The Opportunity
At Vantage Towers, we’re on a mission to power Europe’s sustainable digital transformation. As a leading tower company, we’re ushering in an era of technology-driven advances to help connect people, businesses, and internet-enabled devices like never before. We combine the scale, stability and quality of our tower network with the agility, optimism and energy of a start-up.
As a young TowerCo, we have already achieved strong results with a continued focus on accelerating growth and a special emphasis put on sustainability.
As part of our team, you’ll work in a dynamic and multicultural environment that embraces open communication, collaboration and teamwork.
If you’re ready to take responsibility and shape the future of telco infrastructure with us, then let’s level up in your career and reach the top – together.
Your contribution:
- Identify and assess high-value AI and automation use cases across the organization;
- Maintain and prioritize a central AI and automation backlog with clear impact and feasibility criteria
Conduct regular backlog reviews with business and IT stakeholders; - Support the implementation of selected RPA solutions, ensuring technical feasibility and alignment with enterprise standards;
- Define and maintain governance and architectural standards for automation and AI initiatives;
- Develop AI governance frameworks to ensure standardization, traceability, and responsible development;
- Align AI and automation efforts with IT architecture and cybersecurity teams to ensure compliance;
- Define and implement AI risk management processes, including model bias assessments and GDPR compliance;
- Monitor and ensure adherence to AI and automation lifecycle governance and operational guardrails;
- Prevent fragmented or redundant automation efforts by establishing standardized tooling and processes;
- Provide guidance and oversight to business and IT teams on automation and AI enablement practices;
- Collaborate closely with the AI & Data Science Engineer team to ensure seamless integration of AI models into automation workflows and alignment across AI and automation initiatives.
- Strong understanding of AI governance, compliance, and risk management principles;
- In-depth knowledge of process automation, RPA, and AI-driven automation concepts;
- Practical understanding of generative AI solutions and their application in automation, governance, and responsible use within business environments;
- Experience with use case discovery, backlog management, and prioritization frameworks;
- Experience managing cross-functional initiatives involving business, IT, and data stakeholders;
- Ability to translate complex processes into structured automation or AI use cases;
- Structured, analytical, and outcome-focused mindset with strong stakeholder engagement skills;
- Effective communicator with experience in facilitating workshops and steering discussions;
- Ability to document standards, guidelines, and best practices for AI and automation adoption
You Must Have:
- A successfully completed Bachelor’s or Master’s degree in Information Systems, Business Engineering, or related field;
- At least three years of hands-on experience in implementing automation and AI initiatives, including responsibility for governance, tooling, and cross-functional collaboration;
- Understanding of ML model types and their application in automation contexts;
- Basic Python skills and familiarity with ML libraries like scikit-learn are beneficial;
- General understanding of GenAI concepts (e.g. LLMs, prompt engineering, RAG) and their potential use in process automation or intelligent agents;
- Experience with RPA tools (e.g. UiPath, Power Automate, Automation Anywhere), automation orchestration, and Power Platform as part of enterprise automation tooling;
- Knowledge of AI/ML lifecycle principles, including risk, compliance, and monitoring processes;
- Understanding of IT architecture, data protection, and cybersecurity alignment requirements;
- Understanding of regulatory frameworks relevant to AI and automation (e.g. GDPR, ISO standards);
- Extensive professional experience in distributed, multinational and complex organizations;
- Fluent English (C1) skills written and spoken
- A diverse, multicultural setup based on our values – respect, teamwork, responsibility and honesty – and the unique opportunity to shape the organisation
- An attractive salary package
- Meal Allowance Delivered on a Pluxee card
- Pension Plan
- Full Health Insurance: For employees, with co-payment for family members.
- Life Insurance
- Mobile Equipment Allocation: Includes a Red Infinity voucher for employees (minutes, SMS, MMS for national networks, unlimited mobile data for national traffic, and 120 minutes/SMS internationally).
- Mobile Broadband Card: For internet access (15 GB per month).
- Additional Discounts: On Vodafone services.
- 22+3 Holiday Days: 22 days as per labor legislation, plus 1 day for Carnival, 1 for Christmas, and half a day each for Easter and New Year.
- Growth Platform: Full access to the Growth with Vodafone platform, including unlimited content from the Massachusetts Institute of Technology (MIT), Harvard University, Skillsoft, and Speexx.
- Optional Membership: Vodafone Club (2 EUR per month), which offers discounts at gyms, ATL's, cultural activities, etc.
