Responsibilities :

- Partner with leaders within the Industrialization team to define the team roadmap and drive impact by providing strategic and technical input, including platform evolution and new capability development.

- Communicate value delivered through industrialized AI/ML assets to end user functions and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and Tas.

- Partner with the Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate.

- Partner with the Platforms team on continuous development and end-to-end capability integration between OOB platforms and internal engineered components.

- Lead the advancement of at-scale industrialized AI and data science capabilities and industrialized asset products.

- Own vision and maintain a holistic and consistent roadmap for industrialized asset products.

- Participate in the development of the product and service roadmaps for Generative AI products. Serve as product owner on Generative AI projects that deliver on the product roadmaps and mature the product and service offering across the enterprise.

- Provide the voice of the user as the product owner on agile product development teams to maximize the value and impact of industrialized asset products.

- Drive adoption of products through enterprise-wide user community engagement (e. g training sessions, knowledge sharing, etc. ).

- Develop and maintain business-facing assets documentation/communication for industrialized asset products (e. g., value proposition, catalog, and adoption metrics).

- Define, monitor, and achieve product success and value metrics.

- Coordinate with other product and digital teams to ensure industrialized asset products fully enable and are integrated into the end-to-end data science, analytics, and AI service delivery ecosystem.