IT Project Manager

Entrada AI; Katowice; On-site; PLN 231,000 - 316,000; Full time

Job summary

A technology partner is seeking an experienced IT Project Manager to oversee data and analytics projects in Katowice, Poland. The role includes leading technology implementations, managing project teams, and building client relationships. Candidates should have 3-5 years of IT project management experience, fluency in English, and proficiency in Agile methodologies. This position offers opportunity to contribute to innovative data solutions and to work within a dynamic, collaborative environment.

Qualifications

• 3-5 years of experience in IT project management in IT professional services or consulting.
• Managed at least 3 full project lifecycles.
• Experience leading projects in collaboration with technical teams.
• Fluent in English (C1 level or higher).

Responsibilities

• Lead end-to-end technology projects.
• Manage project team of data engineers, analysts, and developers.
• Oversee implementation of data platforms and analytical systems.
• Build and maintain client relationships.
• Translate business needs into technology tasks.
• Manage project scope and risks.

Skills

Agile methodologies (Scrum)

Communication skills

Project management tools

Data Engineering

Business Intelligence

Technical Acumen

Tools

Jira

Confluence

Databricks

Job description

At Entrada AI, we are a technology partner that helps companies transform data into strategic assets. We specialize in building custom solutions, from advanced web applications to scalable data platforms and analytical systems.

Due to our growing portfolio of Data & Analytics projects, we are looking for an experienced IT Project Manager to manage complex technology implementations. You will be the key person responsible for leading projects from the requirements analysis phase, through development, to production deployment, ensuring that we deliver real, data-driven business value to our clients.

Your Responsibilities:

• Lead end-to-end technology projects: From analytical workshops with the client, through architecture and schedule planning, to overseeing implementation and deployment.
• Manage the Project Team: Work closely with our data engineers, data analysts, and backend developers to ensure an efficient workflow and high technical quality of solutions.
• Oversee the delivery of Data & Analytics projects: Coordinate tasks related to the implementation of data platforms (including those based on Databricks), building ETL/ELT pipelines, and creating analytical systems.
• Build and Maintain Client Relationships: Act as the primary point of contact and technical advisor, building a partnership based on trust and transparent communication.
• Translate Business Needs into Technology: Effectively translate.g., regarding reporting, data analysis) into specific tasks for the engineering team.
• Manage Scope and Risk: Proactively identify technical and project risks, manage changes, and ensure project goals are met within and timeline.
• Process Building: "Develop and document repeatable delivery processes, templates, and playbooks to support company scaling"

Requirements:

• A minimum of 3-5 years of experience in IT project management within IT professional services or consulting environment particularly in Data Engineering, Business Intelligence, or data-intensive software development.
• Must have managed at least 3 full project lifecycles from presales scoping through production deployment.
• Proven experience leading projects in close collaboration with technical teams.
• Excellent knowledge and practical application of Agile methodologies (Scrum).
• Proficiency with project management tools, especially Jira and Confluence or equivalent.
• Exceptional communication skills, with the ability to effectively collaborate with both technical teams and business stakeholders.
• Fluent English (C1 level or higher), essential for working with international clients.
• Overlap with US based customers

Your Key Skills:

• Technical Acumen: The ability to lead meaningful discussions on topics related to system architecture, data processing, and integrations.
• Solution-Oriented Mindset: A proactive approach to solving technical and organizational challenges.
• Strong Sense of Ownership: Treating each project as your own and striving to deliver a reliable, scalable product.
• Commercial Awareness: Understands project economics (margin, utilization, scope creep impact)
• Proactive Communication: Escalates blockers with recommended solutions, not just status updates
• Highly Organized and Detail-Oriented: Meticulous in planning, documenting, and reporting project progress.

Nice to Have:

• Hands-on experience with projects utilizing the Databricks platform or other technologies from the Big Data ecosystem (e.g., Snowflake, Spark, Airflow).
• An understanding of concepts related to data engineering, data warehousing, ETL/ELT, and Business Intelligence.
• Experience with public cloud platforms (AWS, Azure, GCP).
• Industry certifications (e.g., PSM, PMP, PRINCE2) or technical certifications (e.g., in cloud or data).