IT Director for Data Management and Analytics

3 tygodni temu

Kraków, Polska Hitachi Energy Services Pełny etat

About the Role: We are seeking an experienced IT Director to lead our efforts in data management and analytics at Hitachi Energy Services.

Job Summary: The successful candidate will be responsible for developing and implementing enterprise-wide IT policies, standards, and guidelines that steer the selection, development, implementation, and use of IT application solutions and technologies within our business.

Responsibilities:

  • Develops Enterprise-Wide IT Policies: Develops directly or indirectly the enterprise architect IT policies, standards, and guidelines that steer the selection, development, implementation, and use of IT application solutions and IT technologies within Hitachi Energy business.
  • Supervises IT Evaluations: Supervises and facilitates the evaluation and selection of appropriate IT applications, IT technologies, and IT solutions.
  • Leads IT Solution Architecture: Supervises or consults on IT solution architecture implementation and modification activities, particularly for new and/or core/common IT application solutions.
  • Improves IT Landscape: Challenges the IT architecture and IT service landscape regarding content and process and makes recommendations for improvements.
  • Roadmap Development: Directly or indirectly involved in the development of policies, standards, and guidelines that steer the selection, development, implementation, and use of application solutions and technologies within the company. Develop and maintain roadmap of initiatives within the domain of responsibility

Requirements:

  • 10+ Years of IT Experience: 10+ years of IT experience within the relevant IT domain
  • Superior Analytical Skills: Superior analytical skills and a deep understanding of the overall context of business processes and IT technologies
  • Leadership Experience: Superior experience in leading IT people who do not report directly
  • Issue Resolution: Superior experience of identifying and resolving issues between team members or other teams
  • Business Requirements: Superior experience to translate business requirements into IT capabilities and solutions
  • Evaluation and Recommendation: Excellent experience in objectively evaluating IT solutions and making recommendations
  • Project Planning: Excellent experience in project planning and execution as well as economic aspects of system management and life cycle
  • Education: Degree in information management, computer systems, business engineering or similar
  • Cultural Competence: Above 5 experiences in working in a non-native country and culture
  • Language Proficiency: Fluent spoken and written English

Domain-Specific Skills and Knowledge:

  • Analytics and IoT: 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: Data Management, Governance, Transformation, Publication
  • Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive Analytics: 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)
  • Market Leaders' Portfolio: 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 Advanced Analytics Topics: 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: Size and complexity of the IT application landscape.
  • Large Number of Stakeholders: Large number of stakeholders across a broad range of businesses, geographies, PG business and IT departments.
  • Transition to Central Managed IT: Complex transition from the current distributed IT architecture landscape to a central managed IT architecture landscape.

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