1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Location
onsite, London, ENG, United Kingdom
Commitment
Full Time
Level
Junior (<2 years)
At Avanade, our Microsoft Secure AI Associate Managers help clients adopt and scale AI securely by designing, implementing, and governing Microsoft's AI, Security, Identity, and Data Protection technologies across enterprise environments. In this client-facing consulting role, you will help organisations unlock business value from Microsoft Copilot, Azure AI Foundry, and other AI capabilities while ensuring security, compliance, data protection, and identity controls are embedded from the outset. You will work with clients to assess AI readiness, establish secure AI operating models, implement governance controls, and design architectures aligned to Zero Trust principles. Join a curious and diverse team that's passionate about next-generation technology and establish yourself as a leader in one of the fastest-growing areas in cybersecurity and AI. Together, let's transform how organisations securely adopt AI.
As a member of Avanade's Security Practice, you will work across both Avanade and Accenture clients, supporting medium-sized organisations through to large global enterprises. You will contribute to client delivery, solution development, thought leadership, and the evolution of Avanade's Secure AI offerings. This is an opportunity to establish yourself as a leader in Secure AI, Microsoft Security, and Data Protection. You will help clients safely accelerate AI adoption while leveraging Microsoft's Security, Compliance, Identity and AI ecosystem.
You will work with clients to design and implement secure AI and Zero Trust architectures using Microsoft technologies, including:
Experience delivering Microsoft Security, Compliance, Identity, or Data Protection solutions. Strong understanding of Zero Trust security principles. Experience with Microsoft Purview, including Information Protection, DLP, Compliance, or DSPM capabilities. Experience with Microsoft Entra ID, Conditional Access, Identity Protection, PIM, or Identity Governance. Understanding of Microsoft Copilot security and governance considerations. Experience conducting security assessments, workshops, and advisory engagements. Strong client-facing consulting and stakeholder management skills. Ability to produce high-quality architecture documentation and technical designs.
Experience with Microsoft 365 Copilot deployments. Experience with Copilot Studio or Agent-based AI solutions. Experience with Azure AI Foundry and Azure AI Services. Knowledge of AI security frameworks and emerging AI governance standards. Security certifications such as SC-100, SC-200, SC-300, SC-400, AZ-500, or equivalent. Experience in regulated industries such as Financial Services, Healthcare, Government, or Energy.