AI Transformation Project Manager

Role And Responsibilities

How You Will Make An Impact:

AI Roadmap Development: Define and implement AI strategies to enhance product features and user experiences, ensuring alignment with business goals.

Product Integration: Oversee the seamless integration of AI technologies into existing products to improve functionality, efficiency, and user satisfaction.

Project Management: Ensure the collection of requirements and effective utilization of AI products in collaboration with AI business representatives.

AI Tool Selection and Evaluation: Evaluate and select AI tools and platforms that best meet the product's needs and objectives, optimizing performance and scalability.

Performance Monitoring: Track and analyze the performance of AI features to ensure they deliver measurable value to users and stakeholders.

User Experience Optimization: Leverage AI insights to enhance user experience, address pain points, and create intuitive, user-centric solutions.

Compliance and Ethics: Ensure AI implementations adhere to ethical standards, data privacy regulations, and company policies, maintaining trust and transparency.

Collaboration with Teams: Work closely with product managers, engineers, and data scientists to align AI initiatives with product goals and drive cross-functional success.

Innovation Leadership: Identify and implement innovative AI solutions to differentiate the product in the market, staying ahead of industry trends.

Change Management: Champion AI adoption within the organization & provide training and resources to team members on AI tools and best practices, fostering a culture of continuous learning and improvement.

Skills And Qualifications

What You'll Need:

Bachelor's or Master's degree in Engineering, Computer Science, Data Science/AI, or a related field.

8-10 years of experience in project or program management, including 2-4 years leading AI, digital, or data-driven transformation initiatives.

Demonstrated success delivering cross-functional technology projects within complex organizations.

Experience in industries undergoing AI-driven transformation (e.g., retail, finance, telecom, healthcare).

Strong knowledge of project and product management methodologies (Agile, Hybrid, Waterfall).

In-depth understanding of AI/ML technologies, data lifecycle, and analytics frameworks, with both technical and business fluency.

Familiarity with AI platforms and tools such as TensorFlow, PyTorch, and cloud-based AI services (AWS AI, Google AI, etc.)

Excellent strategic planning skills to align AI initiatives with business objectives and product roadmaps.

Proven ability to lead cross-functional teams, including engineers, data scientists, and product managers.

Outstanding stakeholder management and communication skills, with the ability to explain complex AI concepts to non-technical audiences.

Expertise in change management and driving organizational transformation.

Certifications such as PMP, PRINCE2, Agile/Scrum Master, or AI/ML certifications (e.g., Google Cloud, AWS AI) are a plus.

Prior consulting or advisory experience in AI transformation is preferred.

Familiarity with ethical AI principles, AI frameworks, and governance practices.