About us: Flutter, the world’s largest online sports betting and iGaming group listed on the London and New York stock exchanges, is home to the Southern Europe & Africa (SEA) region, featuring iconic brands like Sisal, Snai and PokerStars, a globally loved brand that embodies innovation and ambition, with significant growth potential in a dynamic market. What you’ll do:
- You will join the Central function of Generosity within the Online Operations department;- You will be involved in defining a central generosity strategy, with particular focus on quantitative methodologies, setting corporate standards and best practices for a data driven decision making validation framework relating to generosity measurement and optimization- You will functionally coordinate a team of 2 qualified people;- You will be accountable as a high level top advisor in your functional area of expertise: you will be responsible for the quality of the team's outputs and for meeting deadlines and deliverables;- As main tasks and activities you will oversee, you will:
- Define the Overall generosity strategy creating a new paradigm of Data Driven Decision Making, setting up a KPI validation framework, key processes and tools across all brands and countries, to enable a real “Model driven generosity”- Define and setup an inferential statistics validation model for correct and significant measurement of uplift, marketing ROI and incremental financials due to generosity- Identify Key Metrics in line with strategic goals defining measurement process guidelines and strategic data requirements for reporting tools-
- Monitor trends, exploring literature,



events and third party offerings to identify best practices and most effective quantitative methodologies- Collaborate with Product - Martech teams to define key requisites and evaluation criteria for Martech solutions- Acts as Flutter SEA key member for Flutter group Community of practices and best practice sharing on Generosity and Model Driven Generosity areas What you’ll bring:
- at least 5 years of experience in similar technical role, with proven knowledge and expertise in data driven quantitative optimization processes and methodologies;- Strong analytical mindset with a proven track record in performance monitoring, such as for example A-B Testing, uplift driven marketing strategy optimization and inferential BI;- Excellent knowledge of Microsoft Office, ideally proficient in other statistical optimization and BI measurement tools such as Python or Power BI;- Knowledge and experience of applied inferential statistics considered a plus;- proficiency in English and Italian, both spoken and written;- a proactive, flexible, collaborative and communicative approach;- knowledge of how to manage people and how to work in team;- knowledge of how to organize and plan activities in order to achieve your targets;- previous participation in marketing strategy or BI projects in the Operations / Online area Why choose us:
- The opportunity to make a difference and partake in corporate level strategic decisions;- Challenging work environment and tasks with the possibility of taking up a central advisory role, not only on a local level but also possibly across Flutter-wide level working groups;- Permanent allocation;- Meal Allowance;- Supplemental Health Insurance;- The option to join our company share saving scheme; Choose us also for:
- An inclusive work environment and participate in all our initiatives focused on Diversity & Inclusion;- Well-Being Support: online meditation courses, medical online service and counselling with the help of certified psychologists and coaches;- Learning and Development: access a platform full of training courses, join workshops, conferences. Exploit our FlexiLearning program, which allows you to dedicate at least 4 working hours per month for your professional growth;- Parental Leave Packages: additional support for you, children and financial aid for mothers;- Volunteering during your working hours. Equal Opportunity

📌 Generosity Methodology Manager (Milano)
🏢 Sisal
📍 Milano