AI Content Transformation Lead-Executive Director

We’re seeking a highly innovative AI transformation leader for content and creatives. Your mission is to modernize and automate end-to-end content production across all channels—examples include paid media, owned channel ads, and email—by embedding JPMC Responsible AI into every stage from brief to activation. You will own the program strategy and roadmap, drive pragmatic use case prioritization, and operate a hybrid hub-and-spoke model with LOB champions to scale marketer self-service using AI tools and templates (e.g., GenStudio, Express for personalization).

As an AI Content Transformation Lead on the Marketing Transformation team, you will lead innovation sprints and rapid prototyping to incubate 0-to-1 capabilities and scale proven pilots. Partnering closely with Product and Technology, you’ll align solutions with our martech stack (DAM, CMS, marketing automation, ad platforms) while leveraging foundational assets, metadata, and standards in collaboration with the Foundational Content Transformation team. You will define AI evaluation frameworks (including red-teaming, human-in-the-loop, and online/offline testing), establish quality and risk metrics (precision/recall, content safety scores), and implement controls, fallback paths, and auditability aligned to JPMC Responsible AI. You will report to the Head of AI and Content Transformation for JPMC Marketing. You should thrive in a high-pressure environment, influence across a cross-matrix organization, and translate complex AI concepts into clear business value.

Job 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.
• Orchestrate end-to-end production workflows, automate steps, and ensure compliance, quality, and consistency.

Required qualifications, capabilities, and skills

• 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 qualifications, capabilities and skills

• 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.