Delivery Manager in Data&AI
Summary
Oversee end-to-end delivery of data, AI, and cloud transformation projects for clients, coordinating teams and stakeholders while applying Agile/Scrum methodologies and Azure ecosystem tools.
As a Delivery Manager, you will be responsible for end-to-end management of project delivery for clients - both from an operational and relationship perspective. This role combines project management, client collaboration, and sales support.
Key technologies
Azure Data Factory | Databricks | MS Fabric
- Minimum 5 years of experience in IT, Data, Analytics or Digital Transformation project management.
- Experience delivering Data Platform, BI, AI or Cloud transformation projects.
- Practical knowledge of Azure ecosystem services, including Azure Data Factory, Databricks and Microsoft Fabric.
- Hands-on experience working with Agile, Scrum, Prince2 or similar project delivery methodologies.
- Understanding of modern data platform architecture, cloud environments and enterprise delivery standards.
- Experience working in consulting, enterprise or customer-facing technology environments.
Soft skills
- Project & Stakeholder Management
Ability to manage multiple projects simultaneously while effectively coordinating stakeholders, priorities, and delivery timelines in dynamic environments. - Communication & Relationship Building
Strong communication and negotiation skills with the ability to present ideas, solutions, and arguments clearly to both technical and non-technical audiences. - Customer & Solution-Oriented Mindset
Ability to understand customer needs and build tailored solution visions aligned with business goals and long-term strategy. - Analytical Thinking & Problem Solving
Ability to analyze complex situations, identify risks and dependencies, and proactively solve project and operational challenges. - Team Collaboration
Strong interpersonal skills and the ability to work effectively with cross-functional teams, including management, directors, architects, engineers, and business stakeholders. - Adaptability & Continuous Learning
Open to learning new technologies, tools, and methodologies in the rapidly evolving Data & AI landscape, with the ability to adapt quickly to changing business needs. - Strategic Thinking & Goal Orientation
Goal-oriented mindset with strong strategic planning skills and the ability to drive initiatives toward measurable business outcomes. - Attention to Detail & Quality Focus
High attention to detail in project coordination, communication, documentation, and delivery quality. - Professionalism & Business Maturity
High personal culture and confidence in working with senior leadership, customers, and enterprise-level stakeholders in professional consulting environments. - English Communication Skills
Fluent English communication skills (minimum B2/C1) enabling effective collaboration in international and client-facing environments.