AI Practice Delivery Lead
Job Summary
The AI Practice Delivery Lead (Senior Manager) is a strategic leadership role responsible for spearheading advanced AI engineering practices within a consulting context. This position involves end-to-end accountability for client project delivery, solution architecture, practice growth, and P&L management. The role requires a thought leader capable of bridging high-level AI strategy with technical implementation across diverse enterprise industries.
Responsibilities
- Manage end-to-end AI project delivery and solution architecture.
- Drive GTM strategy, sales, and business development for AI services.
- Oversee P&L, resource allocation, and profitability of the AI practice.
- Advise C-suite clients on AI strategy, implementation, and governance.
- Mentor and scale high-performing AI engineering and data teams.
Required Skills
- 12+ years in AI/Advanced Analytics.
- 3-5 years in consulting leadership.
- Expertise in LLMs, GenAI, and MLOps.
- Strong P&L management and commercial acumen.
- Executive stakeholder management and presentation skills.
Job Details
### Role Overview
The AI Practice Delivery Lead acts as a senior leader with end-to-end accountability for client success and practice growth. You will oversee multi-project delivery, shape solution architectures, and ensure technical excellence while driving sales, go-to-market (GTM) strategy, and P&L management.
### Key Responsibilities
- **Practice & Delivery Leadership:** Oversee end-to-end delivery of concurrent AI engagements, acting as the final technical authority for complex systems (enterprise LLM applications, CV/NLP/analytics).
- **Sales & Business Development:** Drive GTM efforts, partner with account teams to identify new business, and lead client proposals, demos, and prototypes.
- **P&L and Practice Management:** Serve as P&L owner, developing business plans, pricing strategies, and resource allocation to improve margins and delivery efficiency.
- **Client Advisory:** Act as a trusted advisor to senior client executives, shaping AI strategies, conducting workshops, and ensuring project alignment with business goals.
- **Technical Innovation:** Stay current with AI advancements (LLMs, RAG, reinforcement learning) and champion responsible AI, security, and compliance standards.
- **Team Development:** Build high-performing teams, mentor engineers, and foster a culture of continuous learning and cross-functional collaboration.
### Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or relevant field (MBA is an advantage).
- 12+ years of experience in advanced analytics or AI engineering, with at least 3–5 years in a consulting leadership role.
- Proven track record of leading large-scale AI solution implementations and managing multi-million-dollar programs.
- Strong commercial acumen with experience in scoping AI engagements, pricing, and contract negotiation.
- Extensive knowledge of AI/ML architectures, large language models, cloud infrastructure (Azure, AWS, GCP), and MLOps.
- Ability to bridge complex technical concepts with strategic business insights for C-suite and senior executive audiences.
- Up-to-date knowledge of APAC regulatory environments and AI governance.