Director Product Management, Owner & Operator Portal
Localização: Estados Unidos, Georgia, Atlanta
Endereço: 1 - Corp Atlanta Ravinia, Three Ravinia Drive, suíte 100, 30346
Job number: 169804
The Director, Product Management – Owner & Operator Portal owns the vision, strategy, roadmap and execution for IHG’s AI-enabled Owner & Operator Portal – the single intelligent destination for owners and operators to access services, data and support. The Director leads product delivery across a multi-surface experience environment (web portal, mobile, owner-facing AI agent, notifications and communications), currently built on the Salesforce ecosystem and frontier AI solutions. The Director brings a technology-agnostic perspective – versed in the broader landscape of experience-enabling platforms and AI assistant capabilities – and recommends the best-fit approach for the product. The Director works deeply with cross-functional stakeholders across the owner lifecycle to understand business processes, define value-enabling capabilities and the underlying data model, and leads a team of Business Analysts and a Data Visualization Manager, as well as delivery partners responsible for creating and implementing the product.
Your Day to Day
- Owns and develops the product vision, strategy and roadmap for the Owner & Operator Portal that is scalable across regions, brands and personas, and ensures the use of industry and enterprise technology standards.
- Translates platform direction and frontier AI innovation – across Salesforce (e.g. Agentforce) and the broader market of experience platforms and AI assistants – into business value and serves as a key advisor to stakeholders, providing new research and innovative approaches.
- Accountable for the development of business cases and value-enabling capabilities, with the ability to influence senior leadership, business partners, and cross-functional stakeholders across the owner lifecycle on prioritization and adoption of product capabilities, and drive the solution to completion.
- Research and evaluate, or provide direction to others researching and evaluating, frontier AI solutions, AI assistant capabilities and experience-enabling technologies coming to market – technology agnostic, within and beyond the current platform stack – and their potential application to the portal roadmap and business plans.
- Analyzes business processes and owner/operator journeys from end to end across the multi-surface experience, including the underlying data model, partnering with technology and business colleagues as appropriate.
- Provides guidance and enterprise‐wide influence leading to experiences that are valuable, well engineered, operable, scalable, and delivered on schedule; directs User Acceptance Testing and release readiness.
- Leads a team of Business Analysts and a Data Visualization Manager; advises in decisions regarding delivery partnerships, vendor selection and statements of work.
What We Need from You
Bachelor's or Master's Degree in a relevant field of work or an equivalent combination of education and work related experience.
Typically a minimum of 10+ years of progressive product management experience with demonstrated proficiency leading digital experience products, platform ecosystems and cross-functional delivery teams.
Mastery of product management for experience platforms, technology agnostic across the landscape of experience-enabling and AI assistant capabilities, with deep working expertise in the Salesforce ecosystem and strong knowledge of the capabilities and constraints of the technologies supported.
Expert understanding of multi-surface experience environments (web portal, mobile, AI agent, notifications) and of the business processes, value-enabling capabilities and data models that underpin them.
Champion engineering process disciplines (e.g., Scrum, Agile, Kanban, ITIL).
Champion responsible AI practices and governance (e.g. Einstein Trust Layer usage, responsible‐AI review, data grounding).
Required Skills:
Platform Focused (current stack – Salesforce):
Experience Cloud (owner/operator portals)
Agentforce (agents, topics, actions, guardrails)
Data Cloud (identity resolution, data grounding)
MuleSoft / API-led integration
CRM data models (owner, hotel and account 360)
Flow and platform automation
Security, sharing and access management
Release, environment and DevOps practices
Enterprise Integration Patterns
Knowledge management and personalization
Data Focused:
Data model design and governanc
Data Design Principles and Best Practices
Reporting and Analytics Design Platforms
Data platforms knowledge for data residency decisions (Salesforce Data Cloud, GCP/BigQuery)
BI tools (Tableau, Tableau Next)
Value and adoption analytics
Decision Science Experience, Including Machine Learning, Artificial Intelligence and agentic/LLM solutions
Predictive insights and personalization
Master Data Management Applications
Preferred Skills
- Experience Focused (technology agnostic):
- Multi-surface experience design (web, mobile, AI agent)
- Frontier AI / agentic and AI assistant solutions (e.g. Agentforce, conversational AI platforms, LLM-based assistants)
- Owner and operator self-service
- Knowledge and content experience
- Business process mapping
- Value case development and adoption measurement
- Reporting and Analytics
- Data Focused:
- Hospitality owner and hotel data
Travel 10%
Location - Our hybrid work structure is an exception of three (3) days in the ATLANTA office. This expectation may be adjusted to evolve with the changing needs of the business.
#LI-DH
Quem somos
Não atende a todos os requisitos, mas ainda acredita que seria uma ótima opção para o trabalho? Nunca saberemos, a menos que você clique no botão "Aplicar". Comece sua jornada conosco hoje mesmo.
Informações importantes:
- A faixa salarial listada é da menor para a maior escala salarial que, de boa fé, acreditamos que pagaríamos por essa função no momento desta publicação. Em última análise, podemos pagar mais ou menos do que a faixa publicada, e a faixa pode ser modificada no futuro. A posição salarial de um funcionário dentro da faixa salarial será baseada em vários fatores, incluindo educação, qualificações, certificações, experiência, habilidades, antiguidade, localização geográfica, desempenho, turno, requisitos de viagem, métricas baseadas em vendas ou receita e necessidades comerciais ou organizacionais.
- Nenhum valor de pagamento é considerado salário ou compensação até que seja ganho, adquirido e determinável. O valor e a disponibilidade de qualquer bônus, comissão ou outra forma de compensação atribuível a um funcionário específico permanecem a critério exclusivo da Empresa, a menos que sejam pagos e podem ser modificados a critério exclusivo da Empresa, de acordo com a lei.
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