#JID3-103804
maintain roadmap of initiatives within the domain of responsibility
Requirements:
10+ years of IT experience within the relevant IT domain
Superior analytical skills and a deep understanding of the overall context of business processes and IT technologies
Superior experience in leading IT people who do not report directly
Superior experience of identifying and resolving issues between team members or other teams
Superior experience to translate business requirements into IT capabilities and solutions
Excellent experience in objectively evaluating IT solutions and making recommendations
Excellent experience in project planning and execution as well as economic aspects of system management and life cycle
Degree in information management, computer systems, business engineering or similar
Above 5 experiences in working in a non-native country and culture
Fluent spoken and written English
Domain-specific Skills and Knowledge:
Working experience with Analytics & IoT Data Management (Enterprise Data Warehousing, Business Warehouses, Big-Data / Data Lakes, Data Marts / Hubs, SQL / no-SQL Data Stores, Analytical Data Stores, IoT Edge / Hubs)
Data Management, Governance, Transformation, Publication
Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive Analytics (Executive Reporting, Performance Reporting, Self-Service Analytics, Dashboards and scorecards, customer analytics, operation/real-time analytics, Forecasting, planning, budgeting, predictive maintenance, inventory management, simulation and optimization models, speech analysis, sentiment analysis, image analysis)
Working experience on the market leaders' portfolio (i.e. Microsoft / Azure, MuleSoft, Snowflake, OpenText, SAP Apache, Hadoop, Kafka, Spark, Orchestra), where Microsoft landscape-based environment knowledge is favorite (Synapse, PowerBI, Pure View).
Concept design and basic working understanding of the advanced analytics topics, also encompassing AI and RPA:
Predictive and Prescriptive AI (Azure Machine Learning Services and Data Bricks)
Cognitive Analytics (e.g. Azure Cognitive Services)
Familiar with the concepts related to an SAP-centric landscape (SAP MDG-SAP S4)
Challenges:
Size and complexity of the IT application landscape.
Large number of stakeholders across a broad range of businesses, geographies, PG business and IT departments.
Complex transition from the current distributed IT architecture landscape to a central managed IT architecture landscape.
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