Back
Medium - senior, metro, and consultancy brand create moderate competition despite niche AI delivery requirements.
High - role demands AI delivery and consulting experience, reducing cross-industry transferability.
High - explicit 10+ years, consulting delivery experience, and hands-on technical background required.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead technical delivery for multiple AI workstreams and pods, managing sprint cadence, release plans, and technical milestones.
Translate AI architecture and designs into buildable plans, including backlog health and dependency management.
Coach project managers and scrum leads while improving delivery processes, estimation models, and engineering standards across engagements.
10+ years managing technical delivery of software or AI/ML projects, with 4+ years in consulting or client delivery.
Technical background (engineering, data, or architecture) sufficient to read architecture diagrams and assess estimates.
Experience running multiple concurrent agile pods or workstreams in a program.
Bachelor's degree in Engineering, Computer Science, or related field.
Experienced in agile delivery at scale with strong backlog and dependency management skills across AI/GenAI projects.
Comfortable engaging with both technical teams and executive stakeholders, including managing architecture, security, and data privacy discussions.
Hands-on understanding of AI solution lifecycles, MLOps, modern engineering practices, and cloud platforms (AWS, Azure, GCP, or OCI).