Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses, and government entities.
We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants, and government entities with a secure, convenient, and reliable way to pay and be paid in 170 countries and territories.
As the leader of the Data & AI organization at Bengaluru, you will work in a rapid-paced environment leading various Data and System Engineering teams developing next generation solutions for Visa. You will have accountability for strategy, planning, hiring, vendor management, and overall execution & delivery of multiple products for Visa’s AI Governance (AIG). You will face big challenges and question the status quo. You will change the way data products are developed at Visa with this initiative. You will build upon an established Data Science research and development practice for Data Products, focused on AI Governance and Compliance.

Successful candidates will be highly adaptable, possess strong interpersonal and organizational skills, and able to effectively manage multiple work streams. You should have had experience collecting or analyzing engineering data and using this data to drive business decisions.

In this role, you will spearhead product development and engineering efficiency in product teams by delivering data services, tools, and systems that will accelerate creating products featuring the best customer experience with the highest reliability, security, and outcome for Visa. You will also evangelize the Data Science, ML, AI, NLP, Generative AI, Engineering Fundamentals for development teams at Visa. This includes engaging in technical and functional discussions with all the engineering teams.

We will take a data-driven approach and are passionate about having a culture of learning fast and constantly iterating towards success. You will wear multiple hats and demonstrate breadth, depth, and leadership. The solutions you help create will have a multiplier effect across all of Visa.

Responsibilities:

• Executes the vision for the Data & AI organization, ensuring delivery of differentiating data products and services for Visa and its partners. The successful candidate is continually engaged in leading and inspiring the teams in the performance of all duties and responsibilities.
• Build on an established Data Science research and development practice for AI Products, focused on machine learning, Generative AI, and analytics for the payments industry
• Extensive cross-organization collaboration playing a crucial role in interfacing with various technology teams and business stakeholders to identify requirements, converting them to functional specs, prioritizing, and driving execution using agile methodologies.
• Evangelize developer productivity solutions and systems across all the development teams to drive adoption.
• Work collaboratively across team boundaries to share common infrastructure and functional capabilities. Provide feedback into core product teams to influence their roadmap and strategy.
• We are looking for a seasoned individual to drive game-changing AI product development in and around Visa
• Lead, grow and mentor a team of 15+ engineers, Data Scientists, Analysts & Directors.

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

Qualifications

Basic Qualifications:
15-18 years of management experience with a bachelor’s degree or 12 years of experience with an advanced Degree
Advanced degree a plus

Preferred Qualifications:
Strong background in Data Engineering, Machine Learning, AI, Data Science
Sound knowledge about AI Governance, Generative AI, and Trustworthy AI
Experience leading teams in building sophisticated real-time, near real-time data processing pipelines on Big Data (Hadoop/Spark etc.)
Strong data analysis skills are a must. Be able to mentor Data Scientists and Engineers on best practices and development & productionization
Significant experience implementing large-scale projects, using a geographically distributed technology organization in a highly matrixed environment
Familiarity with Agile/SCRUM development methodologies and software development lifecycle principles
Strong business analytical skills to develop technical and functional requirements, use cases, user story maps and other related artifacts
Experience in reviewing technical solution design and evaluation to ensure it meets business requirements and long-term product goals
Reputation for being a collaborative thought partner and business leader, skilled at establishing formal and informal networks within the company
Superior verbal, written and interpersonal communication skills with both technical and non-technical audiences
Experience in working with agile lifecycle and/or tracking and process management tools e.g. JIRA, JIRA Align etc.
Ability to work in a complex environment, Global/International experience, and the ability to work across cultures and time zones
Positive influencing skills both verbally and through the preparation of written materials in order to build relationships and effectively communicate business needs to internal technology groups
Ability to interface and cultivate excellent working relationships both within technology, business and vendors.

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.