Data Leader
E.ON Next
Total years of experience :24 years, 2 Months
Part of the leadership team, evangelising the business driven culture inside EON Next.
Key Achievements:
▪ Successfully present and deploy a Data Strategy Roadmap approved by the C-suite.
▪ Successfully present the ‘to be’ data cloud base architecture (AWS) and the roadmap in order
to leverage precise insight at scale.
▪ Data Evangelist across the business to improve data quality and data governance.
▪ Leading and mentoring the data community with an agile way of working and putting the
value and efficiency in the centre of any data related work.
▪ Build the first AI/ML projects regarding forecasting the number of calls (time-series) which
improve the capacity planning
▪ Grow the team from 5 to 44 data professionals in 2 years
Build the first fully automated investment platform on the blockchains governed by AI. Direct the development of the artificial intelligence product and implementation of dynamic business plans, overseeing financial and accounting systems. Manage cross-functional team of technological innovative members, guiding the design of cutting-edge MVP product iterations. Establish communication and marketing strategies across various platforms, including social media based on data-driven views.
Key Achievements:
• Successfully built first AI on top of the block chain called AIEve. Develops the data product and strategy by building data roadmap. Building an efficient Machine Learning and Deep Learning architecture.
• Spearheaded project to complete AI and Big Data architecture in the Cloud (Google/Big Query), developing retargeting marketing with a funnel conversion via Google Tag Manager and Google Analytics.
• Conduct the business development of the Data product by building the elevation pitch, one page teaser, pitch deck. Conduct partnerships with key startups/companies in the market.
• Ensure the business complies with all relevant data-related legislation (GDPR). Build awareness documentation and meetings to train the team on the data protection laws.
Coordinated with leadership and subject matter experts to effectively bridge the gap between business values and data science, enabling better insight into future planning. Defined data strategy, incorporated cutting-edge technologies, to successfully reach Big Data capabilities (from SQL Server/PowerBI to AWS cloud) and increase the data literacy by providing data club sessions and data products such as 360 customer view or segmentation of one. Supporting C-level strategy by working closely with the CMO, CIO, CFO and the COO. Led a team of 29 data engineers and data scientists with mentoring and training (P&L Management of £2M).
Key Achievements:
• Led the data analytics transformation across the company by implementing new data products like Customer View, Profitability, Churn which led the marketing improvement in term of retention and acquisition channel. Implemented a Data Governance framework with Data Quality policies.
• Built a framework to decrease the costs of data tasks and prioritise the value creation: achieved a yearly 200% ROI by collaborated efficiently with key business leaders.
• Led the Data Scientist team which achieve significant results on Customer Retention (churn ML prediction), Reducing Operational Cost (mood prediction by using email communication), Marketing (Segmentation based on Profitability), Customer Services efficiency and trading improvements.
Designed innovative Big Data Strategy, connecting business values to data analytics to propel business. Collaborated with leadership and technology experts to establish data-driven applications, implementing within commercials and marketing strategies to enhance business prospects. Led cross-functional teams of 20 employees, managing skills, providing career mentorship, and overseeing professional performance. Conduct financial management functions, including ensuring accurate budget implementation and maintenance of € 2M.
Key Achievements:
• Led BI transformation for Netezza and DataStage to Hadoop - HDFS/Hive/Impala which impact of reducing the cost of the IT. Implemented statistical analysis with SAS on Hive/Impala.
• Successfully established and implemented Big Data architecture Hadoop/Cloudera to meet all new business requirements. Implemented a Data Lineage with a state-of-the-art of Data Modeling and Data Architecture.
Designed energetic business plan, incorporating Big Data, BI Agile, Mobile BI, and Performance Management to enhance sales pipelines with new and existing clients. Conducted marketing and publication activities, identifying and implementing new methodologies to meet business requirements. Managed cross-functional employees, completing annual reviews, mentoring individuals, and conducting recruitment actions. Led HR, Audit, and BI agile projects for AXA projects, managing budgets and implementing recommendations to meet all business expectations.
French Engineer Diploma in Computer Sciences