Product Owner - Advanced Analytics & AI

Job Description : Description :

At Airbus, we are harnessing the power of artificial intelligence to enhance efficiency and quality across our value chain. Our team is composed of technologists and business leaders dedicated to innovation and excellence.

We are currently seeking an AI Product Owner to lead the execution of our AI-driven product and services with Responsible AI principles at the centre.

This individual will align with business leaders, ensuring their strategic roadmap is understood and communicate to the stakeholders. This individual will be responsible for ensuring execution by collaborating with cross-functional teams.

Qualification & Experience :

Engineering graduate / post-graduate with 15 years of experience in developing, delivering and managing IT solutions.

Minimum of 4-8 years of development experience

Significant, recent experience dedicated to AI / ML-powered products, with a deep understanding of machine learning concepts, models, and development cycles.

Technical Proficiency :

Demonstrable, hands-on experience with AI and Machine Learning concepts and frameworks

Proficiency in Python for data analysis, scripting, and prototyping.

In-depth knowledge and practical experience with cloud platforms, particularly AWS (S3, EC2, SageMaker, etc.) and GCP (Vertex, Gemini LLM etc.).

Understanding the ethical considerations of AI, including fairness, accountability, transparency (XAI - Explainable AI), privacy, and security

Awareness of relevant regulations and compliance standards for AI products.

Knowledge of Agile Project Management methodologies

Key Responsibilities

End-to-End Product Lifecycle Management : Oversee the entire product lifecycle from concept ideation and requirements definition to launch, post-launch analysis, and continuous iteration. Maintain and prioritize the product backlog, create detailed user stories, and define precise acceptance criteria.

Cross-Functional Stakeholder Management : Build and maintain strong relationships with key stakeholders across the organization. Ensure alignment on product strategy and communicate progress, risks, and outcomes effectively.

Define and analyze Key Performance Indicators (KPIs) and product metrics to measure success.

Mentorship and Practice Development : Act as a mentor, fostering best practices in product management and contributing to the overall maturity of the product organization.

Mentoring and developing talent across the organization

Success Metrics

Success will be measured in a variety of areas, including but not limited to

Consistently ensure the on-time delivery and quality (first-time-right) of the projects

Bring innovative cost effective solutions

Build strong bonding among the different teams

Achieve the customer satisfaction

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth.

Company :

Airbus India Private Limited

Employment Type : Permanent

Experience Level : Professional

Job Family : Digital

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Skills Required

Awareness of relevant regulations and compliance standards for AI products, AI and Machine Learning concepts and frameworks, Agile Project Management methodologies