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, DevOps/DataOps 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
Approximately 10% travel off-site or to other office locations is expected.
Sponsorship
You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered.
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- Salary Range
- $145,000.00 - $240,000.00
These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion.
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 Equal Opportunity
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.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.
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