related fields including 3 years in a leadership/management role.
Proven track record of building and leading high-performing data science teams.
Expertise in statistical analysis machine learning data mining and predictive modeling.
Proficiency in programming languages such as Python R or Scala and experience with ML frameworks (e.g. scikit-learn TensorFlow PyTorch).
Excellent communication presentation and stakeholder management skills.

Preferred Qualifications:

Exposure/prior work experience in payments and/or banking industry
Experience in consulting space or matrix team structure
Familiarity with cloud platforms (AWS Azure GCP) and big data technologies (Spark Hadoop).
Publication or conference experience in the data science/AI community.

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.

Remote Work :

No

Employment Type :

Full-time