Manager-Advisor AI
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Key skills for this role
About the Role
Provide strategic advisory on AI, develop transformation plans, lead solution design, and ensure delivery while building governance and capabilities.
Key Skills for This Role
Responsibilities
- Partner with executive leadership on AI priorities and develop enterprise AI roadmaps
- Evaluate use cases and prioritize opportunities based on value and feasibility
- Lead end to end design of AI solutions including data, models, workflows, and governance
- Convert approved initiatives into structured execution plans and coordinate delivery
- Support responsible AI adoption, establish KPIs, and build internal capability
Requirements
- Experience in AI/ML and enterprise AI transformation
- Ability to develop AI roadmaps and business cases
- Experience with GenAI, copilots, RAG, and workflow automation
- Strong communication and stakeholder management skills
Full Job Posting
Strategic Advisory
- Partner closely with the executive leadership on AI priorities.
- Assess organizational challenges and identify areas where AI can improve performance, efficiency, service quality, or growth.
- Develop enterprise AI roadmaps and transformation plans.
- Provide market insight on emerging AI capabilities and relevant use cases.
Opportunity Identification & Business Value Creation
- Evaluate use cases across corporate functions, operations, customer services, analytics, and productivity.
- Prioritize opportunities based on value, feasibility, speed, and readiness.
- Build business cases with expected ROI, cost, risk, and implementation requirements.
Solution Design & Architecture
- Lead end to end design of AI solutions including data, models, workflows, governance, and integrations.
- Architect solutions using cloud, hybrid, or on premise environments.
- Design GenAI, copilots, RAG, workflow automation, and agent based solutions.
- Recommend suitable technologies and vendors based on business requirements.
Delivery Leadership
- Convert approved initiatives into structured execution plans.
- Coordinate internal teams, vendors, and stakeholders to ensure timely delivery.
- Oversee pilots, proofs of concept, production deployments, and scaling.
- Track progress, resolve blockers, and maintain delivery momentum.
Governance & Capability Building
- Support responsible AI adoption, controls, security, and risk management.
- Establish KPIs, dashboards, and value tracking mechanisms.
- Build internal awareness and capability through workshops and leadership sessions.
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