Enterprise AI Program Manager - GenAI, Roadmap & Governance

Epson America Inc.

Los Alamitos (CA)

Hybrid

USD 201,000 - 277,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical, dental, vision,

401K plan with company matching

Educational reimbursement and EAP

Job summary

Epson America, Inc. seeks a Senior Program Manager – Enterprise AI to lead planning, execution, governance and adoption of enterprise AI initiatives.

You will coordinate cross-functional teams across business, technology, data, security, privacy, architecture, and external partners to drive AI opportunities to production with measurable business value. The ideal candidate brings 10+ years of tech program management, experience with enterprise AI and GAI, and a strong track record in delivering

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business Administration, or related field, or equivalent relevant professional experience.
10+ years of technology program/project management experience, including complex enterprise transformation programs.
Experience leading or significantly contributing to an enterprise AI, Generative AI, AI/ML, or advanced technology program.
Experience delivering programs involving enterprise applications, cloud platforms, data, APIs, integrations, or digital transformation.
Working knowledge of LLMs, RAG, AI agents/agentic workflows, prompt engineering, AI/ML lifecycle concepts, and AI governance.
Experience coordinating Responsible AI, security, privacy, legal, compliance, and technology risk requirements.
Strong experience developing roadmaps, business cases, KPIs, executive dashboards, and value-realization measures.
Strong understanding of Agile and iterative product-delivery methodologies.
Excellent stakeholder management, executive communication, facilitation, and vendor-management skills.
Ability to translate technical AI concepts into clear business decisions and outcomes.

Responsibilities

Own the Enterprise AI roadmap, priorities, milestones, dependencies, risks, budgets, and business outcomes.
Establish and manage a structured process for AI use-case intake, evaluation, prioritization, and portfolio management.
Lead AI initiatives from discovery and proof-of-concept through pilot, production deployment, adoption, and continuous improvement.
Coordinate programs across business functions including Sales, Customer Service, Finance, Operations, HR, Marketing, and IT.
Partner with architecture, engineering, data, application, and infrastructure teams to develop realistic delivery plans.
Establish AI governance, stage gates, documentation standards, and delivery processes.
Coordinate Security, Privacy, Legal, Compliance, Responsible AI, and Architecture reviews.
Manage dependencies across enterprise applications, data platforms, APIs, cloud services, AI platforms, and integrations.
Define and track KPIs including adoption, productivity, quality, cycle-time improvement, cost savings, customer impact, and ROI.
Lead executive steering committees, program reviews, prioritization, risk management, and status reporting.