Hiring For Senior Product Owner

The Data/AI Product Owner will be responsible for leading data and AI initiatives within the Operations direction globally, supporting the transformation of processes through automation, data management, and AI use cases. This role involves working closely with cross-functional teams, stakeholders, and external partners located in France, Morocco, India, and Brazil to deliver impactful solutions aligned with organizational goals.

Role & responsibilities

• Lead and coordinate Data/AI projects for Operations direction
  
  Facilitate the portfolio of Data/AI transversal projects/programs (e.g., infrastructure and services monitoring, Process Digitalization) from ideation to successful delivery, ensuring alignment with organizational and operational goals.
• Act as Data/AI Product Owner and drive innovation to meet Operational priorities
  
  Define and prioritize features, develop success metrics, and collaborate with stakeholders to develop relevant AI use cases (e.g noise reduction, impact analysis, self-healing).
• Support data standardization for operational needs
  
  Promote data standardization for the operations direction
• Support data analysis for Operations performance KPIs
  
  Introduce data and AI methods to deduct business outcomes from the operational KPIs.
• Define and track DATA/AI KPIs for existing and new services (e.g., CDN, SDN, 5G, IoT, Data/AI).
• Act as the primary liaison between stakeholders and development teams to ensure clear communication of product vision and goals.
• Own the end-to-end project/product delivery, aligning with stakeholder expectations and needs.
• Identify and prioritize business needs and requirements by collaborating with operations teams.
• Manage project/product backlogs, lead sprint planning, and facilitate communication with development teams, operations, and stakeholders.
• Write user stories and detailed specifications as necessary, ensuring comprehensive test setups.
• Integrate technical constraints and address developer inquiries to facilitate smooth progress.
• Ensure timely delivery in accordance with business expectations while maintaining agility.
• Maintain and prioritize the product backlog based on strategic goals.
• Make informed decisions regarding feature scope and release priorities.
• Ensure the development team understands requirements and acceptance criteria for effective execution.
• Validate and accept completed work, ensuring alignment with established criteria.
• Continuously gather feedback to enhance the product and incorporate improvements.
• Conduct workshops and training sessions to promote understanding of data, AI, and new working methodologies.

Dimensions

• Domains in the scope of data/ai product owner:
• All Business verticals: Infrastructures: submarine, satellite, transmission), Networks (Metrology, internal network tools, IP networks), Telco Cloud & Service monitoring solutions (active & passive)
• IT solutions covering all Operations processes (incident, change, crisis management)

Preferred candidate profile

• Bachelor's degree in engineering, computer science, business management or related fields.
• At least 8 years of industry experience with a proven track record as a product owner or project manager in a technical environment preferable in the data/AI/Digitalization domain.
• 3 - 5 years of experience in managing data, AI, or digital transformation projects.
• Strong understanding of data management, data engineering, and AI use cases.
• Experience working with Agile/Scrum teams and knowledge of project management methodologies.
• Excellent communication skills with the capability to engage effectively with senior executives and technical teams.
• Ability to lead cross-functional teams and manage multiple projects simultaneously.
• Work in a multicultural environment with teams across France, Brazil, India, and other locations.
• Interact with a diverse range of stakeholders, including senior executives (VP/SVP level), operational managers, product owners, and technical experts.
• Experience translating business needs into technical requirements
• Data and AI certification, validation of proficiency in relevant technologies.
• Agile Methodologies (Scrum, Kanban) certification, demonstrating expertise in agile practices.