Product Data Manager

Infinite Tek Inc.; North Carolina; On-site; USD 120,000 - 180,000; Full time

Job summary

Infinite Tek Inc. seeks a senior data leader to oversee enterprise data management and analytics initiatives. You will direct a team of associates, drive data quality, governance, reporting, and analytics across the organization, and ensure alignment with business objectives.

Responsibilities include leading Data Warehouse enhancements, policy creation, documentation, performance management, and strategies to improve data capabilities for banking and regulatory needs.

Qualifications

• Bachelor's Degree and 8 years of experience in Risk Management including Enterprise Data Warehouse.
• High School Diploma or GED and 12 years of experience in Risk Management including Enterprise Data Warehouse.
• Understanding of data warehousing and ETL processes and related technologies.
• Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/Snowflake.

Responsibilities

• Data Enhancement - Leads projects and improvements to enhance quality and storage of enterprise data; manages a team.
• Business Support - Creates data policies and oversees data validation and reporting for enterprise data.
• Managerial Functions - Sets expectations, changes policies as needed, and manages performance and development.
• Business Strategy - Facilitates process improvements and strategies for data management capabilities.

Skills

Data governance

Team leadership

Risk management

Education

Bachelor's Degree

High School Diploma or GED

Tools

AWS

Snowflake

ETL processes

Job description

This position leads a team of associates who facilitate technical innovation and continuous improvement initiatives through enterprise data management. Directs initiatives that improve enterprise data quality, governance, reporting, and analytics. Provides expert guidance and leadership to associate team, management, and lines of business. Oversees all Enterprise Data Warehouse activities, including the creation and maintenance of related documentation. Implements strategies and process improvements that achieve data management goals in alignment with wider organizational objectives.

Role & Responsibilities:

• Data Enhancement - Leads projects and process improvements that enhance the quality, management, and storage of enterprise data. Manages a team of associates who facilitate initiatives and data management. Directs activities that improve profiling, exception reporting, data analysis, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Delegates work tasks and makes adjustments as needed to ensure the appropriate data governance.
• Business Support - Creates data policies and procedures to be used both within the department and enterprise-wide. Reviews feedback from associates in order to identify areas of improvement within data management capabilities. Oversees data validation and reporting to ensure the quality and completeness of data prior to business use. Directs the creation and maintenance of technical documentation for the Enterprise Data Warehouse. Makes modifications as necessary to Enterprise Data Warehouse processes in order to enhance efficiencies.
• Managerial Functions - Establishes and monitors expectations to achieve company and department goals. Makes appropriate changes to team policies, procedures, and efficiencies in order to meet objectives. Manages the performance, training, and evaluation of assigned staff. Maximizes department achievements by providing professional development.
• Business Strategy - Facilitates the implementation of process improvements and strategies that develop the Bank's data management capabilities. Serves as an expert data resource to other management, associates, and project teams. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.

Requirements

Qualifications & Additional Information

• Bachelor's Degree and 8 years of experience in Risk Management including Enterprise Data Warehouse OR High School Diploma or GED and 12 years of experience in Risk Management including Enterprise Data Warehouse
• Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the financial service and insurance industry.
• Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake