Project Manager/Scrum Master

Luxoft; Abu Dhabi; On-site; AED 180,000 - 300,000; Full time

Job summary

Luxoft in Abu Dhabi is seeking a seasoned Project Manager/Scrum Master to join the Development and Engineering arm of ITD. The role covers day-to-day project management, offshore delivery coordination, governance, and ongoing improvement of delivery practices, with a focus on AI automation for reporting, RAID, backlog insights, and workflow automation.

You will lead cross-functional teams, align with data, security, and engineering stakeholders, and apply agile ceremonies, risk management, and

Qualifications

• Minimum 4 years of experience in project management, scrum master, agile delivery, delivery coordination or programme support roles.
• Strong understanding of tech delivery environments engaging with engineering, data, architecture, security and business teams.
• Experience with data and engineering concepts, cloud platforms, data platforms, DevOps, APIs, data pipelines and SDLC.
• Proficiency with delivery tools such as Azure DevOps, Microsoft 365, Teams, SharePoint and Power BI.
• Excellent communication, stakeholder engagement, and ability to translate complex topics into clear business language.

Responsibilities

• Day-to-day project management and people management in the offshore delivery center.
• Manage delivery scope, timelines, project status reporting and other PM activities.
• Lead introduction and enhancement of software development methodologies within the project.

Skills

Project management

Scrum Master

Agile delivery

Delivery coordination

Programme support

Stakeholder engagement

Communication

Facilitation

Planning and organisation

Education

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Business or related discipline

Tools

Azure DevOps

Power BI

Microsoft 365

Teams

SharePoint

Python

PySpark

SQL

Databricks

Cloud platforms

Job description

As part of the Development amp Engineering section within the Information Technology Department ITD this role supports project and programme delivery agile ways of working and the continuous improvement of delivery processes The initiative involves the development and management of in-house applications and data platforms supporting projects from inception to acceptance while maintaining appropriate governance standards delivery discipline and industry good practices Additionally the project focuses on leveraging AI automation and AI agents to enhance operational delivery practices such as automated reporting action tracking RAID management backlog insights and workflow automation across project and agile delivery practices b b b

Responsibilities

b This person will be responsible for day-to-day project management and people management in the offshore delivery center They will also be responsible for the delivery scope timeline project status reporting and other PM activities Hands-on knowledge of software development methodologies is essential Agile knowledge is a plus

b b b Responsibilities will also include

b Scrum ceremoniesNegotiation with the customer and on-site Project Managers delivery management requirements management requirements analysis etc Introduction and enhancements of software development methodologies within the project Coordination and collaboration with other projects and QA engineers Change management process facilitation Team motivation team building assessment of project team members

Skills

b Must haveA minimum of 4 years relevant experience in project management scrum master agile delivery delivery coordination or programme support rolesMaintain a working understanding of tech delivery environments to engage effectively with engineering data architecture security and business teams Experience with data and engineering concepts cloud platforms data platforms DevOps APIs data pipelines and SDLC Utilize delivery and collaboration tools like Azure DevOps Microsoft 365 Teams SharePoint and Power BI Understand the purpose and delivery implications of technologies like Python PySpark SQL Azure AWS and Databricks Translate technical context into clear delivery plans risks dependencies decisions and stakeholder communications Practical experience supporting technology software data platform or digital transformation initiativesStrong delivery discipline across scope timeline risk dependency quality and governance managementExcellent written and verbal communication skills with the ability to translate complex delivery or technical topics into clear business languageExcellent interpersonal facilitation negotiation and stakeholder engagement skillsExperience using delivery and collaboration tools such as Azure DevOps Microsoft 365 Teams SharePoint Power BI or similar platformsWorking knowledge of technology delivery environments and concepts cloud platforms data platforms DevOps APIs data pipelines and SDLC without requiring deep hands-on engineering ownershipAbility to provide conflict resolution and support constructive decision-making across cross-functional teamsHaving strong planning organizational and follow-through skills with high attention to detailNice to haveBachelor s or master s degree in Computer Science Engineering Information Technology Business or a related disciplineExposure to agile frameworks such as Scrum Kanban SAFe or Product Owner practicesPractical awareness curiosity or exposure to AI generative AI Copilot workflow automation or AI-assisted delivery practicesRelevant professional training or certifications in project management agile delivery AI or automationUnderstanding of responsible AI data protection confidentiality security and governance considerations when applying AI-enabled solutionsExperience working alongside data engineering tools and cloud ecosystems e g Python PySpark SQL Azure AWS Databricks Other LanguagesEnglish C1 Advanced A minimum of 4 years relevant experience in project management, scrum master, agile delivery, delivery coordination, or programme support rolesMaintain a working understanding of tech delivery environments to engage effectively with engineering, data, architecture, security, and business teams.Experience with data and engineering concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC).Utilize delivery and collaboration tools like Azure DevOps, Microsoft 365, Teams, SharePoint, and Power BI.Understand the purpose and delivery implications of technologies like Python, PySpark, SQL, Azure, AWS, and Databricks.Translate technical context into clear delivery plans, risks, dependencies, decisions, and stakeholder communications.Practical experience supporting technology, software, data, platform, or digital transformation initiativesStrong delivery discipline across scope, timeline, risk, dependency, quality, and governance managementExcellent written and verbal communication skills, with the ability to translate complex delivery or technical topics into clear business languageExcellent interpersonal, facilitation, negotiation, and stakeholder engagement skillsExperience using delivery and collaboration tools such as Azure DevOps, Microsoft 365, Teams, SharePoint, Power BI, or similar platformsWorking knowledge of technology delivery environments and concepts (cloud platforms, data platforms, DevOps, APIs, data pipelines, and SDLC) without requiring deep hands-on engineering ownershipAbility to provide conflict resolution and support constructive decision-making across cross-functional teamsHaving strong planning, organizational, and follow-through skills with high attention to detailBachelor s or master s degree in Computer Science, Engineering, Information Technology, Business, or a related disciplineExposure to agile frameworks such as Scrum, Kanban, SAFe, or Product Owner practicesPractical awareness, curiosity, or exposure to AI, generative AI, Copilot, workflow automation, or AI-assisted delivery practicesRelevant professional training or certifications in project management, agile delivery, AI, or automationUnderstanding of responsible AI, data protection, confidentiality, security, and governance considerations when applying AI-enabled solutionsExperience working alongside data engineering tools and cloud ecosystems (e.g., Python, PySpark, SQL, Azure, AWS, Databricks).