Data & Analytics Project Manager — Cross‑Functional Delivery

Hitachi Energy; Kraków; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Fitness programs

Benefits platform discounts

Employee Capital Plans (PPK)

Home office equipment allowance

Job summary

Hitachi Energy is seeking an experienced Project Manager to lead initiatives that optimize data management and analytics across multiple functions. You will work with IT, procurement, engineering and production to drive delivery, promote best practices, and improve data quality and operational excellence.

The role requires managing schedules, milestones and deliverables, coordinating stakeholders, and ensuring compliance with quality standards.

Qualifications

• Master's degree or equivalent experience.
• Experience in project management, preferably in production or parts management environments.
• Knowledge of project management tools such as MS DevOps, MS Project, or Jira.
• Experience with Product Lifecycle Management systems, including Windchill or Enovia.
• Analytical mindset with strong problem-solving and communication skills.
• Advanced English and experience working with cross-functional stakeholders.

Responsibilities

• Supervise project activities and coordinate work across departments.
• Plan and execute projects, including schedules, milestones, and deliverables.
• Collaborate with stakeholders from IT, procurement, engineering, and production.
• Monitor project progress and report status to the steering committee.
• Identify and remove obstacles impacting project execution.
• Implement standards and best practices for data maintenance and analytics.
• Organize and deliver training on new processes and tools.
• Ensure compliance with quality standards and legal requirements.

Job description

Hitachi Energy is seeking an experienced Project Manager to lead initiatives that optimize data management and analytics across multiple functions. You will work with IT, procurement, engineering and production to drive delivery, promote best practices, and improve data quality and operational excellence.

The role requires managing schedules, milestones and deliverables, coordinating stakeholders, and ensuring compliance with quality standards.