Creative project manager

Intro marketing language As a Project Manager on the Brand Operations AI Transformation team, you'll blend traditional project management with expertise in AI/ML technologies, overseeing AI projects from conception to delivery and acting as a critical bridge between highly technical teams, creatives, brand managers and business stakeholders. Your work will help the Brand team continue delivering engaging, brand-aligned creative to millions of customers. Job summary You'll lead, plan and execute AI/ML projects, bringing a deep understanding of project management, data management and AI methodologies so we can deliver AI initiatives on time, within scope, on budget and aligned with Brand guidelines as well as business goals. You will be responsible for coordinating cross-functional teams, managing project lifecycles and reporting progress and results to partners and leadership in both tech and marketing teams. Join us and help bring AI transformation to life for our Brand organization! Job responsibilities Project lifecycle management: Plan and oversee all stages of AI-led creative projects, from ideation and data collection to delivery, as well as model training, monitoring and reporting. Cross-functional partnerships: Act as a critical bridge between highly technical teams, creative teams and business/marketing stakeholders, ensuring seamless project delivery, resource optimization and robust controls adherence through ongoing communication. Work across/coordinate diverse, cross-functional teams for the purpose of creative delivery, including AI technologists, prompt engineers, brand managers and creatives. Foster a collaborative environment and help resolve conflicts. Strategic planning and alignment: Define project scope, objectives and success metrics for AI-powered deliverables. Ensure AI solutions provide measurable business value and align with the company's overall strategic goals. Stakeholder communication: Serve as the primary liaison between brand management and creative teams, translating complex AI concepts into clear, actionable business insights. Risk and quality management: Work with creative technologists and prompt engineers to proactively identify, assess and mitigate risks, including those related to timeline/execution, data quality, model bias or ethical concerns. Ensure AI solutions meet high-quality and regulatory standards. Budget and resource management: Create and manage project budgets, track expenditures and allocate resources effectively to ensure projects run smoothly. Ensure AI initiatives align with business objectives and are delivered on time, within scope and on budget. Continuous learning: Stay up-to-date with emerging AI trends, tools and platforms to ensure project relevance and foster a culture of continuous improvement. Required qualifications, capabilities, and skills Required qualifications, capabilities and skills: 3 or more years of project management experience, with a proven track record of successfully delivering AI/ML projects. Proficient in project planning, risk management and stakeholder management. Deep understanding of (or the ability to learn and master quickly) creative workflows and controls, as well as AI methodologies, data management and ethical considerations related to using AI technologies. Ability to plan and oversee execution of AI/ML-based creative projects from conception to deployment, including setting timelines, setting and managing key meetings, asset and resource mgmt., reporting, etc. Strong understanding of AI/ML concepts, such as natural language processing (NLP), deep learning and data science principles. Understanding of data's role in AI, including data quality, pipelines and data-driven decision-making. Excellent leadership, communication and problem-solving abilities. Must be adaptable, results-oriented and able to manage complex, ambiguous projects. Preferred qualifications, capabilities, and skills Preferred qualifications, capabilities and skills: Experience working with Adobe Workfront. Strong knowledge of Agile and iterative development methodologies. Experience with generative AI tools and platforms (e.g., Adobe Firefly, Google Veo 3) in a workplace capacity. Experience with creative tools like Adobe Creative Suite (Photoshop, Illustrator). Familiarity with creative collaboration workspaces/tools (e.g., Figma). Dimensional Thinking