Hi D***ri, I’m J***ne, an HR recruiter at StrategyBrain. I came across your profile and was impressed by your entrepreneurial leadership as CEO at u***y, your 14-year tenure as VP Europe at I***s, and your 25 years driving digital product innovation and expansion. We’re partnering with T***e G***l in Paris to find a Chief Digital & Innovation Officer,someone who can define and execute global digital strategy, lead product development, and drive M&A and strategic partnerships. Would you be open to a brief conversation to explore this opportunity? Best regards, J***ne

Hi D***ri, Great to hear you’re interested. At T***e G***l, the Chief Digital & Innovation Officer will be laser-focused on: 1. Crafting and executing a unified global digital roadmap that accelerates product innovation and market expansion across Europe and beyond. 2. Leading cross-functional squads through the full product lifecycle,from ideation and rapid prototyping to launch, scaling, and optimization. 3. Driving M&A deals, strategic funding rounds, and high-impact partnerships to fuel inorganic growth and new-market entry. 4. Elevating consumer engagement and e-commerce performance through data-driven marketing, social media and online-advertising strategies. 5. Mentoring senior leaders, fostering an entrepreneurial culture, and ensuring business development objectives align with broader corporate goals. Would you be available for a 30-minute call next week? Here are a few slots (CEST): - Tuesday, May 14th at 14:00 - Wednesday, May 15th at 11:00 - Thursday, May 16th at 16:00 Let me know which works best, or feel free to suggest another time. Looking forward to our conversation! Best regards, J***ne

Hi D***ri, Thanks for confirming Tuesday, May 14th at 14:00 CEST,I’ve sent a calendar invite. To give you a clearer picture of T***e G***l and the Chief Digital & Innovation Officer role: 1. Company & Culture T***e G***l is a rapidly expanding digital marketing and e-commerce platform headquartered in Paris. We partner with leading global brands to deliver product-centric digital solutions. Our entrepreneurial, collaborative culture is built around cross-functional teamwork and a bias for continuous innovation. 2. How We Tackle Your Key Challenges - Unified Global Digital Roadmap: You’ll own the end-to-end strategy, working with product, engineering, marketing and regional leads to break down silos and ensure a seamless path from ideation through prototyping to market launch. - Cross-Functional Squads Alignment: You’ll implement agile workflows, set clear KPIs, and lead regular squad syncs to eliminate bottlenecks and accelerate time-to-value. 3. Core Responsibilities - Define and execute our global digital strategy to drive product innovation and market expansion across Europe and beyond. - Lead and mentor cross-functional teams through the entire product lifecycle, from rapid prototyping to scaling. - Orchestrate M&A activities, strategic funding rounds, and high-impact partnerships to accelerate growth. - Optimize consumer engagement and e-commerce performance via data-driven marketing, social media, and online-advertising strategies. - Coach senior leaders, foster an entrepreneurial mindset, and align business development initiatives with broader corporate objectives. 4. Impact, Growth & Support - As a member of the executive leadership team, you’ll directly influence our long-term roadmap and global expansion plans. - You’ll have dedicated resources in analytics, data science, product and marketing, plus a budget for new technology pilots. - We offer a competitive compensation package, performance bonuses, and equity options to reward your contributions. I believe this role directly addresses the gaps you mentioned at u***y. Let me know if there’s anything you’d like me to clarify beforehand. Looking forward to our conversation! Best regards, J***ne HR Recruiter, StrategyBrain (for T***e G***l)

Hi D***ri, Great questions,here’s a high-level view of how we’re organized today: 1. Reporting & Leadership - You’ll sit on the Executive Leadership Team and report directly to our CEO. - Your direct reports will be the Heads of Product, Engineering, Analytics & Data Science, and Digital Growth & Marketing. 2. Team Size & Structure - We run 4,5 agile, cross-functional squads (each with a product manager, UX/UI, developers, QA, a growth marketer and an embedded data analyst). That’s roughly 25,35 people today, organized by region or vertical. - In parallel you’ll oversee the central shared services: product ops, platform engineering, and our Analytics & Insights CoE. 3. Analytics & Data-Science Model - Center of Excellence (8,10 data engineers, senior data scientists, BI analysts) builds our core data platform, advanced models and standardized dashboards. - Embedded “data translators” live in each prototyping squad to run real-time experiments, A/B tests and KPI tracking during ideation and launch. - This hybrid setup gives you on-demand analytics support for rapid prototyping, while ensuring consistency, governance and scalability across markets. I hope this paints a clear picture of how you’d lead and leverage our analytics engine. Let me know if you’d like to drill into any aspect before our call. Best, J***ne

Hi D***ri, Glad you asked,here’s a recent example that illustrates how our Analytics & Insights CoE and embedded data translators work in concert, while preserving squad autonomy: 1. Recent Prototype: Dynamic Offer Personalization - Squad Goal: Test two personalized coupon engines (rule-based vs. ML-driven) to lift conversion on our e-commerce widget. - Embedded Translator Role: Partnered with the Product Manager and UX lead from day one to define success metrics (e.g. click-through rate, AOV) and set up instrumentation in our staging environment. 2. CoE Partnership - Pre-Launch: The CoE provided the statistical framework,sample-size calculators, standardized dashboards, baseline benchmarks,and approved the test plan within 24 hours. - Data Pipeline: CoE data engineers built a sandboxed data feed so the squad’s translator could pull real-time results without impacting the global data warehouse. - Quality Checks: Senior data scientists from the CoE ran parallel validations on key metrics to ensure data consistency across regions. 3. Balancing Speed & Governance - Lightweight Gate Process: Squads submit a one-page A/B test brief (hypothesis, variants, metrics) to a shared Slack channel. The CoE commits to a rapid 4-hour review,just enough to catch statistical flaws but not stall momentum. - Autonomy with Guardrails: Within those guidelines, the embedded translator owns test execution,tweaking variants, spinning up new segments,while the CoE oversees model drift, p-value thresholds, and post-test learnings. - Weekly Sync & Retrospective: Every Friday, the translator, CoE lead and squad PO run a 30-minute standup to surface insights, share anomalies, and decide whether to scale the winning variant or iterate further. Outcome: Using this model, the squad delivered a 12% uplift in conversion in three weeks, and we now have a reusable blueprint for future personalization experiments. Happy to dive deeper on any of these steps during our call,let me know if there’s a specific element you’d like to explore further. Best, J***ne

Hi D***ri, Great questions,here’s a high-level view of how we power instrumentation, enforce consistency, and roll out winners at scale: 1. Tooling & Data Stack - Event instrumentation via a centralized tracking layer (we use Segment + Snowplow) that feeds into a Kafka/Kinesis stream. - Raw events land in an S3-backed data lake and are ingested into our Redshift warehouse. - dbt manages our transformation and metrics layer (all key KPIs live as version-controlled models), while Airflow orchestrates pipelines. - For sandbox feeds, squads get ephemeral Redshift schemas and a dedicated Kafka topic, so experiments run against the same schemas and schema versions as prod. 2. Ensuring Metric Consistency - Single source of truth: every metric is defined in dbt, published in Looker (our BI tool), and versioned in git. - CI/CD validations run on staging builds,automated checks verify event counts, null rates, schema drift, and metric parity against baseline prod. - Before promoting a test, the CoE runs a lightweight audit (parallel queries on staging vs. prod tables) to certify that naming conventions, filters, and attribution windows align exactly. 3. Rolling Out Winning Variants - We manage feature flags centrally with LaunchDarkly. Once a variant wins, squads toggle the flag in regional environments,no code redeploy required. - We use a phased approach: start with one region, monitor real-time KPIs via embedded dashboards, then automatically ramp to additional geos once thresholds are met. - Local squads retain autonomy to pause or rollback within their region, but the CoE’s global monitoring ensures alignment and prevents version sprawl. Happy to unpack any of these components in more detail on our call. Looking forward to diving deeper on Tuesday at 14:00 CEST! Best, J***ne