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At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact. Lead the end-to-end delivery of Responsible AI projects and workstreams, translating policy, risk and regulatory requirements into implemented processes, controls and tooling. Accountable for project planning, governance, stakeholder coordination and change adoption to ensure delivery is on time, within scope, and with measurable benefits. Works across Commercial, Technology, Cyber Security, Corporate Security, HR, Legal, Privacy and Supply Chain to manage dependencies, remove blockers and embed Responsible AI ways of working across Vodafone.
Job Responsibility
Lead the end-to-end delivery of Responsible AI projects and workstreams, translating policy, risk and regulatory requirements into implemented processes, controls and tooling
Project delivery ownership (end-to-end): Own delivery of assigned Responsible AI projects/workstreams from initiation to closure, defining scope, deliverables, milestones, acceptance criteria and benefits
ensure outcomes are implemented and handed over into BAU with clear ownership
Integrated plan, RAID and reporting: Build and maintain the integrated project plan, RAID log, dependency map and decision log
provide clear, regular status reporting, dashboards and management information for programme leadership and governance forums
Governance and controls implementation: Coordinate delivery of Responsible AI governance deliverables (processes, templates, controls, tooling changes), ensuring requirements are agreed, documented, tested and implemented in line with policy and regulatory expectations
Stakeholder management and delivery cadence: Run delivery cadences (workstream stand-ups, planning sessions, sprint ceremonies where applicable), manage stakeholder expectations, and drive timely decisions to keep delivery moving
Change, communications and adoption: Develop and execute change and communications plans to enable adoption of Responsible AI ways of working, including stakeholder briefings, training inputs, playbooks and launch readiness activities
Risk, issue and dependency management: Identify and manage delivery risks and issues, escalate appropriately, and coordinate mitigations with control owners
ensure alignment with enterprise risk and compliance reporting where needed
Benefits realisation and BAU transition: Define benefits measures and success criteria, track delivery outcomes, and support transition into BAU with clear operating model, ownership, documentation and continuous improvement backlog
Cross-functional delivery coordination: Work closely with Privacy Managers, Product, Technology, Data, Cyber Security and Supply Chain teams to coordinate deliverables, align timelines, and embed Responsible AI requirements into existing delivery lifecycles and supplier processes
Programme support and continuous improvement: Support the Responsible AI lead with programme planning, governance materials, audits/assurance requests and prioritisation
capture lessons learned and maintain a delivery backlog to improve repeatability and scalability
Requirements
Bachelor/Master's Degree
Recognised project management qualification or equivalent experience (e.g., PRINCE2, APM, PMI/PMP) and practical experience using Agile and/or hybrid delivery approaches
Sufficient technical literacy to work effectively with AI/engineering teams (e.g., understanding GenAI/LLM basics, RAG and model lifecycle concepts) and to translate governance requirements into implementable delivery tasks and acceptance criteria
Proven project management experience (typically 3+ years) delivering cross-functional change, process or technology initiatives, from initiation through to BAU transition
Working knowledge of Responsible AI concepts and risk types (e.g., bias/fairness, explainability, robustness, data governance, model and supplier risks, prompt injection, content safety), and how these translate into controls and delivery requirements
Good understanding of relevant regulatory and policy drivers (e.g., EU AI Act and adjacent regulations such as GDPR, EU Data Act, Cyber Resilience Act) and the ability to coordinate delivery evidence for audit/assurance
Strong stakeholder management and facilitation skills, able to drive alignment across Legal, Privacy, Cyber, HR, Product and Technology teams and influence without authority
Comfortable operating in ambiguity, breaking down complex governance requirements into deliverable work packages, and managing priorities across multiple workstreams
Strong delivery discipline (planning, governance, documentation) with a continuous improvement mindset
Able to define metrics and track benefits and adoption
Fluency in English
What we offer
Hybrid Work Model - Flexible hybrid work model with 8-10 in-office days per month, managed by team leaders
Vodafone Products and Services - Employees get a mobile phone, free communication plan, data card, and various discounts on services and products
Recognition - Recognition programs for innovative, creative, high-potential employees and exemplary behaviors
Health and Well-being - Well-being Program offers nutrition and psychological consultations, webinars, workshops, and discounts on various services and products
Learning - Access to Communities of Practice and a customizable digital training platform with high-quality content (namely Harvard Business Publishing, Skillsoft and Speexx)
Local and International Mobility - Internal recruitment with local and international rotation opportunities across departments and roles