Sr. Manager, Data Products

infini-tek; Raleigh (NC); On-site; USD 100,000 - 160,000; Full time

Job summary

infini-tek seeks a senior data leadership role in Raleigh to guide data governance, quality, and analytics across the Enterprise Data Warehouse. You will direct initiatives that improve data provisioning, reporting, and documentation, aligning with organizational goals.

The position requires extensive experience in data management within the financial services sector and a strong track record of managing cross-functional teams and strategic projects.

Qualifications

• Bachelor's Degree required with 8+ years in Risk Management incl. Enterprise Data Warehouse.
• Experience with data warehousing, transformation, ETL processes and data governance.
• Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/Snowflake.

Responsibilities

• Data Enhancement: lead data quality, profiling, analytics and governance in the Enterprise Data Warehouse.
• Business Support: define data policies, validate data, and maintain technical docs for data systems.
• Managerial Functions: oversee staff performance, training and efficiencies to reach goals.
• Business Strategy: drive data management capabilities and stay updated on industry trends.

Skills

Data governance

Data warehousing

Leadership

Stakeholder management

Enterprise data

Education

Bachelor's Degree

High School Diploma

Tools

AWS

Snowflake

ETL

Job description

Raleigh, United States

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