Principal Data & AI Consultant

Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. Drive engineering excellence through reusable components, accelerators, and scalable architecture. Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes. Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit. Use design thinking to shape user‑centric solutions, aligning business goals, architecture decisions, and delivery execution. Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. 20+ years of experience in software/solution engineering, with at least 3-5 years in delivery leadership roles. Proven experience in leading delivery of complex, multi-disciplinary projects. Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.). Excellent communication, stakeholder management, problem-solving, and team leadership skills. Bachelor's degree in computer science, Engineering, or related field (or equivalent experience). Relevant certifications are a plus. …

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