Tech Stack
AWSAzureCloudGoogle Cloud Platform
About the role
- Model the current state (as-is) and future state (to-be) processes and data flows, using the Bank’s chosen Process modelling tools and within the Bank’s overall Process framework, to defined standards.
- Liaise with relevant internal stakeholders/SMEs to obtain the required information/data to create the Process maps, address any QA issues and coordinate business sign-off.
- Build and use subject matter expertise on modelling methodology/standards and modelling tools and support a functions/business unit.
- Support the Process Governance Lead and Divisional Head for EPM and enable the yearly process recertification.
- Design and model processes diagrams that are compliant with the DB Process Modelling Methodology and minimum standards.
- Align internal Deutsche Bank processes against industry recognized framework to strengthen the process framework and its implementation within the Bank.
- Perform or facilitate GAP analysis and data harvesting workshops to ensure consistency and completeness of our process catalogue and data.
- Operate within a matrix organization and report to both the Process Governance Lead and the Divisional Head of Enterprise Process Management in GTI.
- Contribute towards cloud-enabled solutions, operational resilience and risk reduction activities.
Requirements
- Minimum 4 years of experience as Process Modeler or similar function.
- Good understanding of Industry best practices such as COBIT, ITIL and ISO 27001.
- Cloud Computing Technology (GCP, AWS, Azure etc.) certifications or similar domains is helpful.
- Strong team player comfortable in a cross-cultural and diverse operating environment.
- Result oriented and ability to deliver under tight timelines.
- Ability to successfully resolve conflicts in a globally matrix driven organization.
- Excellent communication and collaboration skills.
- Desire to learn about new and emerging technologies and continuous upskilling.
- Comfortable with navigating ambiguity to extract meaningful risk insights.