Job 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
What it’s all about-
Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision making across regions We are seeking a Director Head of Data Engineering to lead the design delivery and evolution of scalable data engineering capabilities that underpin Data Science AI and client facing products.
This role is accountable for setting the technical direction pace and engineering standards for data platforms pipelines and infrastructure while ensuring strong alignment with Agile product delivery commercial priorities and Global data strategies.
The role requires deep hands on data engineering expertise combined with strong leadership and stakeholder management The Director Head of Data Engineering will guide teams into an AI first era spanning data platforms cloud infrastructure automation and modern engineering practices while ensuring reliable secure and commercially viable delivery.
Primary Responsibilities:
- Own the data engineering strategy and execution across Data Science and Global Data Products ensuring platforms pipelines and tooling are scalable reliable and fit for an AI first future
- Lead and develop high performing data engineering teams setting clear technical standards engineering best practices and delivery expectations
- Set the pace and direction for modern data engineering including cloud native architectures data pipelines real time and batch processing platform reliability and automation
- Guide teams on best practices across data architecture data quality observability security and performance ensuring consistency across regions and teams
- Partner closely with Product Owners and Agile delivery leads to align data engineering work with product roadmaps sprint planning and delivery prioritisation
- Ensure delivery priorities are clearly defined sequenced and executed in line with business value client impact and commercial objectives
- Collaborate closely with senior stakeholders across Data Science Product Consulting Strategy and Commercial teams to align engineering delivery with client and market needs
- Act as a key interface with Global data engineering and platform teams ensuring regional solutions leverage global capabilities standards and investments
- Drive the adoption of AI first engineering approaches across infrastructure data platforms and cloud environments enabling faster experimentation and scalable model deployment
- Ensure strong governance around data security privacy compliance and resilience working in partnership with Risk Legal and Compliance teams
- Continuously improve engineering efficiency speed to market and cost effectiveness through tooling automation and platform optimisation
- Support the evaluation and adoption of new technologies platforms and vendors where they create clear technical or commercial advantage
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications:
- Bachelor degree in Computer Science Engineering Data or a related technical field or equivalent practical experience.
- Ten or more years of experience in data engineering platform engineering or related technical leadership roles.
- Significant experience leading data engineering teams in complex large scale environments.
- Demonstrated experience working in Agile product delivery models.
Preferred Qualifications:
- Deep expertise in modern data engineering architectures including cloud platforms data lakes data warehouses streaming technologies and orchestration tools
- Strong understanding of AI and machine learning enablement from a data and infrastructure perspective including feature pipelines model deployment and monitoring
- Proven ability to set engineering standards and guide teams through technical transformation at scale
- Strong commercial mindset with the ability to prioritise engineering work based on business value client impact and return on investment
- Experience aligning regional engineering teams with global platforms standards and operating models
- Excellent stakeholder management skills with the ability to influence senior technical and non technical leaders
- Experience operating in regulated environments with strong awareness of data privacy security and compliance requirements
- Comfortable operating in fast changing environments with evolving priorities and dependencies
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.
