Job title: Digital Data Integrator ( m/w/d) SEU
Company: Sappi
Job description: The position will develop and operationalize advanced analytics solutions for Sappi globally. This position requires strong system analysis and design skills with sound development skills in order to plan, develop, deploy and maintain Digital Twin data for Advanced Analytics initiatives. The role will have responsibility to manage and monitor the data integrity and availability of Digital Twin data (Cloud and Edge), ensuring data quality and accessibility in line with strong governance and adherence to best practices. The role will also work closely with the Data Science team to deploy models, and develop the required algorithms and/or solutions within the Advanced Analytics framework.Main Responsibilities:Digital Twins
- Work closely with cross functional process and industry experts to understand the relationships between data and develop the data collection, data contextualisation and data integrity checks necessary to provide a Digital Twin ]]
- Manage all aspects of data acquisition and data enrichment within the Advanced Analytics platform ensuring governance and standards for:
- Data source connectivity
- Data streaming and transformation
- Data quality
- Data storage and accessibility
- Continuously monitor the Digital Twin data integrity, ensuring that the digital twin data remains valid and up to date.
- Continuously enhance and expand the Digital Twin as new measurements are introduced or changed.
- Where possible, develop templates that can be re-used to expedite the building of future Digital Twins
- Work closely with the data science team and business units to analyse data integrity and further continuous improvement
- Engage the vendor for any technical support issues and implement resolution and knowledge transfer accordingly
Solution Deployment
- Develop and deploy resultant data science solutions within the Advanced Analytics framework, ensuring that models are deployed in the correct context to solve the business requirement (Cloud / On Premise / Edge).
- Develop visualisations
Operational management
- Assess best practices and propose procedures and safeguards to constantly ensure Digital Twin data integrity and data availability.
- Develop re-usable templates as much as possible to expedite the development of future Digital Twins.
- Make recommendations for new approaches within the Advanced Analytics environment that have operational benefit.
- Work with the global team to develop time estimates and implementation plans.
- Effectively communicate operational issues, decisions reached, and/or the status of the project with various counterparts on the project team and within the business.
- Ability to guide/advise other functional and development team members in implementing solutions based on business requirements
- Responsible to ensure all data science projects are retained within the Advanced Analytics landscape.
- Establish and maintain governance to ensure full compliance of audit, controls and security requirements.
Interfaces
- This role will interface with internal and external business partners, system integration leads, functional leads and development leads, customers and vendors in order to fulfil the stated primary goal. Focus is to understand pain points and identify opportunities to improve operational efficiency.
- Build constructive relationships with internal and external business partners and with suppliers/contractors.
- Collaborate with business partners in identifying opportunities to streamline their operations.
Support
- Provide support to ensure availability of Digital Twin data and the operationalization of resultant data science solutions
- Facilitate change management for a data driven culture.
Continuous Improvement projects, optimisation & innovation
- Support the culture of continuous improvement through team member engagement, training, coaching, and innovation.
- Identify, review, and promote creative ideas and approaches to improve department and team member performance.
- Ensure optimal utilization of technology solutions, and benefit realization for solutions deployed.
Qualifications:
- University degree in Information Technology.
- 5 years’ experience with Advanced Analytic technologies
- Multi-cultural experience.
- Ability to multitask and manage workload with minimal supervision.
- Ability to build relationships with people at all levels,
- Ability to think analytically and be a problem solver.
- Strong analytical skills with heightened problem-solving ability.
- Strong manufacturing knowledge and insight.
- Very detail oriented with strong follow-up skills.
- Excellent Communication Skills, both verbal and written.
- Must be willing to travel.
In the case of a replacement at the Gratkorn Mill in Austria, we offer you an annual gross remuneration according to Austrian CLA. Depending on your qualification and work experience we offer a market-compliant payment.The position will develop and operationalize advanced analytics solutions for Sappi globally. This position requires strong system analysis and design skills with sound development skills in order to plan, develop, deploy and maintain Digital Twin data for Advanced Analytics initiatives. The role will have responsibility to manage and monitor the data integrity and availability of Digital Twin data (Cloud and Edge), ensuring data quality and accessibility in line with strong governance and adherence to best practices. The role will also work closely with the Data Science team to deploy models, and develop the required algorithms and/or solutions within the Advanced Analytics framework.Main Responsibilities:Digital Twins
- Work closely with cross functional process and industry experts to understand the relationships between data and develop the data collection, data contextualisation and data integrity checks necessary to provide a Digital Twin ]]
- Manage all aspects of data acquisition and data enrichment within the Advanced Analytics platform ensuring governance and standards for:
- Data source connectivity
- Data streaming and transformation
- Data quality
- Data storage and accessibility
- Continuously monitor the Digital Twin data integrity, ensuring that the digital twin data remains valid and up to date.
- Continuously enhance and expand the Digital Twin as new measurements are introduced or changed.
- Where possible, develop templates that can be re-used to expedite the building of future Digital Twins
- Work closely with the data science team and business units to analyse data integrity and further continuous improvement
- Engage the vendor for any technical support issues and implement resolution and knowledge transfer accordingly
Solution Deployment
- Develop and deploy resultant data science solutions within the Advanced Analytics framework, ensuring that models are deployed in the correct context to solve the business requirement (Cloud / On Premise / Edge).
- Develop visualisations
Operational management
- Assess best practices and propose procedures and safeguards to constantly ensure Digital Twin data integrity and data availability.
- Develop re-usable templates as much as possible to expedite the development of future Digital Twins.
- Make recommendations for new approaches within the Advanced Analytics environment that have operational benefit.
- Work with the global team to develop time estimates and implementation plans.
- Effectively communicate operational issues, decisions reached, and/or the status of the project with various counterparts on the project team and within the business.
- Ability to guide/advise other functional and development team members in implementing solutions based on business requirements
- Responsible to ensure all data science projects are retained within the Advanced Analytics landscape.
- Establish and maintain governance to ensure full compliance of audit, controls and security requirements.
Interfaces
- This role will interface with internal and external business partners, system integration leads, functional leads and development leads, customers and vendors in order to fulfil the stated primary goal. Focus is to understand pain points and identify opportunities to improve operational efficiency.
- Build constructive relationships with internal and external business partners and with suppliers/contractors.
- Collaborate with business partners in identifying opportunities to streamline their operations.
Support
- Provide support to ensure availability of Digital Twin data and the operationalization of resultant data science solutions
- Facilitate change management for a data driven culture.
Continuous Improvement projects, optimisation & innovation
- Support the culture of continuous improvement through team member engagement, training, coaching, and innovation.
- Identify, review, and promote creative ideas and approaches to improve department and team member performance.
- Ensure optimal utilization of technology solutions, and benefit realization for solutions deployed.
Qualifications:
- University degree in Information Technology.
- 5 years’ experience with Advanced Analytic technologies
- Multi-cultural experience.
- Ability to multitask and manage workload with minimal supervision.
- Ability to build relationships with people at all levels,
- Ability to think analytically and be a problem solver.
- Strong analytical skills with heightened problem-solving ability.
- Strong manufacturing knowledge and insight.
- Very detail oriented with strong follow-up skills.
- Excellent Communication Skills, both verbal and written.
- Must be willing to travel.
In the case of a replacement at the Gratkorn Mill in Austria, we offer you an annual gross remuneration according to Austrian CLA. Depending on your qualification and work experience we offer a market-compliant payment.ABOUT SAPPISappi is a leading global provider of everyday materials made from woodfibre-based renewable resources. As a diversified, innovative and trusted leader focused on sustainable processes and products, we are building a more circular economy by making what we should, not just what we can.
Expected salary:
Location: Gratkorn, Steiermark
Job date: Fri, 28 Mar 2025 01:55:23 GMT
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