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Chase · 1 month ago

Content Foundation Transformation – Executive Director

450 W 33rd St, New York, NY, 10001, US

Full-time

Onsite

Senior Level, Lead/Staff

$171K/yr - $260K/yr

10+ years exp

Chase is a leading financial services firm, and they are seeking an Executive Director for Content Foundation Transformation. This role involves developing a centralized strategy for foundational content and assets, leveraging AI to enhance content operations and compliance across various business lines.

BankingFinancial Services

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

Qualification

AI/ML applicationsContent management platformsProgram delivery experienceMetadata standardsTaxonomy designAgile practicesAnalytical abilitiesStakeholder influenceCollaboration toolsCreative problem-solving

Required

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

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