IT Manager, Data Management

Description

We are looking for an experienced IT Manager, Data Management to lead the company's enterprise data strategy in Fairless Hills, Pennsylvania. This role will shape governance practices, reporting standards, and scalable data solutions that improve decision-making across operational and financial functions. The ideal candidate brings strong leadership, deep technical knowledge in data architecture and analytics, and the ability to turn complex information into practical business value.

Responsibilities:
Create and refine enterprise-wide policies that govern data quality, stewardship, and usage across business systems.
Direct the design of data architecture standards for the organization's data lake and ensure scalable, reliable information flow between platforms.
Oversee initiatives that improve data consistency, master data alignment, and integration across operational, dispatch, and enterprise applications.
Lead the development of data pipelines, transformation processes, and structured models that support analytics, forecasting, and financial reporting.
Guide the organization's reporting and business intelligence roadmap, including executive dashboards, scorecards, and standardized performance metrics.
Expand access to trusted insights by introducing appropriate self-service reporting capabilities for business users.
Partner with technology and project leadership to identify automation opportunities and deliver advanced analytics solutions.
Collaborate on future AI initiatives by evaluating predictive use cases, supporting model deployment, and measuring business impact from data-driven products.
Manage, coach, and develop team members while building a scalable data organization aligned with company growth objectives.

Requirements

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Engineering, or a related discipline; an advanced degree is preferred.
At least 7 years of experience in data analytics, business intelligence, data engineering, or closely related functions.
Minimum of 3 years of experience leading teams, supervising staff, or managing technical talent.
Demonstrated experience working with enterprise data lakes, data architecture, and cross-system data management.
Strong background in data modeling and building reporting solutions that support operational and financial analysis.
Experience with AI or machine learning solution development or deployment is preferred.
Strong communication, analytical thinking, and problem-solving skills with the ability to influence cross-functional stakeholders.
Familiarity with technologies such as Active Directory, backup platforms, Cisco environments, computer hardware, and configuration management is beneficial.

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