​The client is undergoing a transformation of its Identity and Access Management practices including the delivery of a set of net new tools to overhaul how IAM is carried out in the industry. We are seeking an experienced IAM Delivery Lead - who has a good understanding of Identity Management and a successful track record of working in complex and global organisations at fast pace. The role will report to the Programme Manager and be part of a dynamic and highly skilled team.

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Key Responsibilities

• Manage several of the Identity Governance and Administration (IGA) Workstreams supporting the adoption of IAM across Global Business and Global Functions

• Work with the team using standard PM reporting practices ensuring JIRA & Confluence is kept up to date

• Support team in understanding and unblocking problems preventing progress

• Work with team to identify areas for continuous improvement across the programme

• Lead assigned internal stakeholders and vendors to deliver on the agreed scope

• Engage with business and technology stakeholders to agree priorities

• Proactively follow up with project resources and ensuring workstream delivers to the agreed schedule

• Highlight any concerns with progress to the programme manager to ensure delivery stays on track

• Effectively handing changes to plan, resourcing and new requirements

• Provide weekly reporting of status, risks and issues across the workstream
  

Key Experience required:

• Strong project management skills

• Good technical understanding of DevOps, Jenkins, CI/CD Pipelines, Cloud and on-premise infrastructure platforms.

• Previous hands-on experience of delivering IAM projects

• Good technical understanding of IAM and controls capabilities and requirements

• Strong stakeholder engagement and excellent communication skills involving senior stakeholders

• Positive, pro-active team player working as part of a large programme / global team

• Good understanding of regulatory and audit requirement

• An inquisitive nature with a rapid aptitude for learning