Sr. Manager AI and Data Engineering

The Senior Manager of AI Engineering & Data Engineering will lead the design development and deployment of scalable AI/ML and data solutions that enhance the operational capabilities of Visas Client Services organization. This role combines handson technical leadership with people management and is responsible for delivering highimpact AI systems modern data pipelines and analytical platforms that support service excellence at Visa.

This leader will oversee a team of AI engineers machine learning engineers and data engineers responsible for building productiongrade AI models optimizing data infrastructure and delivering automation intelligence and insights across CS workflows. The ideal candidate brings deep experience in data engineering practical AI implementation and modern ML technologies along with a strong ability to translate business needs into technical solutions.

Key Responsibilities

AI Engineering & Applied Machine Learning

• Architect develop and deploy productionready AI/ML systems including LLMbased solutions NLP models forecasting models and classification systems.

• Build and maintain scalable model training evaluation and inference pipelines aligned with Visas AI governance security and reliability standards.
• Implement retrievalaugmented generation (RAG) vector databases prompt engineering and other modern AI engineering techniques to drive automation and intelligence in Client Services.
• Ensure models meet operational requirements including accuracy performance fairness uptime and continuous monitoring.

Data Engineering & Platform Development

• Lead the development of robust scalable data pipelines to support AI/ML analytics and operational reporting.
• Oversee data modeling data quality frameworks lineage tracking and observability across critical Client Services datasets.
• Integrate structured and unstructured data sources into Visas enterprise data ecosystem to enable AI solutions at scale.
• Partner with enterprise data teams to align on data governance standards and best practices.

Technical Leadership & People Management

• Manage and mentor a team of AI and data engineers fostering strong engineering practices code quality and knowledge sharing.
• Perform architectural reviews provide technical guidance and enable the team to deliver highquality reliable solutions.
• Drive sprint planning resource allocation backlog prioritization and delivery management for endtoend AI and data initiatives.
• Build a culture of innovation experimentation accountability and continuous improvement.

Business Partnering & CrossFunctional Collaboration

• Work closely with leaders across Client Services to identify opportunities where AI and data engineering can reduce operational friction and improve client outcomes.
• Communicate technical roadmaps risks dependencies and impact to stakeholders and senior leadership.
• Collaborate with Product Technology and Enterprise AI partners to align on architectural strategies and shared platforms.
• Translate business requirements into actionable technical designs and measurable success metrics.

Operational Excellence

• Ensure solutions follow Visas compliance privacy and risk standards.
• Establish model and data reliability practices including automated testing observability dashboards monitoring and alerting.
• Drive continuous optimization of performance cost efficiency and scalability of AI and data infrastructure.

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

Qualifications :

Basic Qualifications
89 years of experience in data engineering AI engineering or machine learning with increasing technical and leadership responsibilities.
34 years of handson AI engineering experience including building and deploying production AI/ML systems.
Strong proficiency in:
Python (core ML ecosystem) SQL and distributed data technologies.
AI/ML frameworks such as TensorFlow PyTorch Scikitlearn and LLMrelated toolchains.
Data engineering tools such as Spark Airflow Databricks or similar.
Cloud platforms (AWS GCP or Azure) and containerization (Docker Kubernetes).
Experience implementing MLOps practices using CI/CD model monitoring feature stores experiment tracking and automated deployment pipelines.
Proven ability to lead teams and deliver complex multistakeholder technology projects endtoend.
Demonstrated ability to work with ambiguity influence without authority and operate in a matrixed enterprise environment.

Preferred Qualifications
Experience with LLMs RAG architectures embeddings vector search and prompt engineering.
Familiarity with enterprisescale data security privacy and governance frameworks.
Knowledge of operational workflows and data needs within client services customer operations or financial services.
Bachelors degree in computer science Engineering Data Science or related field.

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