Senior Director - Data Engineer - Data and AI Platform
Bangalore, INDIA, India
Visa
Visa digitaalinen ja mobiilimaksuverkko on eturintamassa uusien maksujen, sähköisten ja kontaktivarojen maksutekniikan, jotka muodostavat rahan maailmanCompany 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
The Data and Artificial Intelligence Platform (DAP) group is a key component of Visa's Technology organization that provides the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. DAP delivers secure, high-quality and easy-to-use Visa core data assets as a service, together with reliable and scalable data platform as a service, to enable Visa and our partners to rapidly and efficiently innovate data-driven business products and services to lead the digital payment industry. Areas of focus include Business Intelligence and Analytics, Artificial Intelligence, Machine Learning, Data as a Service, and Platform as a Service etc. The portfolio comprises of over 60 data products & platforms for various external clients and internal lines of business. We provide services on behalf of traditional bank customers to millions of cardholders and merchants globally. Our application development is on the cutting edge of technology, and we are viewed as innovative leaders within our industry.
The Platform operationalizes the delivery of AI and decision intelligence to ensure ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, platform automates the updates to data, models, and applications. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, this is an ideal place for you!
We are looking for a visionary Senior Director to lead the development and launch of our next-generation Merchant Data Platform. This platform transforms how we manage, enrich, and leverage merchant data, providing our businesses and partners with unparalleled insights and capabilities. Key responsibilities include developing comprehensive data strategies and implementing advanced technological processes. The role requires close collaboration with senior leaders across various departments to ensure alignment and integration of data management practices. You will define the product vision, strategy, and roadmap, and manage a high-performing team of data engineers and full stack engineers to deliver exceptional results.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
12+ years of relevant work experience and a Bachelors degree, OR 15+ years of relevant work experience
Preferred Qualifications:
15+ years of experience with leading and architecting large scale distributed systems
Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred
Requires 15+ years of experience, at least 8+ of which were in leading engineering teams
Proven experience delivering large scale, highly available production software.
Ability to handle multiple competing priorities in a fast-paced environment
A deep understanding of end-to-end software development in a team, and a track record of shipping software on time
Payment processing background desirable but not required
Experience working in an Agile and Test-Driven Development environment. Strong business and technical vision
Strong technology and leadership background building enterprise scale applications using Big Data technologies like Hadoop, Spark, Scala, NoSQL, Kafka, and Data Pipelines desirable.
Experience working with Data and AI, designing, and building ML pipelines to train or serve models.
Experience using GenAI when building systems.
Responsible for the overall development life cycle of the solution and manage complex products with significant bottom-line impact
Work with and possibly manage remote teams
Work with product managers in developing a strategy and road map to provide compelling capabilities that helps them succeed in their business goals.
Work closely with senior engineers to develop the best technical design and approach for new product development.
Instill best practices for software development and documentation, assure designs meet requirements, and deliver high quality work on tight schedules.
Project management: prioritization, planning of projects and features, stakeholder management and tracking of external commitments
Operational Excellence: monitoring & operation of production services
Identify opportunities for further enhancements and refinements to standards and processes.
Mentor junior team members, develop departmental procedures and best practices standards.
Hire and retain world class talents to deliver data platform projects.
Strong Negotiation Skills: You will be a distinguished ambassador for product development, collaborating, negotiating, managing tradeoffs and evaluating opportunistic new ideas with business partners.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Big Data Business Intelligence Computer Science Data management Data pipelines Distributed Systems Engineering Generative AI Hadoop Kafka Machine Learning NoSQL Pipelines Privacy Scala Spark TDD
Perks/benefits: Career development
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