VP, Data & Analytics Engineering

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

About your role:

As VP Data & Analytics Engineering you will lead Data & Analytics Engineering for the business-facing tier of the enterprise data ecosystem. You will work with data platform governance AI product risk operations and business leaders to transform curated data into trusted discoverable secure and easy-to-consume products. Your work will help Fiserv connect enterprise data architecture to measurable business outcomes client value operational resilience and responsible AI-enabled consumption.

What youll do:

• Define and execute a multi-year roadmap for enterprise data products self-service analytics client and internal data delivery and AI-enabled data consumption.
• Own the architecture and operating model for the enterprise consumption layer including semantic models metrics stores governed views reporting data products application programming interfaces embedded analytics and AI integration endpoints.
• Build and operate reusable business-ready data products with defined documentation lineage entitlements quality measures and consumption guidance.
• Establish enterprise standards for dashboards scorecards operational reporting data extracts self-service analytics customer-facing reporting and governed data sharing.
• Partner with leaders across Risk Operations Product Sales and other business domains to translate business outcomes into scalable reusable data capabilities.
• Embed data contracts automated quality checks metadata observability and policy enforcement into the data consumption lifecycle.
• Lead and develop engineering teams responsible for enterprise analytics data product delivery consumption platforms and operational execution.
• Hire coach and support succession planning for engineering leaders while building accountable inclusive teams that deliver measurable outcomes.
• Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.

Experience youll need to have:

• 15 years of experience in enterprise data platforms data engineering analytics engineering business intelligence data architecture or related technology domains.
• 12 years of experience managing and developing teams responsible for enterprise-scale platforms cross-functional delivery and distributed engineering execution.
• 12 years of experience modernizing data or analytics ecosystems in regulated enterprise environments using cloud data platforms governed data models and business intelligence platforms.
• 12 years of experience connecting architecture and engineering strategy to business outcomes adoption metrics operational resilience service levels and regulatory commitments.
• Experience with analytics engineering enterprise semantic layers reusable metrics frameworks governed business definitions and data product management.
• Experience with business intelligence ecosystems such as Power BI Cognos Tableau or equivalent analytics platforms for enterprise reporting and self-service analytics.
• Experience designing data consumption architectures using embedded analytics customer-facing reporting application programming interfaces and governed data sharing.
• Experience with AI-enabled data consumption patterns including retrieval-augmented generation trusted enterprise knowledge layers metadata lineage access enforcement evaluation and human oversight.
• Bachelors degree or higher in Computer Science Data Science Engineering Business Administration or related field or equivalent combination of education related experience and/or military experience.

Experience that would be great to have:

• Modern cloud data platforms such as Snowflake Databricks Microsoft Fabric Amazon Redshift Google BigQuery or related technologies.
• Metadata management data catalogs lineage critical data elements data quality controls and platforms such as Collibra or equivalent tools.
• Experience with distributed data processing and integration patterns using Spark PySpark Kafka Representational State Transfer services microservices or modern engineering delivery practices.
• Experience enabling data monetization through governed analytics products application programming interfaces reporting services or value-added data offerings.

How youll 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 experience helps you with your overall onboarding experience and leads to stronger productivity.

Salary Range

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 individuals status as a veteran.

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. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiservs Disability Accommodation Policy for additional information.

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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.

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