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Data Project Manager Jobs in Pennsylvania (NOW HIRING)

INC Research

Senior Project Data Manager

Philadelphia, PA

$52.25 - $70.75/hr

Acts as Project Leader on a stand alone contract ("project") for Data Management, to include: a. primary customer contact for all contracted Data Management; b. direct liaison with Finance and ...

INC Research

Senior Project Data Manager

Philadelphia, PA · On-site

$52.25 - $70.75/hr

Acts as Project Leader on a stand alone contract ("project") for Data Management, to include: a. primary customer contact for all contracted Data Management; b. direct liaison with Finance and ...

Tyndale

Project Manager, AI and Data Science

Pipersville, PA · Hybrid

$52.75 - $71.25/hr

We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI ...

GAI Consultants

Data Center Project Manager

Homestead, PA · On-site

$109K/yr

We are seeking an experienced Data Center Project Manager to lead the delivery of complex, multidisciplinary data center and mission-critical projects across the United States. The candidate will be ...

GAI Consultants

Data Center Project Manager

Homestead, PA · On-site

$109K/yr

We are seeking an experienced Data Center Project Manager to lead the delivery of complex, multidisciplinary data center and mission-critical projects across the United States. The candidate will be ...

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All JobsData Project JobsData Project Manager JobsData Project Manager Jobs in Pennsylvania

Data Project Manager information

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$16

$57

$80

How much do data project manager jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data project manager in Pennsylvania is $57.65, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $67.45 per hour, depending on experience, location, and employer.

How does a data project manager typically collaborate with data analysts, engineers, and stakeholders during a project lifecycle?

A Data Project Manager acts as the central point of coordination between technical teams—like data analysts and engineers—and business stakeholders. They facilitate regular meetings to clarify project goals, align on deliverables, and resolve blockers swiftly. The role often involves translating business requirements into actionable tasks for the technical team, monitoring progress, and ensuring that communication flows smoothly among all parties. This collaborative approach helps ensure data projects are delivered on time and meet organizational objectives.

What is the difference between Data Project Manager vs Data Analyst?

AspectData Project ManagerData Analyst
Required CredentialsBachelor's in Business, IT, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data analysis tools
Work EnvironmentOversees projects, manages teams, coordinates between stakeholdersAnalyzes data sets, creates reports, visualizations, and insights
Employer & Industry UsageUsed across industries for managing data projects in tech, finance, healthcareCommonly employed for data interpretation and reporting roles in similar industries

The Data Project Manager focuses on planning, executing, and closing data-related projects, ensuring timely delivery and stakeholder communication. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What does a data project manager do?

A Data Project Manager oversees data-related projects, ensuring they are completed on time, within budget, and according to specified requirements. They coordinate teams of data analysts, engineers, and other stakeholders to collect, manage, and analyze data. Their responsibilities include project planning, risk management, resource allocation, and communication with clients or leadership. Data Project Managers play a crucial role in transforming raw data into actionable insights for organizations.

What are the key skills and qualifications needed to thrive as a data project manager, and why are they important?

To thrive as a Data Project Manager, you need strong project management abilities, data analysis skills, and a relevant degree in business, information technology, or a related field. Familiarity with project management tools (like Jira or Asana), data visualization platforms (such as Tableau or Power BI), and certifications like PMP or Agile/Scrum are commonly required. Exceptional communication, leadership, and problem-solving skills help drive cross-functional collaboration and resolve complex project challenges. These skills are crucial for ensuring projects are delivered on time, data is leveraged effectively, and stakeholder expectations are met.
What are popular job titles related to Data Project Manager jobs in Pennsylvania? For Data Project Manager jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Project Manager jobs in Pennsylvania look for? The top searched job categories for Data Project Manager jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Project Manager jobs? Cities in Pennsylvania with the most Data Project Manager job openings:
Data Project Manager jobs near you
Infographic showing various Data Project Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $119,904 per year, or $57.6 per hour.

Master Data Project Manager

Carlisle Companies, Inc.

Carlisle, PA • On-site

$50.25 - $68/hr

Full-time

Posted 28 days ago

Job description

Job Summary
The Master Data Project Manager owns the end-to-end process for new SKU setup and product lifecycle master data in ERP, including phase-in/phase-out (PIPO). This role ensures data, approvals, and sequencing are completed accurately and on time to support product launches, execution, and reporting. The Master Data Project Manager coordinates across Product Management, R&D, Quality, Finance, and Supply Chain to ensure products are launch-ready and aligned to business requirements.
Duties and Responsibilities:
SKU Setup Process Standardization & Master Data Governance
  • Define and document the end-to-end SKU setup process, and improve bottlenecks as they arise.
  • Own SKU setup from request through ERP activation, with accountability for launch readiness.
  • Establish clear ownership, and ensure completeness and accuracy of all required data elements, including Material Master, BOMs, Routings, Planning parameters, Costing inputs, Compliance documentation (SDS, TDS, COO, etc.), Transportation data and documentation, Forecast, and Marketing.
  • Ensure BOM, routing, costing, and planning parameters have rule-based validation, and coordinate corrections cross-functionally.
  • Implement governance controls to prevent process bypass and incomplete or unauthorized setup, reduce rework and errors, and standardize data and workflows across plants.
  • Partner with Compliance and IT teams to align workflows, permissions, and system design.

Cross-Functional Coordination
  • Lead cross-functional data coordination for new product launches (in alignment with PM Stage-Gate), SKU extensions (locations, packaging, variations), and product changes requiring system updates.
  • Build and manage an integrated timeline, critical path, and central tracking process aligned to PMAP (Product Management / R&D owned), MOC (Quality / R&D owned), and ERP master data readiness milestones.
  • Identify risks, manage dependencies, and escalate issues that could delay readiness.
  • Partner with Product Management, R&D, and Quality to align process timing with ERP readiness.
  • Provide regular stakeholder updates on SKU pipeline, readiness status, and risks and delays.
  • Serve as the point of escalation for SKU setup issues.

Project Management - Phase-In / Phase-Out (PIPO)
  • Define and manage a structured PIPO process, including tasks, ownership, and decision points.
  • Coordinate inventory strategy, including build, depletion, and obsolescence.
  • Align planning, procurement, and production activities.
  • Maintain oversight of active phase-in products, phase-out timelines and risks, and portfolio-level impacts; maintain a PIPO master list for historical tracking.
  • Ensure ERP data and timing remain aligned during phase-in/phase-out transitions.

Data Structure & Reporting
  • Own governance of key material master fields and classification structures.
  • Define and standardize category codes and hierarchies across material levels.
  • Ensure master data supports reporting, analytics, and decision-making, not just transactions.
  • Establish and maintain data standards for parent/child hierarchies, valid category combinations, and naming standards and mapping tables.
  • Ensure data structures support consistent reporting and KPI definition, and cross-functional analytics (finance, planning, sales, procurement).
  • Identify and resolve issues such as misaligned, inconsistent, or missing category assignments, and overly granular or redundant values.
  • Other projects as assigned.

Required Knowledge/Skills/Abilities:
Teamwork
  • Builds trust with others by encouraging open dialogue and collaboration. Seeks diverse perspectives to create stronger solutions.

Managing Change
  • Able to keep on track despite difficulties or barriers that may be encountered. Addresses conflict to find common ground solutions.

Continuous Improvement
  • Retains a mindset of always striving to make things better. Applies continuous improvement tools and processes to every aspect of the role.

Customer Focus
  • Listens to understand the needs of customers (internal and external). Builds trusting relationships and seeks innovative solutions for all customers. Always has the customer's needs top of mind.

Continuous Learning
  • Understands individual strengths and opportunity areas and seeks development opportunities to leverage strengths and lean into opportunity areas. Open to both giving and receiving feedback.

Drive for Results
  • Always has a sense of urgency to solve problems with actions. Seeks to align goals with attainment of organizational strategy. Has a sense of ownership and personal accountability for actions taken.

Education and Experience:
  • Required:
    • Bachelor's degree in Business Administration, Engineering, Supply Chain or related field.
    • 3-5 years' experience in Supply Chain, Product Lifecycle, Project Manager, or Master Data Governance
  • Preferred:
    • Experience with SAP and WMS/Warehouse Management Systems
    • BOM, Routing and Data Planning
    • Training Cross Functional Teams and Process Documentation

Working Conditions:
  • The position typically operates during standard business hours of Monday - Friday (8am - 5pm), with occasional flexibility required to accommodate meetings across time zones or critical business needs. The employee is expected to comply with all company policies related to data security, confidentiality, and remote work standards.
  • Periodic travel may be required for team meetings, training, or company events, with advance notice provided. The company will reimburse travel expenses in accordance with its travel and expense policy.
  • Primarily remote-based with occasional travel to manufacturing, warehouse, and construction sites across the United States.
  • Exposure to typical construction and manufacturing environments including noise, dust, and variable weather conditions.

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