Specialist - Information Management & Digital Solutions

Accountabilities:

• Perform tasks associated with the successful delivery of team objectives.
• Collaborate with business users to understand solution needs and deliver robust, cost-effective data and analytics solutions.
• Lead the utilization of existing tools to develop intuitive applications for Global Engineering.
• Provide expert support in troubleshooting issues and participate in developing new innovative digital product features.
• Offer business support in data analysis and access, ensuring adherence to current principles, policies, and standards.
• Create templates to standardize data collection and reporting.
• Support functional data strategies to minimize risk while improving data quality and value.
• Evaluate data and analytics solutions, contributing to business case creation and delivery plans.
• Contribute to the development of information management as a capability through training, tooling, and optimizing output.
• Maintain professional development in information management, data, and analytics technologies.

Essential Skills/Experience:

• bachelors Degree or equivalent experience in Information Management, Computer Science, or related field.
• Passion for data processes and their role in driving business performance.
• Good working knowledge of data governance technologies such as Taxonomy Management, Master Data Management, Data Classification, and Data Archiving.
• Advanced data handling skills (eg, SQL, Python, Power Platform, Snowflake, Excel).
• Experience in change management and providing innovative solutions on smaller projects.
• Strong networking and consulting skills with external links and business awareness.
• Excellent communication and facilitation skills with the ability to collaborate effectively.

Desirable Skills/Experience:

• Custom Solutions development experience is preferred.
• Interest or experience in developing AI tools (eg, CoPilot Studio).
• Experience with DevOps or DataOps concepts, preferably hands-on.
• Demonstrate initiative, strong customer orientation, and cross-cultural working.
• Experience in a data engineering role with practical examples using modern data platforms.
• Exposure to Data Pipelines (Ingest Store, Data Preparation, Discover Present, Insight Experience).
• Experience from Agile data development projects.
• Understanding of Lean principles and methodologies.