Position: Project Manager
Company: Luxoft
Experience required: 5y
English level: fluent

As more and more machines and equipment is connected to enable better use of data to steer operations, various machine learning, prescriptive and predictive analytics and statistical data analytics models are required to be implemented, together with ensuring connectivity to sensors and manufacturing equipment. As the project manager you will drive pre-studies, development projects and implementation projects in this area.

Responsibilities:
Translate business needs to requirements and project deliverables
Drive projects and deliver agreed results by manage the project in all traditional aspects (Time, cost, scope, issues, risks, stakeholders, communication, etc.).
Participate in and lead workshops and assure business scope and requirements are translated into clear deliverables.
To build, coordinate and provide direction by creating a motivated, engaged and empowered project team equipped to deliver desired value from the project.
Actively engage the receiving unit to ensure fulfilment of project outcome and business benefit realization
Clarify expectations and scope through stakeholder management and communication.
Handling risks and deviation and prepare decision foundation where consequences are clear for different alternatives
Support in business case preparation
Manage and coordinate project resources and resource deliveries
Maintain and update project charters, status updates and other project documentation
Place and handle orders to suppliers

Mandatory Skills Description:
Experience in AI/ML as well as data visualization expected
Experience in driving projects with data movement, streaming and transformation technologies, advantageous if with Microsoft and the open source big data ecosystem
Experience in connected technologies, sensors, process control systems, and similar manufacturing equipment is advantageous
Microsoft Azure machine learning platform knowledge is advantageous
Experience in information architecture in large enterprise through use of industry standard modelling, mapping, management, metadata, lineage and quality standards and technologies
GPM2/PRINCE2 or equivalent certified, SAFE or equivalent certified
Experience in working with different project methodologies
Business analyst experience and knowledge
Experience in driving change within digitalization and technology
Proven track record of successfully driving projects from development to implementation with an industrial organization
Excellent leadership skills with proven ability to inspire and build strong teams in an international setup.
Experience of working in a global context, working cross functional from supplier, manufacturing to sales
Excellent communication skills in English; both written and oral. Being experienced and having high skills in presentations. 
International project experience; multi language/cultural
To prepare resources to receive new technologies and/or IT solutions.
Manufacturing knowledge is advantageous