IT Manager- Enterprise Applications

Title of Position: IT Manager, Data Management, Analysis, Reporting & Development

Location: Fairless Hills, PA

Industry Leading Benefits: Medical, Prescription, Dental, Vision, 401K, Pension, Short- and Long-Term Disability, Life Insurance, Tuition Reimbursement.

Silvi Materials has been expanding our “A” Team of employees since 1947! Our team has grown to 15 companies, employing over 950 people across 30 locations in Southeastern Pennsylvania, New Jersey, and North Carolina. Silvi is large enough to provide the stability you need, but small enough that you can feel your individual contribution to our success. We value the fresh ideas and perspectives of each new member of our team.

What does Silvi Materials offer you, you may ask?

• Phenomenal Benefits: Medical, Vision, Dental, Prescription, Vacation, Paid Holidays, and so much more!
• Your future in mind: With 401(k) (at select locations) and/or pension options. We want all employees to build a great retirement!
• Growth at Silvi Materials: We offer each employee the opportunity to move into any facet of our complex business. And our tuition reimbursement program is the perfect springboard to help you get there!

So, what does an IT Manager, Data Management, Analysis, Reporting & Development do?

The IT Manager – Data Management, Analysis, Reporting & Development is responsible for leading the organization’s enterprise data strategy, analytics framework, and 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 around margin optimization, dispatch optimization, demand forecasting, and operational analytics, this role serves as a critical bridge between technology, operations, and executive leadership.

This position will manage one direct report, a Senior Business Systems Analyst, with the potential for an additional direct report in 2027, an AI Product Manager. The team is responsible for mining structured and unstructured data from the enterprise data lake to deliver operational intelligence, financial insights, predictive modeling, and AI-enabled capabilities across enterprise systems.

Enterprise Data Strategy & Governance

• 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.

Data Lake Management & Analytics

• 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.

Reporting & Business Intelligence

• 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.

AI & Predictive Development (2027 Forward)

• 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.

Leadership & Team Development

• 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.

Core Competencies

• Strategic thinking with operational focus.
• Strong analytical and problem-solving capabilities.
• Executive-level communication skills.
• Ability to translate complex data into actionable insights.
• Cross-functional leadership and change management.

Key Performance Indicators (KPIs)

• Enterprise reporting accuracy and adoption rate.
• Reduction in manual reporting processes.
• Successful deployment of AI models with measurable ROI.

Qualifications

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, or related field required. Master’s degree preferred.
• 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.
• Experience developing or deploying AI/ML solutions preferred.
• Strong SQL and data modeling expertise.

Physical Demands

In a typical work setting, people in this job:

• Use hands/fingers to type and move office objects
• Sit for long periods of time
• Hear sounds and recognize the difference between them
• See details of objects that are less than a few feet away and far distances
• See differences between colors, shades, and brightness.
• Lift 20 pounds on occasion
• Kneel, stoop, crouch, bend, stretch, twist or crawl, on occasion

Silvi Materials does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Retirement plan
• Tuition reimbursement
• Vision insurance

Application Question(s):

• What is your requested salary?
• How much expereince do you have with maintaining enterprise data governance standards?

Education:

• High school or equivalent (Preferred)

Experience:

• IT management: 3 years (Preferred)
• SQL: 5 years (Preferred)
• Data analytics: 5 years (Preferred)

License/Certification:

• Driver's License (Required)

Work Location: In person