Quality & Food Safety IT Project Manager – AI-Driven Delivery

mars; Polska; Presencial; PLN 180.000 - 240.000; Jornada completa

Descripción de la vacante

Mars Inc. is seeking a Quality and Food Safety IT Project Manager to lead end-to-end delivery of digital programs across the QA & FS domain, from initial discovery through MVP rollout to continuous improvement.

You will collaborate with Product Owners, SMEs, Enterprise Architecture, Analytics, and Digital Teams to ensure solutions meet R&D standards and operational goals, while managing vendor relationships and exploring AI-enabled innovations.

Formación

• 5+ years delivering business capability within a function (prefer R&D) in the CPG sector.
• Bachelor's degree or equivalent in a relevant field.
• Experience deploying digital solutions (cross-segment).
• Strong project management and ability to advocate stage gates.
• Excellent English communication.
• Technical awareness of AI and new digital platforms.
• Capability to deliver through others.
• Experience working in ambiguous, changing contexts.

Responsabilidades

• Lead end-to-end delivery of Quality & Food Safety digital programs across the product lifecycle, from discovery to MVP rollout and ongoing improvement.
• Partner with Product Owners, SMEs, Enterprise Architecture, Analytics, and Segment Digital teams to ensure solutions meet R&D standards and goals.
• Govern Tier 1 and Tier 2 vendor relationships, oversee resources, milestones, and budget execution.
• Identify and evaluate emerging technologies (including AI) to drive modernization in the Quality & Food Safety domain.

Conocimientos

PM skills

English communication

People leadership

Adaptability

Ambiguity management

Educación

Bachelor's degree or equivalent

Descripción del empleo

Mars Inc. is seeking a Quality and Food Safety IT Project Manager to lead end-to-end delivery of digital programs across the QA & FS domain, from initial discovery through MVP rollout to continuous improvement.

You will collaborate with Product Owners, SMEs, Enterprise Architecture, Analytics, and Digital Teams to ensure solutions meet R&D standards and operational goals, while managing vendor relationships and exploring AI-enabled innovations.