Role Summary
We are seeking a Manager – AI to support client engagement, business development, and the delivery of AI initiatives. The role involves understanding business needs, identifying opportunities for AI adoption, coordinating with technical teams, and helping clients translate AI capabilities into practical business outcomes.
The ideal candidate will combine strong communication, relationship management, and problem-solving skills with a working understanding of AI, Generative AI, and basic coding. They should be comfortable discussing AI applications with clients and collaborating with specialists to develop proposals, demonstrations, and solutions.
Key Responsibilities
Client Engagement & Relationship Management
- Build and maintain strong relationships with clients, understanding their business priorities, challenges, and AI adoption goals.
- Support client workshops, discovery sessions, presentations, and solution demonstrations.
- Identify relevant AI use cases and communicate their potential benefits, feasibility, and limitations.
- Coordinate with internal teams to address client requirements, manage expectations, and resolve issues.
- Prepare clear presentations, progress updates, and recommendations for business stakeholders.
Business Development & Presales Support
- Support the identification and qualification of AI opportunities across new and existing client accounts.
- Work with sales and technical teams to develop proposals, responses to RFPs and RFIs, statements of work, and client presentations.
- Help define solution scope, business value, delivery approach, and effort estimates.
- Coordinate proofs of concept and demonstrations that address specific client needs.
- Identify opportunities to expand existing engagements through additional AI use cases and services.
- Research industry trends and client needs to support relevant AI offerings and account plans.
Project Coordination & Delivery Management
- Coordinate AI initiatives from initial discovery and planning through implementation and adoption.
- Track milestones, deliverables, dependencies, and risks, keeping stakeholders informed.
- Work with AI engineers, data scientists, developers, and business teams to align solutions with agreed requirements.
- Support requirements documentation, solution testing, user feedback, and acceptance.
- Help define success measures and track business outcomes.
- Support user training, change management, and adoption activities.
AI Understanding & Practical Support
- Maintain a working understanding of AI, machine learning, Generative AI, large language models, and AI agents.
- Use basic coding or scripting skills to support simple prototypes, data preparation, or demonstrations.
- Collaborate with technical specialists to assess solution feasibility and explain proposed approaches to clients.
- Understand common considerations around data quality, privacy, responsible AI, and human oversight.
- Contribute to reusable presentations, proposals, case studies, and demonstration materials.
Required Qualifications & Experience
- Bachelor’s degree in Business, Computer Science, Engineering, Information Systems, or a related discipline. A master’s degree in a relevant field is preferred.
- 3–12 years of relevant experience in consulting, technology services, client management, business development, project delivery, or related roles.
- Working knowledge of AI and Generative AI concepts and their business applications.
- Basic coding or scripting knowledge, preferably in Python, and willingness to work with AI tools.
- Strong communication, presentation, relationship management, and problem-solving skills.
- Ability to translate business requirements into clear briefs for technical teams.
- Strong organizational skills and the ability to coordinate multiple priorities and stakeholders.
Preferred Qualifications
- Exposure to AI projects, digital transformation, technology consulting, or enterprise software solutions.
- Experience supporting proposals, client workshops, demonstrations, or proofs of concept.
- Familiarity with cloud-based AI services, low-code platforms, or workflow automation tools.
- Experience developing business cases or assessing the value of technology investments.
- Relevant AI, cloud, consulting, or project management certifications.