Manager – Gen AI

Jobtailor; Mumbai; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Jobtailor in Mumbai seeks a senior AI strategy consultant to lead Agentic AI, GenAI, and analytics-driven initiatives across portfolio companies.

You will translate business needs into AI architectures, develop accelerators and playbooks, and drive data readiness, governance, and value realization with C-suite stakeholders.

Qualifications

• MBA/PGDM/master’s degree in data science, AI, Analytics, or Business Management.
• Engineering or quantitative background preferred.
• 10–12 years of experience in Agentic AI, digital transformation, and strategy consulting.
• Proven track record in AI-driven transformation programs, including Agentic AI, GenAI, predictive analytics, and process mining.
• Experience in building and deploying accelerators, playbooks, or proprietary platforms for data-driven consulting.
• Exceptional client engagement and stakeholder management skills, especially with C‑suite executives.
• Strong problem‑solving mindset with the ability to translate AI into business value.
• Excellent communication, presentation, and leadership abilities.
• Preferred certifications: GenAI and LLM focused, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.).

Responsibilities

• Define and execute Agentic AI, GenAI, and analytics-driven strategies with leadership alignment.
• Develop and deploy AI implementation playbooks, frameworks, and accelerators.
• Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies.
• Conduct AI readiness evaluation for data quality, lineage, security, and architecture.
• Review enterprise data to identify gaps and strengthen data foundations across ERP and core systems.
• Define prioritized actions to fix gaps and enable AI use cases.
• Lead Agentic AI initiatives translating business requirements into agent architectures, workflows, and capabilities.

Skills

Client engagement

Stakeholder management

Problem solving

Communication

Leadership

Education

MBA / PGDM / master’s in data science, AI, Analytics, or Business Management

Tools

GenAI certification

LLM certification

AI/ML certification

Job description

Responsibilities

• Partner with Operating Partners and leadership teams to define and execute Agentic AI, GenAI, and analytics-driven strategies.
• Develop and deploy AI implementation playbooks, frameworks, and accelerators that drive tangible value creation.
• Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies.
• Assess whether data is clean, secure, well‑structured, and ready for AI i.e.: AI‑readiness evaluation (quality, lineage, security, architecture).
• Review existing enterprise data to identify gaps and issues and evaluate the strength of data foundations across ERP and core systems.
• Define clear, prioritized actions to fix gaps and enable AI use cases.
• Lead Agentic AI initiatives, translating business and functional requirements into agent architectures, workflows, and capabilities.

Requirements

• Educational background: MBA / PGDM / master’s degree in data science, AI, Analytics, or Business Management.
• Engineering or quantitative background preferred.
• 10–12 years of experience in Agentic AI, digital transformation, and strategy consulting.
• Proven track record in AI-driven transformation programs, including Agentic AI, GenAI, predictive analytics, and process mining.
• Experience in building and deploying accelerators, playbooks, or proprietary platforms for data-driven consulting.
• Exceptional client engagement and stakeholder management skills, especially with C‑suite executives.
• Strong problem‑solving mindset with the ability to translate AI into business value.
• Excellent communication, presentation, and leadership abilities.
• Preferred certifications: GenAI and LLM focused, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.).

Core Competencies

Demonstrates expertise in Agentic AI, GenAI, and analytics-driven strategies, with a strong focus on AI implementation, data optimization, and digital transformation. Proven ability to lead initiatives that translate AI capabilities into business value while ensuring data quality and security.