AI Delivery Owner

Responsibilities

• Delivery of AI Solutions: Ensure the delivery of performant, robust AI solutions that create value in their respective value pool(s).
• Project Follow-Up: Follow up on projects, attend customer meetings if needed, make sure projects progress as planned and flag risks to Delivery Lead if relevant.
• Technical Support: Provide general technical guidance for projects and coordinate accordingly if additional support from technical enabler teams is necessary.
• Project Status & Value Reporting: Be responsible for project status and value reporting in their respective value pool(s).
• Quality Delivery & KPI Achievements: Be accountable for quality delivery and achieving key performance indicators (KPIs).
• Project Documentation: Ensure project documentation is maintained, with Data Scientists responsible and the Delivery Owner accountable.
• Data Scientist Coaching: Act as a coach for Data Scientists in order to support them in the delivery of their projects.
• Team & Stakeholder Alignment: Ensure alignment between Data Scientists and stakeholders happens efficiently.
• Stakeholder Management: Act as the Single Point of Contact (SPOC) and trusted partner for the customers of their value pool(s).
• Roadmap Definition: Together with the Program Manager and the business counterpart, maximizes value delivered by AI by supporting the roadmap definition.
• Capacity Optimization: Detect Data Scientist(s) having additional bandwidth to optimize value pool project assignment across value pools.
• Recruitment Support: Support the recruitment process for roles in their scope.
• Onboarding Support: Support onboarding for new team members in their scope.
• Collaboration: Responsible for project visibility and enabling potential synergies within or across value pool(s).
• Stay Up To Date: Follow up on the latest trends and technologies in AI, in particular related to their value pool(s).

Required Skills

• Strong expertise in AI and machine learning technologies.
• Knowledge of the latest trends in AI.
• Experience in end-to-end project delivery.
• Strong overall technical background.
• Excellent project management skills.
• Ability to manage roadmaps.
• Effective stakeholder management and communication skills.
• Can spot opportunities for value in the larger strategic scope.
• Strong problem-solving and analytical skills.

Attitudes & Behaviour

• Proactive and results oriented.
• Willingness to communicate / collaborate with clients.
• Ability to work collaboratively with cross-functional teams.
• Adaptable and open to learning new technologies and methodologies.
• Strong sense of accountability and responsibility.
• Willingness to gain expertise in a specific value pool.

Languages

• Professional working proficiency in English is required.
• Fluency in French and/or Dutch is a big plus.

Organigram

• Reports to the AI Delivery Lead.
• Collaborates mainly with the Business Development Lead, Tech (enabling) Lead(s), and Talent Manager.
• Manages Data Scientists within their value pool(s) (excluding personal development).