KERING Data, Analytics & Measurement Manager

Kering is a global, family-led luxury group, home to people whose passion and expertise nurture creative Houses across couture and ready-to-wear, leather goods, jewelry, eyewear and beauty: Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni, Boucheron, Pomellato, Dodo, Qeelin, Ginori 1735, as well as Kering Eyewear. Inspired by their creative heritage, Kering Houses design and craft exceptional products and experiences that reflect the Group’s commitment to excellence, sustainability and culture. This vision is expressed in our signature: Creativity is our Legacy.

In 2025, Kering employed 44,000 people and generated revenue of €14.7 billion.

Your Opportunity The Data, Analytics & Measurement Manager makes Kering's media investment measurable, comparable and actionable across all Houses. The role owns the Group media data foundations and incrementality testing, contributes to Marketing Mix Modeling alongside the MMM lead, and supports turning results into budget decisions. Sitting within the Marketing Effectiveness team, the role acts as the bridge between the Media & Marketing teams, CRM, Technology and Finance.

Working hand in hand with the Houses, the regional teams and the agencies, it builds and scales best-in-class data, analytics and measurement capabilities across HQ and the regions. It also shapes how Kering connects its media data to agency and platform tools, setting up a future-proof stack.

How you will contribute Media measurement & effectiveness Contribute to the group Marketing Mix Modeling program, in collaboration with the MMM lead and the Data Science team: prepare and provide the media input data, and check its consistency; explain media specificities to the data scientists; review model outputs from a media standpoint; build and present the results decks to Houses and regional leadership. Translate MMM learnings into budget reallocation recommendations, and follow up on them at each refresh.

Contribute to the industrialization & scaling of the MMM, co-building a solid tech infrastructure allowing agile refreshes and spend reallocations Design and set up geo-incrementality tests (TBR, Trimmed Match, synthetic control, difference-in-differences): market and region selection, test/control design, duration and power, and read-outs on actual sales. Maintain and roll out the testing framework so that Houses can increasingly run test analyses on their own.

Support and upskill the regional and country teams on measurement: test design and read-outs, interpretation of MMM results, and how to use them in their media plans. Challenge platform-reported and site-centric results (GA4, platform attribution) with causal measurement. Maintain the Group test library: protocols, results, MDE benchmarks and learnings, shared across Houses. Join media data with CRM and Finance data on GCP to measure new vs existing client acquisition, CAC by channel and market, and feed margin-based LTV analyses.

Media data foundations & governance Own the group media data stack built on Funnel.io: connectors to platforms, agency and partners, data completeness and access management. Define and maintain the digital and offline media taxonomies and the naming conventions used by the Houses and the agency. Ensure media data flows correctly into the group data lake on GCP, in coordination with Kering Technology, so it can be combined with sales, CRM and product data. Supervise data quality; the day-to-day cleaning and mapping work is delegated to the team’s Data Analyst.

Act as the media data point of contact for the Houses, the regional and country teams, and the agencies, and train them on the taxonomies, naming conventions, data access and analysis tools. Evolve the current stack along with the new media agency & media partners towards a future proof agile ecosystem Media investment tracking, Reporting & insights Run the media budget forecast process across all Houses, 3 cycles a year: multi-currency, split by market, channel and buying type (agency vs. direct).

• Maintain the supporting tools (Google Sheets / Apps Script, Excel / Power Automate) and their integration into Funnel.
• Produce and automate the group media Quarterly Reports.
• Provide the media data and KPIs behind group dashboards built with partner teams.

Cross-functional marketing data Contribute to the data and the evolution of the group Marketing Dashboard, in collaboration with the dashboard owner. Act as a data point of contact for adjacent marketing teams on topics that combine media with other data sources. Support MMM lead in marketing deep dives, such as collecting, structuring, analyzing non-media data used in MMM and tests: events and fashion shows calendar, talent and influencer activations, PR and earned media, organic social and brand search demand.

Ensure suppliers & KPIs rationalization & uniformization for Paid Owned Earned across the group, and be the key point of contact for those partners (negotiate contracts, scope & reports for social listening tools, etc) Martech, partners & AI Own and manage the group ad & martech stack: build it together with the agency and partners’ stacks, and keep evolving it. Own the group’s media and ad tech tools: Google Marketing Platform (including licence management and annual rebilling to the Houses), Google Tag Manager, server-side tagging, and platform pixels and Conversions APIs.

Act as the measurement and data counterpart for the media agency and the platforms (Google, Meta, TikTok) Co build the Media AI roadmap: connecting Kering media data (MMM, competitive intelligence, dashboards) to agency and platform AI tools through MCP, with clear business rules and guardrails.

Who you are Experience Minimum 8-10 years in media analytics / marketing measurement, in an advertiser, a media agency, consultancy or a platform. Hands-on experience with Marketing Mix Modeling and geo-incrementality testing, from design to read-out and recommendations. Experience owning a media data stack (connectors, taxonomies, data quality) in a multi-brand, multi-market environment. Luxury, fashion or premium retail experience is a plus. Technical skills Strong SQL; Python or R for analysis and test read-outs.

Solid grasp of causal inference and experimental design: power, MDE, test/control design, synthetic control, difference-in-differences. Working knowledge of GCP (BigQuery), Funnel.io or equivalent, and a BI tool (Looker Studio, Power BI or Tableau). Good knowledge of the ad tech ecosystem: Google Marketing Platform, GTM, server-side tagging, pixels and Conversions APIs, GA4. Comfortable automating with Google Sheets / Apps Script and Excel / Power Automate.

Familiar with media & marketing tools landscape including social listening Curiosity for generative AI and agentic tools applied to marketing data (MCP, LLM-based assistants). undefined Soft skills Rigorous with data, structured and autonomous, able to run several recurring projects & cycles in parallel.Able to explain complex measurement results simply and turn them into budget decisions for senior marketing leaders.Rigorous and pragmatic: knows when a result is robust enough to act on.

Enjoys coaching and upskilling non-specialist teams on data, analytics and measurement.Strong relationship builder with the Houses, regional and country teams, agencies and tech teams; able to challenge platform and agency figures constructively.Fluent English & French, Italian is a plus.

Kering is committed to diversity and inclusion and to providing equal opportunities in employment. We believe diversity in all its forms

• disability, age, color, ancestry, sex, national origin, sexual orientation, age, citizenship, marital status, gender identity, religion
• enriches the workplace. It opens opportunities for people to express their talent, both individually and collectively and it helps foster our ability to adapt to a changing world. As an Equal Opportunity Employer, we welcome and consider applications from all qualified candidates, regardless of their background.

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