Data Engineering Delivery, AI Platform Leader

Calling all innovators find your future at Fiserv.

Were 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 were involved. If you want to make an impact on a global scale come make a difference at Fiserv.

Job Title

What does a successful Data Engineering AI Platform Lead do

As the Data Engineering AI Platform Lead you will define and build the data and artificial intelligence (AI) platform that supports modern fintech products operational decisioning and regulatory reporting. You will work across engineering product risk operations and governance teams to deliver real-time data products scalable platform foundations and reliable machine learning infrastructure. Your work will improve data quality platform adoption and delivery speed across transaction and analytical workloads.

What youll do:

• Build and lead a senior data engineering organization across streaming data platform machine learning (ML) platform observability and governance domains
• Define and deliver target architecture for Kafka Flink Spark lakehouse storage Delta Lake or Apache Iceberg tables orchestration data contracts semantic layers feature stores and lineage
• Transform core banking payments merchant customer risk dispute and operational data into governed data products with clear ownership service level agreements (SLAs) measurable quality controls and defined business consumers
• Drive migration from legacy batch and report-centric data flows to event-driven data infrastructure that supports AI fraud servicing reconciliation and regulatory reporting use cases
• Establish operating mechanisms for roadmap reviews incident management data quality scorecards cost management platform adoption metrics and executive reporting
• Manage and develop high-seniority engineering talent through hiring coaching performance management and technical leadership across architecture and design reviews
• Define governance controls for personally identifiable information (PII) Payment Card Industry (PCI) data handling General Data Protection Regulation (GDPR) data retention data residency consent audit trails encryption tokenization and regulatory evidence requirements
• Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.

What you will need to have:

• 13 years of experience in data engineering data platform engineering or distributed data systems within technology fintech banking payments commerce or similar regulated environments
• 8 years of experience defining architecture and delivering large-scale data platforms for real-time transaction processing governed data products analytics or AI and ML use cases
• 5 years of experience managing and developing teams
• 8 years of experience using Kafka Flink Spark Databricks Snowflake Delta Lake Apache Iceberg dbt Apache Airflow MLflow observability tooling and data governance platforms or similar technologies
• 6 years of experience designing data platforms for transaction ledgers settlement files authorization events payment scheme data account master data customer profiles merchant hierarchies and compliance reporting
• 5 years of experience implementing controls for data privacy encryption tokenization lineage auditability retention and data quality in regulated environments
• Bachelors degree in Computer Science Data Engineering Information Systems Engineering or a related field or equivalent combination of education related experience and/or military experience
• Experience building feature stores semantic layers and reusable data products consumed by AI operations risk and regulatory reporting teams
• Experience modernizing legacy batch data estates into event-driven data architectures
• Experience supporting executive scorecards for platform reliability lineage quality and cost management

What would be great to have:

• Masters degree in Computer Science Data Engineering Information Systems Engineering or a related field or equivalent combination of education related experience and/or military experience

Travel

This role requires occasional travel to other locations in the country

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin gender gender identity sexual orientation age disability protected veteran status or any other category protected by law.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.