Senior Technical Architect

Job Summary

AI Product Manager -JD

• Extensive experience as a Product Manager in a technology-driven field, preferably with direct exposure to AI product management

• Drive overall program planning, execution, and delivery governance for the AI/ML Lab.

• Partner with domain SMEs and business stakeholders to define PoC, Pilot, and MVP roadmaps.

• Establish and manage cross-functional agile teams, ensuring timely and high-quality outcomes.

• Robust understanding of artificial intelligence, machine learning, and related technologies

• Demonstrated ability to develop product strategies and effectively communicate recommendations to executive management

• Strong problem-solving skills and willingness to think outside the box

• Excellent teamwork skills with an ability to get the work done with minimal supervision

• Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable

• Proven track record of managing all aspects of a successful product throughout its lifecycle

Key Responsibilities

AI Product Manager -JD

• Extensive experience as a Product Manager in a technology-driven field, preferably with direct exposure to AI product management

• Drive overall program planning, execution, and delivery governance for the AI/ML Lab.

• Partner with domain SMEs and business stakeholders to define PoC, Pilot, and MVP roadmaps.

• Establish and manage cross-functional agile teams, ensuring timely and high-quality outcomes.

• Robust understanding of artificial intelligence, machine learning, and related technologies

• Demonstrated ability to develop product strategies and effectively communicate recommendations to executive management

• Strong problem-solving skills and willingness to think outside the box

• Excellent teamwork skills with an ability to get the work done with minimal supervision

• Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable

• Proven track record of managing all aspects of a successful product throughout its lifecycle

Skill Requirements

AI Product Manager -JD

• Extensive experience as a Product Manager in a technology-driven field, preferably with direct exposure to AI product management

• Drive overall program planning, execution, and delivery governance for the AI/ML Lab.

• Partner with domain SMEs and business stakeholders to define PoC, Pilot, and MVP roadmaps.

• Establish and manage cross-functional agile teams, ensuring timely and high-quality outcomes.

• Robust understanding of artificial intelligence, machine learning, and related technologies

• Demonstrated ability to develop product strategies and effectively communicate recommendations to executive management

• Strong problem-solving skills and willingness to think outside the box

• Excellent teamwork skills with an ability to get the work done with minimal supervision

• Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable

• Proven track record of managing all aspects of a successful product throughout its lifecycle

Other Requirements

AI Product Manager -JD

• Extensive experience as a Product Manager in a technology-driven field, preferably with direct exposure to AI product management

• Drive overall program planning, execution, and delivery governance for the AI/ML Lab.

• Partner with domain SMEs and business stakeholders to define PoC, Pilot, and MVP roadmaps.

• Establish and manage cross-functional agile teams, ensuring timely and high-quality outcomes.

• Robust understanding of artificial intelligence, machine learning, and related technologies

• Demonstrated ability to develop product strategies and effectively communicate recommendations to executive management

• Strong problem-solving skills and willingness to think outside the box

• Excellent teamwork skills with an ability to get the work done with minimal supervision

• Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable

• Proven track record of managing all aspects of a successful product throughout its lifecycle