Content Foundation Transformation Specialist -Vice President
Listed on 2026-01-10
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IT/Tech
Data Analyst, Digital Media / Production, Digital Marketing
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 work streams across metadata/taxonomy, auto‑tagging, semantic search, content fragmentation, rights and compliance, and workflow automation.
Jobresponsibilities
- Partner with the Foundational Content Transformation Lead to convert vision into quarterly roadmaps, OKRs, and phased delivery plans; drive execution across multiple work streams.
- 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.
- 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.
- 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…
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