Maya Azouri

As a Data & Internal tools Product Manager at Electra, I lead the development of data products that empower internal teams (ops, finance, marketing, strategy, etc.) and drive business performance ( 3 software engineers, 2 data analysts/ Scientist, 1 Analytics engineer) : A few examples of Products I worked on : - Prediction tool built fully internally to forecast the demand for a futur site location Revenue gain estimated YoY : 1millions euros -Leading the discovery to understand what product to build for our operations to scale maintenance intervention and how to lean towards predictive maintenance - Co-led the initiative with our product team to re-build our customer knowledge base : Product Metric tree, Clustering of our customer with product activations - Led the AI adoption stream kick-off at Electra Strategy definition, Use case detection beyond Generative AI, Up-skilling Since January, I am also the product manager for the technology team, helping them scale and build a product appropach on tech topics ( 8 Staff engineers) - DevEX for our engineers - Infra & Architecture topics : CI/CD - Business Technology topics : Energy platform, from CPO to EMSP...

As a Product Manager in the Recommendation & Ranking Tribe, I am dedicated to building the vision and strategy for our ranking systems, leveraging the power of AI to enhance user experience and drive business growth. My role involves revamping our ranking system, ensuring it aligns with cutting-edge technological advancements and meets our users' needs. Additionally, I spearhead data-related initiatives, including acculturation programs, to foster a data-driven culture within our organization. My goal is to ensure our teams are well-equipped to utilize data. effectively, driving informed decision-making and innovation.

In the data team, I am the product Owner for Data solution on the Demand side ( AKA B2C) my role & responsibilities include : - co-building the vision & roadmap of the domain with domain leads - Collecting and translating business needs into solutions - Prioritizing needs within the Demand Domain - Delivering solutions in line with business needs, data quality and data management best practices using an agile methodology. - Coordinating teams and maximizing the delivery of the various teams working on those solutions ( Team members include Data Scientists, Data Analysts, BI Engineers) - Ensuring a high level of SLAs and evolutivity of the solutions

Recruitement : -Understanding and transcribing client's requests : Writting down proposals -Sourcing of digital experts in several sectors : tourism / transport, retail, medias, agencies ( Social media, jobboards...) -Participation in the recruitment process HR consultancy Projects : Retail : - Sectoriel benchmark in order to suggest a new organisation for in a digital transformation context Working in an international context with international clients

As a Research officer in the department Transition Management of the consulting agency specialized in direct approach recruitment: Lincoln Transition Executives, I have different responsibilities. - Understanding and transcribing clients' requests - Looking for applicants (top and middle managers) who fit the required profile (executive search, headhunting, sourcing)
 - Identifying and qualifying applicants
 - Supporting the consultant during interviews - Following the entire process Transverse project: -Working on developing awarness towards innovation and innovation management within the company

( Mckenzie is a consultancy firm, part of the UHY global members) -Feasibility Studies - Conduct consulting projects in HR for our clients and the draft of relevant manuals to address the issues Exemples of projects : Private education sector : - Audit of the group and subsidiaries HR functions ( Process, tools, market benchmark for compensations & benefits ) -Audit of the high turnover rate ( market analysis with the competitors on the market, expatriate packages reevaluations...) - Suggestions to reorganise processes : Reporting, HR policy manuals, introduction of a new HRIS