Sr Product Manager – AI Content Creation, Governance & Operations(Remote Or Hybrid)

About the role

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Responsibilities

• Lead the product roadmap and scaling strategy for the AI Content Creation CoE, with focus on Governance and Operations.
• Own the intake model for AI content creation use cases and facilitate prioritization across business value, feasibility, readiness, and risk.
• Partner with Product Managers across the organization to translate rollout and pilot learning into scalable governance, operational, and readiness practices.
• Align cross-functional stakeholders around decisions, dependencies, risks, and requirements needed to move use cases from concept to production.
• Own and evolve the governance operating model for AI content creation capabilities.
• Run point on cross-functional governance forums with Responsible AI, Legal, Compliance, Risk, and Security to evaluate use cases, clarify requirements, and identify areas requiring additional review.
• Partner closely with Responsible AI to embed responsible AI requirements into use-case reviews, decision points, standards, and playbooks.
• Create repeatable governance playbooks that help teams understand guardrails, approval paths, risk considerations, and launch criteria.
• Own and partner on access, RBAC, permissions, workspaces, token/credit oversight, platform administration, and usage reporting.
• Partner with vendor, technology, security, and admin teams to coordinate platform operations, escalations, and operational dependencies.
• Define monitoring, reporting, and traceability mechanisms to track adoption, consumption, generation activity, audit needs, and value indicators.
• Partner with support and product teams to define escalation paths and issue-resolution practices.

Requirements

• Four-year degree or equivalent experience
• 6+ years of Product Management experience, with demonstrated experience scaling products or capabilities across MarTech, Creative Technology, Content Production, Platform Operations, or Content Capabilities.
• Experience standing up or scaling AI Centers of Excellence, enterprise AI capabilities, governance models, operational processes, or readiness practices across complex organizations.
• Familiarity with different Generative AI model types, multi-model platforms, AI content creation tools, and the operational considerations required to evaluate, govern, and scale them.
• Strong understanding of content creation workflows, marketing technology, creative technology, content production, and enterprise platform adoption.
• Proven ability to bring structure to ambiguity, facilitate decisions, align stakeholders, and translate requirements into scalable product and operational practices.
• Experience partnering with Responsible AI, Legal, Compliance, Risk, Security, Privacy, Creative, Marketing, Product, Tech, Data Science, or vendor teams.
• Experience with access models, permissions, workspaces, usage controls, reporting, support models, or platform administration.
• Strong communication and prioritization skills, with the ability to balance business value, user needs, risk, feasibility, and operational readiness.
• Ability to influence without direct authority and drive progress across highly cross-functional stakeholder groups.

Qualifications

• Preferred experience with creative AI platforms such as Adobe Firefly, Pencil, Gemini Agent Studio, ChatGPT, Vertex AI, or similar solutions.
• Preferred experience with content supply chain, digital asset management, creative workflow, personalization, or campaign activation tools.
• Preferred familiarity with Responsible AI practices, AI governance, content rights, IP, brand safety, or compliance workflows.
• Preferred experience working in retail, marketing, creative, content-heavy, or large matrixed enterprise environments.
• Preferred experience building readiness playbooks, governance frameworks, support models, or super-user communities.