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Lead strategic retailer partnerships for P&G brands, develop and execute joint business plans, optimize distribution/pricing/shelving, use analytics to drive category growth and promotional decisions, manage trade funds, lead change and develop teams, and meet or exceed financial objectives while traveling as required.

Produce and adapt packaging graphics and digital templates to preserve design intent across product forms. Manage artwork projects in WebCenter, govern asset libraries, perform quality control, ensure regulatory style compliance, track KPIs, and collaborate with Brand, Design, Color & Pre-Press teams to deliver on-time, high-quality artwork.

Lead strategy and execution for the Amazon (3P) marketplace to drive revenue, margin, and brand visibility. Own forecasting, JBP with Amazon, agency management, merchandising, content optimization, AMS/DSP advertising, performance reporting, and cross-functional alignment to scale profitable growth.

The Commercial Team Finance Manager will implement projects, perform financial analysis, support business development, monitor financial performance, and improve processes.

Provide high-level executive support to the CEO of Grooming at P&G, managing schedules, travel, stakeholder communication, and maintaining organizational information.

Design, build, and maintain cloud infrastructure using IaC (Terraform); develop and optimize CI/CD pipelines; manage containerization with Docker and Kubernetes; implement monitoring, logging, and alerting; drive automation and platform improvements; ensure security and collaborate with development teams across the SDLC.

Lead post-production for high-volume brand content: perform advanced video editing, motion graphics, and CG integration; adapt assets across formats; optimize workflows; manage concurrent projects; ensure quality and timely delivery while collaborating with production, creative, and account teams.

Own and improve end-to-end production lines: analyze and develop processes, enhance machines and automation, lead problem-solving, run product tests, plan and implement technical projects, and work with machine suppliers to improve process reliability and standards.

Design, build, test, and deploy AI/ML algorithmic products and scalable data pipelines. Collaborate with cross-functional teams, implement IaC, CI/CD, and MLOps practices, and ensure operational efficiency using observability and automation tools.

Lead and improve end-to-end automation platform service delivery, ensuring reliability, security, and alignment with SLAs/OLAs. Support automation tools (Blue Prism, Knime, Retool), Azure services, GitOps adoption, incident/crisis management, vendor and service level management, testing, documentation, and cross-functional platform projects using ITIL and SRE best practices.