This role is responsible for coordinating the development, enhancement, and innovation of IT, AI, GenAI, Data Analytics, and Data Engineering solutions, ensuring that projects are delivered on time, within budget, and in line with business and customer requirements.
The Delivery Manager is accountable for engaging the appropriate resources to successfully deliver activities across IT, AI, and Data Analytics projects, ensuring quality and cost objectives are met. The role provides end-to-end visibility across the full delivery lifecycle of products and services, overseeing project execution from planning through implementation and delivery.
- Management of the scope, development, implementation, testing, and delivery of scripts, programs, and integrated software solutions, customized according to Enterprise customer requirements in company local markets and partner markets, using various programming techniques, ensuring that the product is functionally fit and ready for use.
- Coordinates all project phases, from assessment of an initiative (collection of business requirements and proposal of a solution), to implementation and project testing, and finally the transition of the solution to day-to-day operations.
- The role holder ensures that the scope and objectives delivered by the programme /project are aligned with external customer requirements, including budget, time, and performance indicators.
- Creates and monitors the project plan together with all relevant stakeholders, and also validates it with customers and end users; also generates the resource plan for project execution and ensures that the required resources are allocated.
- Together with the delivery teams, working as an IT software and hardware solution provider, assesses project complexity from a technical perspective, implementation duration, and required budget. Evaluates potential alternative solutions at the customer’s request.
- Works with software developers and IT architects to generate technical specifications used in the launch of software products, used as a foundation for international launches of integrated software services and products.
- Coordination of the development of test scenarios and tests for the new software solutions to be delivered to Enterprise customers.
- Coordination of the delivery of software solutions and products to customers, ensuring their quality and compliance with the specific requirements requested by each customer.
- Management of the transition of services/solutions to operations, multiple operational teams, and market implementations, with focus on continuous improvement of service quality.
- Monitors all project activities (design, development, testing, changes, subcontractor deliverables) so that deadlines agreed with customers are not exceeded. Creates/evaluates the risk matrix for ongoing projects.
- Ensures that all IT deliverables (documentation, software, operating manual) meet customer requirements. Ensures that defect analysis is complete and that the necessary resulting actions are tracked and implemented.
- Coordinates project teams to deliver projects, motivates them, develops their capabilities, and helps them plan their personal development.
- Sets objectives and evaluates employees in the team.
- Reports all customer projects on time. Proactively prevents issues and notifies them.
Main deliverables for external customers:
- Project plan required for coordinating resources in order to develop, test, and implement software products and/or services within an agreed timeframe and to an agreed standard.
- Communication plan and RACI matrix with roles and responsibilities within business process transformation projects, covering all six Enterprise portfolios.
- Plans for developing IT systems across all EP&S business areas.
- Quality plan.
- Risk matrix identified before or during projects within the Enterprise portfolios: converged communications, connectivity, IoT, Cloud.
- Progress report for activities and products in development or already implemented.
- Financial reports, including budget definition.
- Reports and documents with the results of operational analyses performed.
- Process flow analyses across all business lines in the Enterprise area.
- Lessons learned document at the end of projects, integrated across all portfolios in the Enterprise area.
- Performance indicators (KPIs) for all coordinated portfolios.
- Detailed knowledge of IT project and programme management
- Budget management experience and financial knowledge
- Experience in managing large teams
- Experience in establishing new services and projects in a complex multicultural environment
- Experience with various project delivery models
- Proven experience in IT process reorganisation
- Excellent communication capabilities, both in English and Romanian
- Experience in delivering AI, GenAI, Data Analytics, Data Engineering, and Digital Transformation programmes in complex enterprise environments.
- Understanding of Generative AI, LLM, RAG, AI Agents, Machine Learning, and Analytics solutions, with the ability to coordinate delivery across the full solution lifecycle.
- Experience in coordinating multidisciplinary teams made up of Product Owners, Solution Architects, Data Engineers, AI/ML Engineers, Software Developers, Scrum Masters, and Business SMEs.
- Ability to manage senior stakeholders and lead delivery toward clear business outcom
Mandatory technical requirements:
- A good understanding of:
- IT standards
- technology trends
- “account management” and “project management” principles
- Information security
- Software solution development
- IT solution delivery models
- ITIL, PRINCE 2, PMP, MSP, (Scaled) Agile framework
- Working experience in several roles and domains within software development management and IT infrastructure
- modern data and AI architectures: Data Lake, Data Warehouse, Real-Time Analytics, AI/ML Platforms, and cloud-native capabilities
- the lifecycle of AI products, from requirements, data, and modelling to implementation, monitoring, and continuous improvement
- cloud platforms and AI/Data ecosystems, such as Azure, GCP, or AWS
- Responsible AI, AI Governance, Data Governance, Privacy, Security by Design, and Compliance principles
Preferred:
- Master’s degree in Computer Science / Informatics / Management / Business / Communications
- ITIL, PRINCE2/PMP, MSP, MoR, Agile Project Management, SAFe
Mandatory:
- Degree in Computer Science / Informatics / Management / Economics / Business / Communications
- Minimum 5-7 years of experience
Benefits
- Full access to foreign language learning platform
- Personalized access to tech learning platforms
- Tailored workshops and trainings to sustain your growth
- Medical insurance
- Meal tickets
- Monthly budget to allocate on flexible benefit platform
- Access to 7 Card services
- Wellbeing activities and gatherings