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DATA PRODUCT OWNER-BANKING 12+ YEARS EXPERIENCE

Infini-TekPhoenix, AZ🇺🇸United StatesPosted 24 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
23 hours ago

Job Description

REMOTE OK, FROM NC/ AZ

 

Role & Responsibilities:

  • Data Enhancement - Leads the implementation of enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics and assists management with special data projects.
  • Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use. May assist in training or mentoring less experienced consultants in the work group.
  • Business Strategy - Facilitates strategies that develop the Bank’s data management capabilities. Assists management in creating and implementing a strategic road to achieve planned objectives. Works cross-functionally to mature department presence within Bank business units. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
  • Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials. Identifies and creates centralized business critical reports.
 

Requirements

Qualifications & Additional Information

  • Bachelor''s Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
  • Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  • Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes
  • Knowledge of data spreadsheets and databases
  • Hands-on SQL experience for writing complex queries

 

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