Senior Manager, AI Enablement at TOWNEPLACE SUITES BY MARRIOTT SAN DIEGO AIRPORT LIBERTY STATION

Bethesda, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

174200.0

Posted On

24 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI enablement, Digital transformation, Product operations, Enterprise technology strategy, AI lifecycle management, Use case intake, Responsible AI, Data privacy, Executive communication, Agile methodology, Change management, Stakeholder management, Process improvement, Strategic planning, Cross-functional leadership

Industry

Hospitality

Description

Job Summary: The Sr. Manager, AI Enablement plays a critical role in scaling Marriott’s AI capabilities across the enterprise as AI transitions from a centralized function to an embedded, domain-led capability across Data, Analytics, &AI and Technology teams.. This role designs and operates the enablement systems, intake mechanisms, and adoption frameworks that allow business and technology teams to responsibly and efficiently leverage AI—without creating bottlenecks, duplication, or unmanaged risk. Partnering closely with AI Product, Technology, Data & Analytics leaders, and enterprise functions (Legal, Privacy, HR, Change & Communications), the Senior Manager ensures AI initiatives are easy to access, well-governed, reusable, and measurably valuable This role reports to the Senior Director, AI Strategy & Operations and serves as a key connector translating enterprise AI strategy into practical, scalable ways of working. Job Requirements / Qualifications: * Bachelor’s degree required; advanced degree preferred (MBA, MS in Information Systems, Data Science, Human-Centered Design, or related field). * Minimum 6 years of progressive experience in AI enablement, digital transformation, product operations, platform adoption, or enterprise technology strategy. * Demonstrated experience scaling emerging technologies (AI, automation, analytics, platforms) across large, matrixed enterprises. * Strong understanding of AI lifecycle concepts, including use case intake, experimentation, deployment, adoption, and measurement (hands-on model development not required). * Proven ability to operate effectively across business, technology, legal, privacy, and change functions. * Experience designing and running enablement systems (front doors, intake processes, toolkits, playbooks, training, communities of practice). * Familiarity with Responsible AI principles, data privacy considerations, and risk-aware innovation in enterprise environments. * Strong executive communication and storytelling skills; ability to translate complex AI concepts into clear, action-oriented narratives. * Experience working within Agile and hybrid delivery models; comfort navigating both structured governance and ambiguity. Preferred (But Not Required) * AI product management, platform ops, or design certifications * Hospitality, travel, or consumer-facing digital experience exposure * Prior experience working in a federated or hub-and-spoke AI mode Job Duties / Responsibilities: * Own the day-to-day operation and continuous improvement of the enterprise AI intake (“Front Door”), including triage, routing, and guidance to ensure requests are aligned to strategy, capacity, reuse opportunities, and responsible AI guardrails. * In partnership and collaboration with HR, design, maintain, and evolve the AI Enablement Toolkit—tools, templates, playbooks, training assets, and SOPs—to make it easy for teams across the enterprise to adopt and scale AI responsibly and efficiently. * Operationalize enablement models for agent-based and emerging AI capabilities by clarifying ways of working, onboarding paths, governance touchpoints, and success measures in partnership with product and technology teams. * Lead and activate the AI Community of Practice as an adoption engine, curating reusable patterns, documenting lessons learned, and reducing duplicative or disconnected AI efforts across the organization. * Partner with AI Product, Technology, Delivery Insights & Performance, and enterprise stakeholders (e.g., Legal, Privacy, HR, Change & Communications) to support adoption, track value signals, and continuously refine enablement approaches based on what is working in practice. * Serve as a trusted operational partner to the Senior Director, AI Strategy & Operations, supporting enterprise coordination, leadership forums, and executive readiness—without functioning as a delivery PMO or owning solution execution. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates.  We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. All positions offer a 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts. Benefits are subject to terms and conditions, which may include rules regarding eligibility, enrollment, waiting period, contribution, benefit limits, election changes, benefit exclusions, and others. Click here [https://life.marriott.com/wp-content/uploads/2025/09/benefitsoverviewp_2025edits_8.19.25.pdf] to learn more. Full-time positions also offer coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave and educational assistance. Washington Applicants Only: Employees will accrue paid sick leave, 0.077 PTO balance for every hour worked and be eligible to receive a minimum of 9 holidays annually. Marriott HQ is committed to a hybrid work environment that enables associates to Be connected. Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD; candidates outside of commuting distance to Bethesda, MD will be considered for Remote positions.

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Responsibilities

The Senior Manager will design and operate AI enablement systems, intake mechanisms, and adoption frameworks to scale AI capabilities across the enterprise. They will also lead the AI Community of Practice and partner with cross-functional teams to ensure AI initiatives are well-governed and measurably valuable.