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Executive Director - Technical Program Manager | Corporate Technology | Document Platform Management

Job in Jersey City, Hudson County, New Jersey, 07308, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management
Job Description & How to Apply Below
Navigate complex tech landscapes and shape firmwide impact through strategic leadership and tech expertise in a dynamic financial services environment.

As an Executive Director - Technical Program Manager role within Document Platform Engineering, you will shape and deliver a multi-workstream transformation across ingestion, ECM/storage, search, workflow/orchestration, and records/retention, while turning AI/ML and GenAI opportunities into scalable, production-ready capabilities.

This is an opportunity to lead with enterprise influence-bringing disciplined execution, budget ownership, architectural judgment, and executive-level communication to align senior stakeholders, manage risk and dependencies, and deliver measurable outcomes with strong governance and financial transparency.

** Job responsibilities*
* +  Define and execute program strategy and roadmaps for AI-enabled document platforms, aligned to firmwide priorities, outcomes, funding, and capacity.

+  Lead multi-workstream delivery across ingestion, ECM/storage, search, workflow/orchestration, records/retention, and AI-enabled document capabilities.

+  Translate business and user needs into clear engineering requirements, partnering with architects and technology teams to manage dependencies and deliver scalable platform solutions.

+  Drive AI/ML execution from use-case definition and data strategy through deployment, monitoring, and measurable value realization.

+  Run executive-ready governance across milestones, dependencies, risks, KPIs/OKRs, decisions, and management reporting.

+  Own program financials, including annual planning, forecasting, spend tracking, vendor costs, variance management, and benefits reporting.

+  Manage risks across delivery, architecture, resiliency, security, third-party, controls, and AI/model governance.

+  Influence senior stakeholders and cross-functional partners to drive alignment, timely decisions, and effective execution.

+  Use feedback, adoption insights, and production learnings to prioritize improvements, enable change readiness, and measure usage, value, and outcomes.

+  Improve operating mechanisms, reporting, and delivery practices to reduce friction, increase productivity, and accelerate issue resolution.

+  Provide thought leadership on responsible AI adoption and platform modernization across the document ecosystem.

** Required qualifications, capabilities, and skills*
* + 15+ years of experience, or equivalent expertise, leading complex technology programs in large-scale enterprises.

+ Proven delivery experience across document management, content platforms, AI-enabled workflow, search, classification, and records/retention capabilities.

+ Strong technical and architectural fluency across solution design, APIs/integrations, data flows, resiliency, scalability, and platform trade-offs.

+ Working knowledge of AI/ML delivery, including data strategy, model lifecycle, deployment patterns, MLOps, and value measurement.

+ Architecture background or equivalent experience partnering with architects to shape roadmaps, evaluate options, and drive enterprise platform decisions.

+ Track record of delivering on time and within budget, with transparent governance over scope, funding, resources, risks, and outcomes.

+  Executive presence, stakeholder influence, and strong analytical judgment, with the ability to align senior leaders around priorities and convert ambiguity into clear plans and executable outcomes.

** Preferred qualifications, capabilities, and skills*
* + Experience delivering GenAI-enabled document capabilities, including intelligent processing, summarization, RAG, document Q&A, and automated routing.

+ Familiarity with AI governance, model risk considerations, traceability, monitoring, evaluation, and responsible AI practices.

+

Experience with content repositories, ECM platforms, workflow engines, search/indexing, data pipelines, and enterprise integration patterns.

+ Strong financial and resource management discipline across budgeting, forecasting, spend governance, and value tracking.

+ Experience operating in controlled environments with SDLC discipline, change management, operational readiness, and…
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