IT Manager-Data Management & Reporting

Silvi Concrete Products, Inc.•Hatboro, PA

108d•Onsite

About The Position

The IT Manager-Data Management & Reporting is responsible for leading the organization’s enterprise data strategy, analytics framework, reporting architecture, and AI development initiatives. This role oversees data governance, enterprise data lake utilization, advanced reporting, predictive analytics, and AI-driven software enhancements across ERP, dispatch, CRM, and related enterprise platforms. Given the organization’s ERP + dispatch + CRM integration complexity and the strategic importance of AI initiatives focused on margin optimization, dispatch optimization, demand forecasting, and operational analytics, this role serves as a critical bridge among technology, operations, and executive leadership.

Requirements

Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, or related field required.
7+ years of experience in data analytics, BI, or data engineering roles.
3+ years of leadership or supervisory experience.
Experience with enterprise data lakes and ERP systems.
Strong SQL and data modeling expertise.

Nice To Haves

Master’s degree preferred.
Experience developing or deploying AI/ML solutions preferred.

Responsibilities

Develop and maintain enterprise data governance standards.
Define and oversee data architecture standards for the company’s data lake.
Ensure data accuracy, integrity, and consistency across all systems.
Oversee master data alignment across ERP, dispatch, CRM, and operational systems.
Partner with IT and Software/Projects leadership on integration initiatives.
Lead the mining, modeling, and transformation of enterprise data.
Establish and maintain scalable data pipelines across systems.
Develop structured data models for operational and financial reporting.
Identify automation and advanced analytics opportunities.
Design and oversee enterprise reporting strategy.
Develop executive dashboards and KPI scorecards.
Standardize reporting definitions and enterprise metrics.
Enable self-service reporting capabilities where appropriate.
Lead AI product strategy in collaboration with the AI Product Manager.
Identify predictive use cases including demand forecasting, dispatch optimization, margin analysis, and credit risk assessment.
Develop and deploy AI models leveraging enterprise data assets.
Ensure measurable ROI from AI initiatives.
Manage and mentor direct reports.
Establish performance metrics and development plans.
Build scalable team structure aligned with enterprise growth.
Promote a culture of data-driven decision-making.