Content Foundation Transformation Specialist -Vice President

JPMorgan Chase • New York, NY

5d

About The Position

This role reports to the Content Foundation Transformation Lead, and collaborates closely with the team, Product Management, Technology, Brand, Legal, Risk, and cross-LOB stakeholders. You thrive in a cross-matrix organization, operate effectively in ambiguity and high-pressure environments, and bring creative, pragmatic solutions that accelerate adoption and measurable value.
As an AI Foundation Transformation Specialist on the Marketing Transformation team, you should be a hands-on, AI-savvy transformation specialist to help build and scale AI-driven foundational content capabilities and a centralized Digital Asset Management (DAM) ecosystem for JPMC Marketing. You will translate strategy into executable roadmaps and deliverables, owning key workstreams across metadata/taxonomy, auto-tagging, semantic search, content fragmentation, rights and compliance, and workflow automation.

Requirements

• 7+ years in transformation, program delivery, or solution leadership for DAM/content platforms, marketing technology, or related domains.
• Well-versed in AI applied to DAM and content operations: embeddings/vector search, NLP/LLM pipelines for metadata enrichment and content transformation, computer vision/OCR, RAG, model evaluation and monitoring.
• Demonstrated success delivering complex, cross-functional initiatives in a large, cross-matrix organization.
• Comfortable operating in ambiguity and high-pressure environments; creative problem-solver who frames options, drives decisions, and executes with urgency.
• Strong analytical skills with structured requirements management and KPI-driven delivery.
• Proficient with agile practices and collaboration tools (e.g., Jira, Confluence, Microsoft Teams).
• Excellent communication, stakeholder management, and storytelling skills across all levels, including senior leaders.

Nice To Haves

• Experience implementing and operating enterprise DAM platforms (e.g., Adobe Experience Manager Assets or comparable) and integrating with CMS, CRM/CDP, marketing automation, creative tools, and adtech.
• Knowledge of metadata standards, taxonomy design, rights and licensing management, and creative operations/workflows.
• Familiarity with MLOps practices: data pipelines, model lifecycle management, evaluation frameworks, and governance.
• Experience with UX research and usability testing for content discovery and workflow tools.
• Vendor management and contract coordination experience for DAM, AI, or martech solutions.

Responsibilities

• Partner with the Foundational Content Transformation Lead to convert vision into quarterly roadmaps, OKRs, and phased delivery plans; drive execution across multiple workstreams.
• Own end-to-end delivery for assigned capabilities (discovery, requirements, solution design, prototyping, testing, rollout, and optimization) with clear acceptance criteria and success metrics.
• Define AI enablement needs with engineering for DAM and content operations: embeddings/vector search, NLP/LLM metadata enrichment, computer vision/OCR, RAG for discovery and reuse.
• Establish data foundations and quality loops: labeling standards, human-in-the-loop review, model evaluation (precision/recall, NDCG), monitoring, drift detection, and feedback capture.
• Drive change management and enterprise adoption: playbooks, training, office hours, communities of practice, onboarding, and ongoing enablement for marketer self-service.
• Measure and report value realization via dashboards: reuse rates, search success, cycle-time reduction, asset discovery time, production cost savings, licensing utilization, compliance exceptions.
• Collaborate deeply with Product and Technology to design scalable integration patterns across martech and creative ecosystems (CMS, CRM/CDP, marketing automation, creative tools, adtech), and run ideation and alignment sessions across matrixed LOB stakeholders; consolidate inputs into prioritized solutions and clear phased delivery plans.
• Support governance routines and controls: metadata and taxonomy councils, rights and licensing guardrails, policy adherence, change control and auditability.
• Execute pilots and phased rollouts across LOBs; manage readiness checklists, migration plans, and incident triage with postmortems and continuous improvement.
• Create compelling communications: executive summaries, status updates, demos, and storytelling that connect AI capabilities to business outcomes.
• Proactively identify risks, dependencies, and blockers; drive resolution with cross-functional partners and escalate as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees