Standszám:
MOL Group established its standalone Consumer Services Business Unit as part of MOL Group’s 2030 – Enter Tomorrow strategy. The mission of Consumer Services is to transform the traditional fuel retailing business into a true consumer goods retailer and mobility services provider holding market leadership in the sector in Central Europe. Digital transformation is at the heart of the ambitious Consumer Services strategy, led by the Digital Factory, which deploys leading edge digital transformation capabilities into the business. A strong analytical capability led by the Group Data Analytics team within Digital Factory is a crucial element of the successful digital transformation.
The Data Lake Operations Lead in Digital Factory ensures a stable and efficient operations of Data Lake and highly accurate data via leading end-to-end the management and handling of Data Lake related ITSM processes and incidents and the implementation and continuous improvement of the processes and toolset required for seamless Data Lake operations. The Data Lake Operations Lead is managing all Data Lake operational processes and coordinates the application management teams, with a strong focus on daily operational stability.
Service Delivery Manager – Data Lake Operations
The Data Lake Operation Manager / Incidents Manager in in Digital Factory ensures a stable and efficient operations of Group Data Lake and Loyalty systems. The Operation manager will also focus on continuous improvement of the DF IT service operations.
MAIN RESPONSIBILITIES
• Own, Drive and Lead the establishment, standardization and own end-to-end the efficient implementation of the Data Lake operational procedures and way of working
• Own, Drive and Lead the development, operationalization and continuous improvement of the data quality assurance framework, analyses and reporting.
• Manage the establishment of the Data Lake specific incident management, release management, change management and access management standards, implement them into Data Lake daily operations and establish an efficient process management framework
• Lead and coordinate all internal and external stakeholders across all countries, group and local technical and business functions and corporate GBS and IT resources to ensure the compliance with Data Lake process management standards, including the revision and implementation of corporate level operational procedures and providing training and coaching
• Proactively identify key outages vs. the Data Lake process management standards and drive process improvements accordingly
• Oversee the daily load of Data Lake via leading the assessment of the completeness of load process and the availability of the data for business use
• Define and Drive the establishment of Data Lake Service Level Agreements and targets covering internal and external customers and data providers
• Implement and lead the regular reporting of service level compliance covering all SLA parties and service level drivers/elements
• Ensure Data Lake compliance with the Service Level Agreements and contribute to the development, measurement and reporting of the Data Lake SLAs
• Lead the regular (daily, weekly, monthly) reporting of the incident and problem tickets and resolution timelines, and ensure transparent and timely communication of the daily load, data availability, data accessibility and data quality status and related issues and resolutions
• Lead the assessment and 1st level business analysis of the incident root causes and coordinate the fixes of the identified issues
• Ensure the seamless handling of the Data Lake Demand, incident, change and problem ticketing according to the SLA and the transparent administration in Jira
WHY JOIN US
•
o
Achieving international impact being in a global HQ, close to decision-making and top management
Competitive package (15% yearly bonus, gross 800K/y cafeteria, Medicover, iPhone)
Involvement in setting new strategies and new directions for the future of mobility in CEE
Various and exciting projects and consultancy topics
Versatile career opportunities in a dynamically growing international team
Personalized learning journey and training budget for individual and team learning goals
An Inspirational team and premium work environment in the neomodern MOL Campus skyscraper
REQUIREMENTS
• Min. Bachelor’s degree, preferred specialization in IT / Computer Science / Engineering / Business
• 5+ years of experience in IT Service Management or related field preferably in multinational environment
• ITIL framework knowledge preferably V4
• Experience with ITSM and DevOps methodologies and IT process management
• Ability to work in a fast-paced environment, managing multiple tasks in parallel, excellent analytical and problem-solving skills
• Understanding of one or more languages used prevalent in data analytics (e.g., SQL, R, Python) & understanding of database systems & data visualization tools (e.g., MS SQL, Hadoop, MS Power BI, Tableau)
• Proactive mindset, positive attitude and a strong sense of ownership and team mentality, strong attention to detail, excellent operational discipline
• Openness to different cultures across CEE
• Experience in working in agile / scrum environment is a plus
• Fluency in English, knowledge one of the Central Eastern European languages is preferred
ABOUT DIGITAL FACTORY AND MOL GROUP CONSUMER SERVICES
MOL Group established its standalone Consumer Services Business Unit as part of MOL Group’s 2030 – Enter Tomorrow strategy. The mission of Consumer Services is to transform the traditional fuel retailing business into a true consumer goods retailer and mobility services provider holding market leadership in the sector in Central Europe. Digital transformation is at the heart of the ambitious Consumer Services strategy, driven by the Digital Factory, which deploys leading edge digital transformation capabilities into the business. A crucial element of the successful digital transformation is the strong analytical capability led by the Group Data Analytics team within Digital Factory. Data Analytics continuously develops and operates an extensive data warehouse, covering 6 countries to date. Data Analytics provides the backbone of data-based decision making in Consumer Services via an extensive BI reporting ecosystem and through delivering custom analytics, advanced analytics and AI based models and tools. On top of data analytics, Digital Factory leads the digital transformation also in the areas of customer loyalty program, omnichannel experience and digital payment, providing versatile career opportunities for top talents.
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