Responsibilities:

• Define, Align, Own and execute Hotel Engine Business Operations AI roadmap.

• Define independent view of machine learning problem spaces for Business Ops that must leverage frontier Machine learning, and Data Analytics.

• Partner with stakeholders across finance, sales, marketing, Human resources to define problem spaces that have ML/AI as their potential solution space.

• Identify best in class Partners as AI solution partners, drive technical POCs, define joint roadmaps and contribute to commercial negotiations.

• Program manage Rapid POC of Generative and Discriminative ML end points solutions.

• Program manage AI end point onboarding by collaborating with Software Engineering, and Platforms scaling teams.

• Define business operations signals roadmap and collaborate with corporate IT for signals ingestions.

• Own third-party signals/data identification and ingestion strategy. Contribute to Business operations signals/data acquisition strategy and roadmap that are required for ML prototypes and systems build.

• Engage Business leadership on novel Applied AI solutions for Business operations/shared services.

• Represent organization in AI industry forums.

• Stay up to date with industry trends and emerging technologies, metrics/OKR for AI/Tech based Business operations transformation.

Qualifications:

• Bachelors /master’s in computer science, Physics, Math, Stats with demonstrable focus on Machine Learning/AI. MBA is desirable and a strong plus.

• 5+ years of experience in technology transformation consulting – Corporate or Technology consulting firms. AI based transformation consulting desirable.

• Knowledge of Machine learning, Generative AI players

• Hands on working knowledge of new application onboarding, system design and architecture principles, including scalability, security, and performance considerations.

• Excellent communication skills and the ability to empathize with internal users, translating their needs into practical solutions.

• Product Roadmaps experience with external Product /API vendors

• Technical and commercial knowledge of one public cloud-based machine learning infrastructure company – e.g., AWS/GCP!

Attributes:

• Learning Machine. Evolving technologies and industry trends, Conferences, Peers. Learning by Partnering engine.

• Bias for action and impact. Don’t shy to build when buy is not possible.

• Excellent interpersonal & communication skills to rally Business operations teams – finance, Human resources, marketing, comms, IT.

• Balance

  • Business and technical dimensions

  • immediate, mid, long term problem sets

• technical and non-technical stakeholders

• Heavy networker in global AI business community.

• Analytical thinker with a problem-solving mindset.

• Challenger – the why? The why not? Why now? Why not now?

• Team player who can collaborate effectively with cross-functional teams and executive leadership of the company.

• Innovative and adaptable, keeping pace with evolving technologies and industry trends.