I
Chief Data Officer
Bravernel Retail
Mar 2020 — Present
- Sector
- Household and personal-care retail
- Ownership
- Private retailer; founder family 57% and institutional investors 43%
- Company scale
- EUR 4.8 billion company revenue in 2025
- Employees
- 18900 company employees at October 2026
- Geography
- Paris headquarters; 580 stores in France, Belgium and Portugal
- Reporting to
- Chief Executive Officer
- Team
- 112 data colleagues through six direct reports at October 2026
- Financial scope
- EUR 16.2 million delegated 2026 function expense; retail operations, financial reporting, infrastructure and cybersecurity separately led
Mandate
Keep transaction meaning and observation conditions visible in data used for retail decisions.
Outcomes
- Released separate order-cohort and event-calendar views in December 2023, retaining the returns cutoff.
- Kept 140 missing stock observations distinct within the 2021 pilot instead of treating every zero-sale day as demonstrated weak demand.
- Withheld an all-catalogue preference claim from the 2025 recommendation replay because exposure constrained what had been observed.
Decisions in context
The current role brings together questions that arise in different parts of the retailer but share a need for a defensible account of evidence. I lead the data function, not the commercial decisions made from every report. Returns timing required a relationship between two operational views; the stock pilot required missingness to remain visible; recommendation evaluation required the history of exposure to stay attached to the observations. Those are different problems, and I want the team to explain the distinction before offering a common reporting solution. Executive presentations to the board began with this appointment. They do not create statutory-director experience, and the record contains no such seat. My expense delegation funds the data work. Finance, merchandising, store operations and technology owners retain their own responsibilities, so the company’s scale should not be mistaken for a personal claim to all of its systems or results.
Reason for the move
Appointed CDO following commercial-analytics leadership; current position.
II
Director of commercial analytics
Bravernel Retail
Sept 2014 — Feb 2020
- Sector
- Retail commercial analysis and trading information
- Ownership
- Private family-founded retail group
- Company scale
- EUR 2.9 billion company revenue in 2019
- Employees
- 11800 company employees in 2019
- Geography
- France, Belgium and Portugal; 360 stores in 2019
- Reporting to
- Chief Data Officer
- Team
- 62 commercial-data colleagues through five direct reports in 2019
- Financial scope
- EUR 7.8 million annual function expense in 2019; prices, merchandising and official financial reporting remained elsewhere
Mandate
Explain the basis of comparisons used in trading discussions without allowing a convenient adjustment to imply complete comparability.
Outcomes
- Challenged the 2017 like-for-like label applied to EUR 156 million over 13 weeks versus EUR 144 million over 12 weeks.
- Retained full-period totals alongside explicitly defined comparison views.
- Supported EUR 1.8 million reconstruction without presenting a weekly division as a complete answer to perimeter and trading differences.
Decisions in context
This appointment moved my attention from the construction of a report to the claim it made in a trading conversation. The thirteen-week comparison was arithmetically simple and interpretively difficult. A total increase could be correct without establishing comparable performance. Dividing by the number of weeks supplied another view, but it did not eliminate every difference in the business being compared. I wanted the team to keep the transformation and its purpose visible rather than let the most convenient number become the only account. Commercial colleagues needed concise material, so the response had to improve explanation without requiring every meeting to reconstruct the analysis. Finance retained official reporting authority. The director title described my employment role; it was not a board appointment. This period prepared me to examine how a data conclusion travels between functions and acquires more certainty than its original definition supports.
Reason for the move
Promoted to CDO as the remit expanded from commercial analysis to the retailer’s wider data evidence.
III
Head of retail data
Bravernel Retail
Jul 2007 — Aug 2014
- Sector
- Retail transaction and stock information
- Ownership
- Private founder-led retailer
- Company scale
- EUR 1.35 billion company revenue in 2013
- Employees
- 6500 company employees in 2013
- Geography
- France and Belgium; 180 stores in 2013
- Reporting to
- Director responsible for commercial analytics
- Team
- 28 retail-data colleagues through four direct reports in 2013
- Financial scope
- EUR 2.6 million annual data expense in 2013; no authority over warehouse movements, stock purchasing or accounting policy
Mandate
Maintain intelligible retail definitions as source records become recurring operating reports.
Outcomes
- Accepted responsibility for the 2009 report adding 4200 cartons and 5400 single items as 9600 units.
- Reconciled the documented twelve-item cartons to 55800 physical items while retaining the original handling account.
- Supported EUR 360000 review and reprocessing without claiming recovered inventory or additional sales.
Decisions in context
Joining the retailer meant living with definitions after the original project had ended. A report might become familiar enough that no one asked again what its unit represented. That familiarity contributed to the warehouse-transfer error I approved. Luc Tervalon’s challenge showed that the records and the interpretation needed to be examined separately: a count of handling units could be legitimate while the physical-item claim I endorsed was wrong. I wanted the correction to preserve both accounts so another reader could understand the conversion instead of simply accept a replacement total. My team owned review and reprocessing, while logistics colleagues retained the actual movement of goods. The experience made me more attentive to apparently ordinary words in a report. It also changed how I described success: correcting the evidence was consequential, but it did not entitle me to claim an operating benefit the record had not measured.
Reason for the move
Advanced to commercial-analytics leadership after responsibility for recurring retail data and its interpretation.
IV
Engagement Lead
Orelvane Analytics
Apr 2000 — Jun 2007
- Sector
- Applied commercial analysis and statistical research
- Ownership
- Private analytical advisory firm
- Company scale
- EUR 26 million company fee revenue in 2006
- Employees
- 145 company employees in 2006
- Geography
- France; client assignments for consumer and retail organisations
- Reporting to
- Director of analytical delivery
- Team
- 16 assignment colleagues through three direct reports in 2006
- Financial scope
- EUR 740000 annual delivery expense in 2006; client operating decisions remained with client management
Mandate
Lead assignments whose conclusions retain their observational basis when reused in client reporting.
Outcomes
- Required the analytical question and the source observation to remain connected in delivered findings.
- Explained where a summary depended on a transformation rather than a direct observation.
- Sought an in-house role to remain responsible for definitions as they became part of routine retail work.
Decisions in context
Leading assignments required me to make the analytical work useful to people who would not inspect every source record. I wanted a clear explanation of what the finding meant and what change in circumstances would alter that meaning. The difficulty was often what happened after delivery. A definition carefully discussed once could be shortened as the report circulated, until the client used the measure for a question it had not been designed to answer. I could improve the handover, but I was increasingly interested in staying with that continuing responsibility. My delegated expense covered delivery of the assignments rather than the client’s business decisions. The move into retail was therefore a change in accountability as well as employer: I would help maintain the evidence over time and would have to respond when a familiar internal report acquired an interpretation I could no longer defend.
Reason for the move
Joined Bravernel to follow data definitions through continuing use inside one retail institution.
V
Statistical Analyst
Orelvane Analytics
Aug 1993 — Mar 2000
- Sector
- Statistical analysis of commercial observations
- Ownership
- Private research and advisory company
- Company scale
- EUR 8.4 million company fee revenue in 1999
- Employees
- 60 company employees in 1999
- Geography
- France; research delivered from Paris
- Reporting to
- Engagement lead
- Team
- Individual contributor in a nine-person analytical group
- Financial scope
- No independent expenditure delegation or line-management responsibility
Mandate
Trace analytical findings to the records and definitions that determine their meaning.
Outcomes
- Checked whether quantities combined in a calculation shared a definition.
- Distinguished the question a dataset could answer from the broader question a reader might assume it answered.
- Developed an interest in the continuing use of analytical measures after a research assignment.
Decisions in context
I joined after applied-statistics study and worked on the less visible part of an analytical account: understanding what each observation represented before combining it with others. The calculations could be elegant while the source meaning was unsettled. I learned to ask who had recorded the event, at what stage and for which purpose, then consider how those conditions shaped the conclusion. My role was an individual contribution within a nine-person group, with senior colleagues responsible for delivery commitments and expense. The later scale of Bravernel does not belong to this period. What carried forward was an interest in the gap between the event and the measure presented to management. That interest did not prevent my later carton mistake, but it gave me a way to explain the failure and reconstruct the account when a colleague challenged the familiar unit label.
Reason for the move
Promoted to engagement leadership after developing analytical delivery and client-explanation experience.
What I am looking for next
I would like to contribute where a retail institution needs to understand why two apparently straightforward measures tell different stories. The issue might concern the time assigned to an event, a missing observation, a comparison period or the selection that made behaviour observable. My experience could help a board or senior team ask a more precise question and understand the answer’s limits. It would complement the commercial and professional owners who decide what to do, rather than give the data function authority over every conclusion drawn from its work.
For a first statutory appointment I would need preparation for collective responsibilities and the particular institution’s circumstances. Twenty-four annual days would be an initial indication, conditional on employer permission, induction and actual workload. I would disclose relevant retail, supplier, technology and advisory relationships before suitability was assessed. The invented record describes no existing seat or available professional service. A real next chapter would require verified appointments and permission to use evidence, with enough willingness to learn that an earlier reporting experience does not become a ready-made answer to a different company’s problem.