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Data Project Management Jobs in Pennsylvania (NOW HIRING)

INC Research

Senior Project Data Manager

Philadelphia, PA

$52.25 - $70.75/hr

Ensures the contracted Data Management for clinical studies are carried out by the Company in accordance with the executed contract and the customer's expectations. The scope may include projects ...

INC Research

Senior Project Data Manager

Philadelphia, PA · On-site

$52.25 - $70.75/hr

Ensures the contracted Data Management for clinical studies are carried out by the Company in accordance with the executed contract and the customer's expectations. The scope may include projects ...

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 ... On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement ...

Amphenol TCS

Manager, Project Management

Yocumtown, PA · On-site

... data center, mobile, RF, networking, industrial, business equipment, and automotive. Position ... Establish project management best practices, tools, and processes to ensure consistency and ...

Bentley Systems

Manager, Project Management

Exton, PA · Hybrid

The PMO Manager at Bentley Systems will lead a team of Project Managers within the region, ensuring ... of their data to transform project delivery and asset performance. www.bentley.com Equal ...

Bentley Systems

Manager, Project Management

Exton, PA · Hybrid

The PMO Manager at Bentley Systems will lead a team of Project Managers within the region, ensuring ... of their data to transform project delivery and asset performance. www.bentley.com Equal ...

Bentley Systems

Manager, Project Management

Exton, PA · On-site

The PMO Manager at Bentley Systems will lead a team of Project Managers within the region, ensuring ... of their data to transform project delivery and asset performance. www.bentley.com Equal ...

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All JobsData Project Management JobsData Project Management Jobs in Pennsylvania

Data Project Management information

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How much do data project management jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data project management 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 engineers and analysts during a project lifecycle?

As a Data Project Manager, you will frequently act as a bridge between data engineers, analysts, and other stakeholders. Your role involves coordinating tasks, clarifying project requirements, and ensuring smooth communication among team members. You'll facilitate regular meetings to track progress, resolve any data-related challenges, and adjust timelines as needed. By fostering collaboration, you help ensure that technical teams deliver actionable insights on schedule and that business goals are met efficiently.

What does a data project management do?

A data project manager oversees the planning, execution, and completion of data-related projects, ensuring they meet deadlines, budgets, and quality standards. They coordinate teams, manage resources, and utilize tools like project management software to deliver actionable insights and support data-driven decision-making.

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

AspectData Project ManagementData Analyst
Primary FocusOverseeing data projects, coordinating teams, ensuring project deliveryAnalyzing data sets to extract insights and generate reports
Required SkillsProject management, communication, data understandingStatistical analysis, data visualization, SQL
CertificationsPMP, Certified ScrumMaster, Data Management certificationsMicrosoft Excel, SQL, Tableau certifications
Work EnvironmentProject teams, cross-functional collaboration, client interactionData analysis tools, reporting platforms, data warehouses

Data Project Management and Data Analysts both work with data, but their roles differ. Data Project Managers focus on leading data initiatives, coordinating teams, and ensuring project success. Data Analysts concentrate on analyzing data to provide insights. Understanding these differences helps in choosing the right career path or hiring the right professional.

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 a solid background in project management, data analysis, and familiarity with methodologies like Agile or Scrum, often supported by a degree in a related field and certifications such as PMP or Certified ScrumMaster. Proficiency with project management tools (e.g., Jira, Trello), data visualization platforms (e.g., Tableau, Power BI), and database systems is typically required. Strong communication, leadership, and problem-solving skills help foster collaboration among technical and non-technical stakeholders. These skills ensure data projects are delivered on time, within scope, and aligned with organizational objectives.

What is data project management?

Data Project Management involves overseeing projects that focus on collecting, analyzing, and utilizing data to achieve specific business goals. This role requires managing timelines, resources, and teams to ensure data initiatives are delivered successfully. Data project managers coordinate between data engineers, analysts, stakeholders, and other departments to define project requirements and deliverables. They also ensure that data quality, privacy, and security standards are met throughout the project lifecycle.
What are popular job titles related to Data Project Management jobs in Pennsylvania? For Data Project Management jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Project Management jobs in Pennsylvania look for? The top searched job categories for Data Project Management jobs in Pennsylvania are:
Data Project Management jobs near you
Infographic showing various Data Project Management job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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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