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
Responsibilitiesb 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 includeb Scrum ceremonies
Negotiation 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
b Must haveA minimum of 4 years relevant experience in project management scrum master agile delivery delivery coordination or programme support roles
Maintain 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 Dev Ops APIs data pipelines and SDLC Utilize delivery and collaboration tools like Azure Dev Ops 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 initiatives
Strong delivery discipline across scope timeline risk dependency quality and governance management
Excellent written and verbal communication skills with the ability to translate complex delivery or technical topics into clear business language
Excellent interpersonal facilitation negotiation and stakeholder engagement skills
Experience using delivery and collaboration tools such as Azure Dev Ops Microsoft 365 Teams SharePoint Power BI or similar platforms
Working knowledge of technology delivery environments and concepts cloud platforms data platforms Dev Ops APIs data pipelines and SDLC without requiring deep hands-on engineering ownership
Ability to provide conflict resolution and support constructive decision-making across cross-functional teams
Having strong planning organizational and follow-through skills with high attention to detail
Nice to have Bachelor s or master s degree in Computer Science Engineering Information Technology Business or a related discipline
Exposure to agile frameworks such as Scrum Kanban SAFe or Product Owner practices
Practical awareness curiosity or exposure to AI generative AI Copilot workflow automation or AI-assisted delivery practices
Relevant professional training or certifications in project management agile delivery AI or automation
Understanding of responsible AI data protection confidentiality security and governance considerations when applying AI-enabled solutions
Experience working alongside data engineering tools and cloud ecosystems e g Python PySpark SQL Azure AWS Databricks Other Languages English C1 Advanced A minimum of 4 years relevant experience in project management, scrum master, agile delivery, delivery coordination, or programme support roles
Maintain 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, Dev Ops, APIs, data pipelines, and SDLC).Utilize delivery and collaboration tools like Azure Dev Ops, 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 initiatives
Strong delivery discipline across scope, timeline, risk, dependency, quality, and governance management
Excellent written and verbal communication skills, with the ability to…
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