Senior Manager, Enterprise AI Programs

TITLE Senior Manager, Enterprise AI Programs
DEPARTMENT Operations
DIVISION NP Digital Global
LOCATION Remote - US

ABOUT OUR COMPANY

NP Digital (NPD) is a global award-winning performance marketing agency. AdAge named us Performance Marketing Agency of Year, Campaign Magazine labeled us the Global Agency of the Year in two categories, and The Drum awarded us the Agency Business Award for Global Development. Google recently handed us the Agency Excellence Award for Media Unification and both Inc. and AdAge listed us on their Best Places to Work lists.

NP Digital combines proprietary platforms with best-in-class talent to deliver leading edge experiences centered around: paid and organic search, social, content, retargeting, performance display, feed management and conversion rate optimization.

NP Digital focuses on creating innovative, adaptive, and data-driven digital marketing plans for our clients. Obsessed with helping companies grow and exceed their goals, NP Digital delivers on the mission of continually helping brands connect and engage with their audience.

ABOUT THE OPPORTUNITY

The Senior Manager, Enterprise AI Programs will lead the operating model for enterprise AI adoption, with direct oversight of AI platform evaluation, technical fit, integrations, enterprise knowledge use cases, data architecture considerations, AI security, vendor capabilities, and responsible deployment. This role owns the intake, assessment, roadmap, licensing, enablement, and cross-functional execution processes that determine how AI tools and use cases move from request to approved enterprise use. Working across Operations, IT, Legal, Finance, Procurement, and business teams, the Senior Manager will ensure AI investments are technically sound, scalable, secure, measurable, and aligned with business priorities, client expectations, and enterprise risk requirements.

This is a newly created role to support our growing team. To qualify, candidates must reside and be eligible to work in the US.

ABOUT THE RESPONSIBILITIES

Enterprise AI Program Strategy and Oversight

• Own and continuously improve the enterprise AI operating model, including intake workflows, review criteria, documentation standards, technical assessment practices, usage guidance, and responsible adoption controls.
• Define decision points, ownership maps, escalation paths, and use case review workflows that evaluate technical feasibility, security, scalability, operational impact, and enterprise risk considerations.
• Coordinate the AI review body by preparing agendas, materials, decision records, follow-up actions, and status reporting.
• Maintain the enterprise AI portfolio roadmap, including approved platforms, prioritized use cases, vendors, owners, risks, controls, dependencies, and implementation milestones.
• Monitor AI program trends, industry practices, client expectations, and emerging business needs, and coordinate with Legal on regulatory, contractual, audit, due diligence, or policy developments that may affect program direction.

Platform Review, Approval, and Enterprise Tool Alignment

• Lead intake, review, approval, and renewal activities for AI tools and platforms, including generative AI, automation, AI agents, coding assistants, vibe coding tools, and embedded AI capabilities.
• Assess AI platforms with IT, Legal, and Finance for model capabilities, API maturity, integration approach, data architecture impact, enterprise knowledge strategy, security posture, data protection, scalability, cost, business value, and strategic fit.
• Maintain clear lists of approved, conditionally approved, and prohibited AI tools to reduce duplication, spend, and inconsistent usage.
• Help align teams on preferred AI platforms, usage standards, access levels, approved use cases, and program priorities.
• Evaluate vendor claims, roadmaps, model architecture, API and integration options, agentic workflows, RAG capabilities, enterprise knowledge features, data handling practices, contract provisions, and client-facing implications before adoption or expansion.

AI-Assisted Development and Vibe-Coding Oversight

• Establish oversight practices for AI-assisted development, including vibe coding, AI-generated code, low-code/no-code applications, automations, and employee-created workflows.
• Determine with IT, Legal, and business leaders when AI-generated code, applications, agents, or automations require architecture r…