Global Enterprise Architect for Information/Data & Analytics/BI

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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