Pauline H.

In a replatforming context to switch to Headless/Microservice, I supported a Retail leader in both Front & Back operations.

My scope was: Discover & Convert, covering search & searchandising, navigation & categorization, digital merchandising, product recommendations, PLP / PDP, conversion funnels, in a headless e-commerce context (decoupled web / mobile fronts), including e-commerce back-offices, CMS, PIM, search and experimentation engines, as well as continuous optimization of performance and user experience.

My missions:

Delivery: prioritization and management of the Discover & Convert backlog, co-writing functional specifications and user stories, co-facilitating agile rituals (Scrum / SAFe-like), coordination of front-end, back-end, design, data, and QA teams, management of headless integrations and e-commerce back-offices

Discovery: scoping and design of key e-commerce features (search & searchandising, navigation, merchandising, PLP / PDP, recommendations, conversion funnels), business impact-driven management (conversion, CTR, cart, revenue), user testing and A/B testing, close collaboration with e-commerce, marketing, and UX teams

Strategy: construction and management of the Discover & Convert product roadmap for 12 months, alignment with e-commerce and omnichannel strategy, contribution to PI Planning, arbitration of priorities between commercial performance, user experience, technical debt, and headless architecture challenges

Stack & Tools:

Headless e-commerce architecture, web / mobile front (React, Next.js), APIs & micro-services, headless CMS, PIM, search & searchandising engines, product recommendation tools, A/B testing and personalization platforms, e-commerce analytics (GA4, ContentSquare), feature flagging, product discovery tools, Jira / Confluence, Figma

As part of Carrefour's data & AI transformation, I managed two squads dedicated to equipping the Supply, Traceability, and Operations business units in Product mode, with a strong focus on creating business value through data and AI.

Data Platform & Analytics Squad: design and implementation of data solutions (data models, ELT pipelines) for the Supply, Traceability, and Operations business units, in close collaboration with Data Analyst & Data Engineering teams.

Generative AI Squad: development of a Gen AI-based solution for the Supply & Operations business units, in collaboration with a team of Data Scientists.

My missions:

Delivery: prioritization and management of the backlogs for both squads, co-writing functional specifications and user stories, co-facilitating agile rituals (Scrum), coordination of Data Engineering, Data Analytics, and Data Science teams

Discovery: scoping of data & AI use cases with high business impact, design of key features with Supply, Operations, and Traceability users, value-driven management (success metrics, OKR, adoption), management and facilitation of key stakeholders

Strategy: construction and management of the 12-month product roadmap for Data & AI scopes, contribution to PI Planning, alignment with the group's data & AI strategy, arbitration between innovation, data robustness, and operational challenges

Stack & Tools:

Cloud Data Platforms (GCP / AWS / Azure), data lake & data warehouse, ELT pipelines (dbt, Airflow), analytical databases (BigQuery / Snowflake), data visualization & BI tools (Power BI, Tableau), orchestration & APIs, ML & Generative AI environments (Python, notebooks, ML frameworks, LLM & prompt engineering), MLOps tools, data cataloging & governance, Jira / Confluence, product discovery and value-driven management tools

CHANEL launched a significant digital transformation to improve the online and in-store user experience.

To this end, I took charge of a squad (back, front, BA, QA devs) to manage the implementation of key features in the digital journey (including drive-to-store & aftersales) in Product mode.

My missions:

Delivery: Prioritization & backlog management, co-writing functional specifications & user stories, co-facilitating SCRUM agile rituals (SAFE-like)

Discovery: Scoping & design of key features, product impact-driven management (success metrics, OKR), management of key stakeholders (GDS, Regions, Divisions)

Strategy: Roadmapping of my scope for 1 year, participation in PI Planning

Stack & Tools:

E-commerce & omnichannel platforms, CMS (headless / legacy), web & mobile front, APIs & back-end services, drive-to-store tools (store locator, store stock, click & collect), aftersales systems (after-sales service, returns, CRM), personalization & A/B testing tools, analytics & UX (GA, ContentSquare), product discovery tools, Jira / Confluence, Figma