Content Foundation Transformation - Executive Director Job at J.P. Morgan in New

You will work extensively across all JPMC lines of business (LOBs) and partner with cross-functional teams—including Product Management and Technology/Engineering—to develop a centralized strategy for foundational content and assets. Key responsibilities include designing metadata and taxonomy standards, and implementing AI-enabled processes to improve content re-use, ensure compliance, and accelerate speed to market. This position is ideal for someone who thrives in a collaborative environment and is passionate about leveraging AI to transform content operations. This position reports to the Head of AI and Content Transformation for JPMC Marketing and will work closely with his team to align vision, priorities, and execution. You will collaborate extensively across all JPMC lines of business (LOBs) and cross-functional teams—including Product Management and Technology/Engineering—to architect a centralized approach to foundational content and assets, design metadata and taxonomy standards, and implement AI-enabled processes that enhance re-use, compliance, and speed to market. You thrive in ambiguity and high-pressure environments, bringing creative solutions to complex problems within a cross-matrix organization. Job Responsibilities Own the AI-driven foundational content and DAM strategy, including capability design, operating model, and governance for metadata, taxonomy, rights management, versioning, archival, compliance, and discoverability. Define AI architecture patterns for DAM and content operations, such as embeddings and vector search, OCR/computer vision, NLP/LLM pipelines, retrieval-augmented generation (RAG), and content safety guardrails. Establish new capabilities and centralized content ecosystem practices, including content fragment architecture and reusable component libraries. Lead end-to-end execution from conception to governance, ensuring alignment with business outcomes, dependencies, and stakeholder needs. Collaborate with Product and Technology teams to translate business needs into scalable, integrated AI solutions across martech and creative ecosystems. Build data foundations and feedback loops for AI quality, including labeled metadata standards, human-in-the-loop review, evaluation metrics, and model monitoring. Lead cross-functional squads to define problem statements, opportunity goals, baseline data, measures of success, and business requirements across all JPMC LOBs. Facilitate ideation and alignment across matrixed stakeholders to converge on a single, prioritized approach for complex programs. Ensure strong communication and coordination through project updates and executive summaries, influencing stakeholders at all levels. Drive enterprise change management and adoption through training, playbooks, communities of practice, and ongoing enablement for marketer self-service. Required qualifications, capabilities, and skills 10+ years of related experience (e.g., product ownership, content/DAM leadership, marketing, or program management). Demonstrated end-to-end program delivery experience, including knowledge of best practices, tools, and processes. Proven ability to lead through ambiguity and high-pressure environments typical of large-scale initiatives; define clear paths forward and mobilize teams. Deep practical understanding of AI/ML applications in DAM and content operations: embeddings/vector search, computer vision/OCR, NLP/LLM-based metadata enrichment and content transformation, RAG, model evaluation and monitoring. Strategic thinker with strong analytical abilities; demonstrated initiative, creativity, and structured problem-solving skills. Familiar with auto-tagging and metadata enrichment using computer vision, OCR, and NLP/LLM pipelines. Semantic and facet-based search powered by embeddings and vector retrieval. Near-duplicate and version detection to reduce redundancy and ensure accuracy. Rights, licensing, and compliance checks embedded within workflows and approval gates. Familiarity with agile practices and collaboration tools (e.g., Confluence, Microsoft Teams). Preferred qualifications, capabilities, and skills Experience standing up and operating enterprise DAM and content management platforms (e.g., Adobe Experience Manager Assets or comparable). Knowledge of metadata standards, taxonomy design, rights management, and creative operations/workflows. Experience integrating DAM with martech and creative ecosystems (e.g., CMS, CRM/CDP, marketing automation, creative tools, adtech). Hands-on experience partnering with engineering/data science on AI delivery, including MLOps practices, data pipelines, model lifecycle management, and quality assurance. Executive presence with strong storytelling and stakeholder influence skills across diverse LOBs; ability to translate complex AI concepts into clear business value. #J-18808-Ljbffr