Responsibilities

• Own the AI-driven content production strategy and roadmap from brief to activation across all channels.
• Prioritize use cases using a scoring model; plan pilots, scale-up, and drive continuous improvement.
• Design and run a hybrid hub-and-spoke operating model with LOB champions, roles, workflows, and guardrails.
• Enable marketer self-service with AI tools and templates; standardize prompts and best practices.
• Lead innovation sprints and rapid prototyping; scale successful pilots into enterprise AI solutions.
• Embed Responsible AI in workflows, ensuring safety, privacy, bias testing, transparency, and auditability.
• Establish AI evaluation frameworks, including testing, red-teaming, hallucination mitigation, and human review.
• Define and monitor AI quality and risk metrics; implement controls, fallback paths, and regular reviews.
• Lead vendor and consultant engagements, overseeing solution evaluation, delivery governance, and performance.
• Partner with Product and Technology to align solutions with DAM, CMS, and martech platforms.

Requirements

• 10+ years in content operations, transformation, or program leadership within marketing or martech, with proven enterprise delivery.
• Highly innovative mindset with a track record of 0-to-1 product/solution incubation, rapid prototyping, and scaling AI capabilities.
• Practical experience applying AI to content production and marketer self-service: prompt engineering, templating, variant generation, guardrailed personalization.
• Hands-on familiarity with LLMOps/MLOps practices: evaluation harnesses, monitoring, drift detection, data pipelines, and human-in-the-loop workflows.
• Working knowledge of multimodal AI (text, image, video), computer vision/OCR for quality checks, and automated accessibility compliance.
• Experience with retrieval and orchestration patterns (e.g., RAG, tool use/agents, workflow automation) aligned to JPMC Responsible AI standards.
• Expert change management and stakeholder communications in a cross-matrix organization; executive presence and persuasive storytelling.
• Comfortable operating in ambiguity and high-pressure environments; creative, structured problem-solver with a bias to action.
• Collaboration with Product and Technology to align solutions with DAM, CMS, marketing automation, and ad platforms.
• Proficient in agile delivery and collaboration tools (e.g., Jira, Confluence, Microsoft Teams).

Preferred

• Implementation of AI-enabled tools for content creation and personalization (e.g., GenStudio, Express or comparable) at enterprise scale.
• Experience with experimentation platforms and A/B testing for content performance and workflow optimizations.
• Knowledge of brand standards, rights/licensing, accessibility, privacy-by-design, and audit requirements in content operations.
• Vendor/consultant management for martech and AI solutions; experience establishing SLAs and delivery governance.
• Familiarity with vector retrieval, embeddings, and semantic search leveraged within production workflows.