Állás részletei
-
Cég neve
MOL Nyrt.
-
Munkavégzés helye
1117 Budapest, Dombóvári út 28. -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
-
Elvárások
- Angol felsőfok
- 5-10 év tapasztalat
- Egyetem
Állás leírása
Company info
What if your decisions determined where AI creates real business value and where it shouldn’t be used at all? In this role, you own the full Data & AI portfolio, shaping initiatives from idea to production and making sure they deliver measurable impact across the organization.
At MOL, you work in a stable, large-scale enterprise environment where your work has regional impact across multiple business units, not just isolated use cases. You’ll collaborate with senior leaders, influence strategy, and build scalable, production-ready solutions, while continuously growing at the intersection of business, data, and technology within a strong, collaborative expert community that turns ideas into real outcomes.
Tasks
Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders.
Own and drive the Data & Artificial Intelligence (AI) portfolio end-to-end, ensuring initiatives deliver measurable business value across multiple programs.
Shape a value-driven roadmap by aligning Data & AI priorities with real business needs and translating them into actionable initiatives.
Lead AI initiatives from idea to production, structuring business problems, defining use cases, and ensuring successful rollout into core processes.
Define and track key performance indicators (KPIs) and value frameworks to measure impact, challenge outcomes, and support data-driven decision-making.
Requirements
Educational Background: You have a University or College degree preferably in business, engineering, computer science, data science or other related field.
Professional Experience: Confident and proven practical knowledge of managing complex programs or portfolios in data, analytics, or Artificial Intelligence (AI) environments, with a strong understanding of data platforms, analytics workflows, and the AI/Machine Learning (ML) lifecycle from ideation to production.
Skills & Mindset:
Confident verbal and written communication skills in English,
Experience with ERP systems or ERP‑integrated business processes,
Advantages
Experience with cloud-based data and Artificial Intelligence (AI) platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Knowledge of Data Governance, Machine Learning Operations (MLOps), and Responsible AI principles.
Background in asset-intensive or regulated industries, such as energy, manufacturing, or finance.
Program or portfolio management certifications, such as Project Management Professional (PMP), Program Management Professional (PgMP), or SAFe.
Familiarity with Agile, Hybrid, or Waterfall delivery models,
Engage and influence senior stakeholders on high-impact, ambiguous business challenges.
Communicate clearly and structure complex topics effectively, ensuring alignment across teams,
Demonstrate strong ownership and value-driven thinking, focusing on measurable business outcomes.
What we offer
Annual gross cafeteria allowance of 800,000 HUF.
Private Medicare health insurance.
Life and accident insurance.
Annual performance‑based bonus.
Wellbeing & Culture:
- Extra holidays for families & single parents or women undergoing assisted reproduction procedures (in‑vitro or insemination).
- Baby starter package when the family grows.
- Wellbeing programs supporting mental health, healthy nutrition, sports, and work–life balance.
- Employee exclusive partner discounts.
- Access to private kindergarten for employees’ children.
- Back‑to‑school support for colleagues with young school‑age children.
- Pre-retirement program & loyalty bonus.
- Growth & Development:
- Access to top-tier training programs, including strategic, technical, and leadership skills.
- Clear horizontal and vertical career advancement opportunities across MOL Group.
- During sick leave, we provide 80% of the absence pay instead of the legally required 70%.
- Unlimited mobile phone subscription for personal use.
Workplace extras
- Canteen
- Cafe
- Medical assistance
- Shower
- Corporate events
- Company bus
- Bicycle storage
- Parking
- Sports facilities
- Kindergarten
- Dog friendly
- Free fruits, snacks
- Play corner
- Work clothes
Állás, munka területe(i)
Álláshirdetés jelentése