Kering Data, Analytics and Measurement Manager

About Kering

Kering is a global luxury group renowned for nurturing some of the world’s most influential Houses in fashion, leather goods, jewelry, and eyewear, including Gucci, Saint Laurent, Bottega Veneta, Balenciaga, and Boucheron. As an employer, Kering offers a distinctive environment where creative excellence, entrepreneurial spirit, and long-term sustainability converge. The Group empowers its talents to shape the future of luxury through innovation, craftsmanship, and responsible business practices. With an international culture grounded in diversity, inclusion, and shared ambition, Kering provides meaningful career opportunities for professionals seeking to contribute to exceptional brands while advancing a more sustainable and imaginative luxury industry.

Role & Responsibilities

• Contribute to Kering’s Group Marketing Mix Modeling (MMM) program with the MMM lead and Data Science team by preparing and validating media input data, explaining media-specific factors to data scientists, reviewing model outputs from a media perspective, and presenting results to the Houses and regional leadership.
• Translate MMM findings into budget reallocation recommendations and monitor them at each model refresh.
• Help industrialize and scale MMM by co-building technology infrastructure for agile refreshes and spend reallocations.
• Design geo-incrementality tests—including TBR, Trimmed Match, synthetic control, and difference-in-differences—covering market and region selection, test/control design, duration, statistical power, and read-outs on actual sales.
• Maintain and roll out the testing framework so Houses can increasingly run test analyses independently.
• Support and train regional and country teams on measurement, including test design and read-outs, interpretation of MMM results, and applying findings to media plans.
• Challenge platform-reported and site-centric results, including GA4 and platform attribution, using causal measurement.
• Maintain the Group test library of protocols, results, MDE benchmarks, and shared learnings.
• Join media data with CRM and Finance data on GCP to measure new versus existing client acquisition and channel- and market-level CAC, and support margin-based LTV analyses.
• Own the Group media data stack built on Funnel.io, including platform, agency, and partner connectors, data completeness, and access management.
• Define and maintain digital and offline media taxonomies and naming conventions used by the Houses and agency.
• Coordinate with Kering Technology to ensure media data flows correctly into the Group data lake on GCP and can be combined with sales, CRM, and product data.
• Oversee media data quality; day-to-day data cleaning and mapping are delegated to the Data Analyst on the team.
• Serve as the media data contact for the Houses, regional and country teams, and agencies; train them on taxonomies, naming conventions, data access, and analysis tools.
• Evolve the existing stack with the new media agency and media partners towards a future-proof, agile ecosystem.
• Run the media budget forecast process across all Houses through three cycles a year, covering multiple currencies and breakdowns by market, channel, and buying type (agency versus direct).
• Maintain supporting tools—Google Sheets / Apps Script and Excel / Power Automate—and their integration into Funnel.
• Produce and automate Group media quarterly reports.
• Provide media data and KPIs for Group dashboards built with partner teams.
• Contribute data to and support the evolution of the Group Marketing Dashboard in collaboration with its owner.
• Serve as a data contact for adjacent marketing teams on topics combining media with other data sources.
• Support the MMM lead on marketing deep dives by collecting, structuring, and analyzing non-media data used in MMM and tests, including event and fashion show calendars, talent and influencer activations, PR and earned media, organic social, and brand search demand.
• Rationalize and standardize suppliers and KPIs for Paid, Owned, and Earned across the Group, and serve as the key partner contact for matters such as negotiating contracts, scope, and social listening tool reports.
• Own and manage the Group advertising and martech stack, building it with the agency and partners’ stacks and continuing to evolve 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 platforms, including Google, Meta, and TikTok.
• Co-build the Media AI roadmap by connecting Kering media data—including MMM, competitive intelligence, and dashboards—to agency and platform AI tools through MCP, with clear business rules and guardrails.

Qualifications

• At least 8–10 years in media analytics or marketing measurement within an advertiser, media agency, consultancy, or platform.
• Hands-on experience with Marketing Mix Modeling and geo-incrementality testing, from design through read-out and recommendations.
• Experience owning a media data stack, including connectors, taxonomies, and data quality, in a multi-brand, multi-market environment.
• Luxury, fashion, or premium retail experience is a plus.
• Strong SQL; Python or R for analysis and test read-outs.
• Solid understanding of causal inference and experimental design, including power, MDE, test/control design, synthetic control, and difference-in-differences.
• Working knowledge of GCP (BigQuery), Funnel.io or an equivalent platform, and a BI tool such as Looker Studio, Power BI, or Tableau.
• Good knowledge of the ad tech ecosystem, including Google Marketing Platform, GTM, server-side tagging, pixels and Conversions APIs, and GA4.
• Ability to automate with Google Sheets / Apps Script and Excel / Power Automate.
• Familiarity with media and marketing tools, including social listening.
• Interest in generative AI and agentic tools applied to marketing data, including MCP and LLM-based assistants.
• Rigorous, structured, and autonomous, with the ability to manage several recurring projects and cycles in parallel.
• Able to explain complex measurement results simply and turn them into budget decisions for senior marketing leaders.
• Rigorous and pragmatic, with sound judgment about when a result is robust enough to act on.
• Enjoys coaching and upskilling non-specialist teams in data, analytics, and measurement.
• Strong relationship-building skills with the Houses, regional and country teams, agencies, and technology teams; able to constructively challenge platform and agency figures.
• Fluent in English and French; Italian is a plus.

Skills

Experience

At least 8–10 years in media analytics or marketing measurement; hands-on Marketing Mix Modeling and geo-incrementality testing experience, and experience owning a media data stack in a multi-brand, multi-market environment.

Culture

Kering fosters a dynamic, purpose-driven culture where creativity, entrepreneurship, and collaboration support the distinct identities of its luxury Houses. As an employer, the Group places strong emphasis on sustainability, diversity, and talent development, encouraging people to innovate responsibly while contributing to the future of modern luxury.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.