Manager, Data Analytics (Data, Analytics and AI consultant)

This position centers on leveraging engineering expertise to define, configure, and implement industrial digital technologies within a manufacturing environment. The role primarily involves working with Product Lifecycle Management (PLM) and Manufacturing Execution Systems (MES) to ensure seamless information continuity across the engineering enterprise. This includes supporting design, industrialization, manufacturing supply chain processes, and managing manufacturing data to enable efficient integration and data flow throughout the organization.

Key Responsibilities
- Develop and deploy digital solutions that enhance manufacturing and engineering workflows, maintaining consistent information exchange across departments.
- Configure and implement PLM and MES systems to improve data management and operational performance.
- Serve as a key contributor in a complex and critical environment, demonstrating full competence and technical expertise.
- Anticipate and understand client requirements, delivering tailored solutions aligned with business goals.
- Oversee cost management and profitability within assigned projects, ensuring adherence to budget constraints.
- Organize and prioritize personal workload effectively to meet established targets and deadlines.
- Create detailed project plans for initiatives, ensuring alignment with broader organizational objectives.
- Evaluate challenges with a strategic perspective, considering wider business implications and potential impacts.
- Act as a facilitator and coach, guiding teams to foster collaboration and drive project success.

Required Qualifications
- Proven experience in engineering roles focused on deploying digital technologies, specifically with PLM and MES systems.
- Strong knowledge of manufacturing processes, supply chain management, and maintaining data continuity across engineering functions.
- Demonstrated ability to manage projects, control costs, and ensure profitability in technical settings.
- Excellent problem-solving skills with a proactive approach to understanding and meeting client needs.
- Effective communication and leadership abilities, capable of coaching teams and facilitating progress.
- Self-motivated with the ability to independently manage workload and meet deadlines.

Preferred Qualifications and Benefits
Candidates with experience in complex industrial digital environments and a proactive client engagement style will be highly regarded. This role offers the opportunity to work in a dynamic and critical setting, contributing to the advancement of digital continuity within manufacturing enterprises. It is well-suited for professionals seeking to apply their engineering expertise in digital technologies to drive innovation and operational excellence.