Senior Director- Data Engineering

Calling all innovators - find your future 're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved.

If you want to make an impact on a global scale, come make a difference  Title Senior Director
- Data Engineering About your role:

You will be responsible for the strategy, development, and delivery of data products built on large-scale datasets. You will lead talented data engineering and development teams to create cutting-edge data solutions that address complex business challenges and deliver trusted, high-quality data to our clients.

Your role will involve strategic planning, data product ownership, and ensuring the successful delivery of scalable, reliable data products.

What you’ll do:

Define and execute the strategy and roadmap for data products built on large-scale datasets to support Fiserv's business goals.

Lead and manage teams of data engineers and developers, providing direction and guidance to ensure successful delivery of data products.

Oversee the design, development, and implementation of scalable data pipelines, data platforms, and data products that align with Fiserv's strategic goals.

Lead the delivery of AI-ready data products and platform capabilities that support machine learning and generative AI use cases, including feature engineering, vector search, and retrieval-augmented generation (RAG) pipelines.

Partner with product, business, and cross-functional teams to gather requirements and translate them into data product specifications and technical solutions.

Ensure data quality, reliability, security, and governance across data products, including meeting SLAs for client data deliveries.

Monitor project progress, identify risks, and implement mitigation strategies to ensure timely and on-budget delivery.

Drive performance, scalability, and cost optimization of large-scale data processing, along with engineering best practices, automation (including AI-assisted development), and release quality controls.

Experience you’ll need to have:10+ years of experience in data engineering, big data, or software development, including building data products on large-scale datasets.
4+ years of experience leading data engineering or data product teams.
4+ years of experience in Python, Java, or similar programming languages.
4+ years of hands-on experience with Apache Spark for large-scale distributed data processing.
4+ years of experience with SQL and data modeling for large, complex datasets; cloud data platforms and services on AWS, Azure, or GCP.
4+ years of experience with CI/CD pipelines, Dev Ops/Data Ops practices and Agile methodologies.

Bachelor’s degree in data science, Computer Science, Engineering, Mathematics or an equivalent combination of education, work, and/or military experience.

Experience that would be great to have:

Experience defining and managing data products as part of a product management or data mesh approach.

Experience in the financial services industry.

Experience with Databricks, including Delta Lake, Unity Catalog, and Lakehouse architecture.

Experience enabling AI/ML and generative AI solutions on Databricks or similar platforms, such as feature stores, vector databases, or RAG pipelines

How you’ll work:

This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

Travel:

Appro…