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 review, security review, documentation, testing, approval, or escalation.
- Translate AI development guardrails into practical review standards for employees, citizen developers, and business teams.
- Guide employees on appropriate use of AI coding assistants in accordance with approved enterprise standards and Legal input.
- Track risks from AI-generated software, shadow AI applications, unauthorized automations, and citizen development, and incorporate them into the program roadmap.
Enterprise AI Program Budget, Licensing, and Vendor Management
- Support the enterprise AI program budget, including forecasting, license allocation, renewals, utilization, and cost optimization.
- Identify tool overlap and consolidation opportunities to reduce waste and improve enterprise alignment.
- Support Finance, Procurement, and Legal in assessing pricing, business cases, ROI, contract terms, and vendor performance.
- Track adoption, usage, spend, business value, and impact across approved AI platforms.
- Support negotiation and renewal decisions by providing recommendations on platform value, risk, adoption, and strategic fit.
Enablement, Adoption, and Change Management
- Create and support materials that help employees understand approved AI tools, permitted use cases, responsible use expectations, approval steps, documentation requirements, and program priorities.
- Support leaders in identifying AI opportunities that improve productivity, quality, speed, innovation, and client delivery.
- Advise teams on AI opportunity assessment, pilot design, workflow automation, platform selection, technical dependencies, and implementation readiness.
- Support consistent AI practices while balancing business-unit needs, approved experimentation, and enterprise guidance.
- Build feedback loops to understand adoption barriers, tool effectiveness, emerging needs, and program improvement opportunities.
ABOUT YOU
- 7+ years of experience leading complex cross-functional technology programs or programs in enterprise technology, AI platforms, product operations, technology operations, data governance, or AI governance.
- Prior experience in enablement engineering or software development.
- Demonstrated experience evaluating, implementing, governing, or managing enterprise technology platforms, including AI or machine-learning-enabled tools.
- Strong working knowledge of LLMs and generative AI architecture, including model capabilities, limitations, prompt and context design, enterprise use cases, security implications, and responsible deployment considerations.
- Hands-on experience with AI APIs, plus experience in the technical evaluation, integration, or oversight of AI-enabled services, platforms, automations, agents, or enterprise workflows.
- Experience with agentic systems, retrieval-augmented generation (RAG), enterprise knowledge platforms, data architecture, AI security requirements, and operational controls for responsible deployment.
- Experience supporting budgets, licensing, vendor assessments, renewal decisions, enterprise AI program roadmaps, and cross-functional technology approval processes.
- Proven ability to work with stakeholders across Operations, IT, Legal, Finance, Procurement, Security, and business functions.
- Strong technical communication, documentation, stakeholder leadership, program management, and change management skills.
- Bachelor’s degree in business, technology, information systems, data governance, computer science, or a related field required; advanced degree or relevant certifications preferred.
BONUS POINTS
- Experience in a digital agency, marketing services organization, consulting environment, or other client-service business.
- Familiarity with AI risk, governance, or responsible AI frameworks, such as the NIST AI Risk Management Framework, ISO/IEC 42001, or emerging global AI standards.
- Experience with GRC, vendor management, procurement, technology review, or SaaS administration workflows.
- Ability to translate AI architecture, APIs, integrations, data flows, security requirements, legal considerations, and enterprise risk requirements into clear decisions, standards, and business guidance.
- Experience supporting programs, committees, intake processes, or operating models in a growing or evolving environment.
ABOUT YOUR GROWTH
As an organization we support your growth and development by investing in your learning to advance your career. We believe in empowering you to showcase your knowledge and skills to win together.
ABOUT OUR BENEFITS
We offer a comprehensive and flexible benefits package to all regular, full-time employees. Benefits include but not limited to:
- National Anthem Blue Cross medical plans; EPO, PPO, and HDHP options available
- Flexible paid time off; 16 weeks maternity and 6 weeks paternity leave
- Health Savings Accounts with employer contribution, Healthcare Flexible Spending Accounts, Dependent Care FSA
- Vision and dental coverage
- Employer-paid short-term disability and life and AD&D insurance
- Employer-paid premium subscription to the Calm app
- Employer-paid virtual healthcare support through First Stop Health
- Voluntary pet insurance for your furry family members
- Voluntary accident, hospital indemnity, critical illness, and supplemental life insurance
- New hire technology stipend to set up home office
- Employer-sponsored 401(k) retirement with Roth option
ABOUT THE COMPENSATION
- Base Salary: USD $130,000.00 to $150,000.00; depending on experience and skills
- Discretionary annual bonus: Up to 10% of annual salary
ABOUT OUR CULTURE
We value our best-in-class company culture, which is results-driven, innovative, fast-paced and fun. Our focus is on outcome, not output. We encourage our employees to work with an entrepreneurial spirit while applying a businesslike approach. When you work with great people and leaders that support you, there is no end to what you can accomplish. We celebrate different backgrounds and perspectives from our team members, but one thing we all have in common is a core set of values: Think Big “Think Big” challenges our teams in all aspects of the business. For our clients, it requires that we expand their vision beyond what’s expected, while pushing us to become a committed partner who provides strategic recommendations and measurable outcomes. Own It “Own It” plays a key role in encouraging employee autonomy. We believe owning it inspires employees to build skillsets within their roles and beyond to drive their career where you want. “Own It” highlights ability to make the work yours and deliver creative results. Have Fun “Have Fun” means we enjoy working together and cultivating a great work experience for everyone. Our passion for what we do is visible throughout the organization. Anything we enjoy, we are naturally going to do better, so we make our work something we look forward to, rather than simply something we have to do.
ABOUT OUR PRACTICES
NP Digital takes a human-centric approach to hiring. AI tools may assist with administrative or creative tasks, but all evaluations and decisions are made by our awesome people. NP Digital is an Equal Opportunity Employer, proud of our diversity and inclusive culture! Our goal is to positively impact change through our actions, and we’re committed to equal employment opportunities regardless of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business need.