Riyadh, Saudi Arabia
Senior executive who quickly sees the full puzzle after a few pieces. With my academic background (finance & logistics econometrics), experience and high intelligence I’ve been successful in different industries and in different roles by quickly understanding and improving the various processes, value drivers and challenges. Did that by taking people, processes and systems to the desired levels, with a clear vision, mission and strategy aligned with the relevant stakeholders. My experience in finance, supply chain/operations, ERP, data (governance, compliance, quality & operations), analytics and content management are both on the business side as also the technical/application side, I translate easy between business value and technological solutions and am a people manager facilitating talent development and diversity.
As Director Data & AI at Badael, I am responsible for establishing and scaling the company’s enterprise data, analytics, and artificial intelligence capabilities as a core strategic function. My role spans strategy, architecture, governance, delivery, and organizational design — ensuring that data & AI are embedded into Badael’s operating model and directly support business growth, performance, and innovation. Key responsibilities include: * Defining and executing Badael’s*enterprise Data & AI strategy and roadmap * Designing the end-to-end data & AI operating model, including governance, processes, and organizational structure * Building and leading the Data & AI organization (architecture, analytics, engineering, AI, governance, and product roles) * Establishing scalable data platforms, analytics solutions, and AI capabilities * Translating business objectives into high-impact data products and AI use cases * Driving cross-functional alignment with executive leadership, business units, IT, and external partners * Embedding data-driven decision making and advanced analytics into core business processes * Ensuring strong data governance, quality, security, and compliance The mandate is to transform data & AI into a sustained competitive advantage for Badael — accelerating insight, improving execution, and enabling long-term digital leadership.
Leading data, analytics & AI, from strategy to delivery and support. Transforming the organization to more data driven decision making and applying AI/ML to make the company more effective and efficient. Managing 4 teams: - Master Data Management - Business Intelligence / Business Warehouse & visualization - Data architecture & engineering - Data Governance
As part of the digital transformation team, supporting and running different ML/AI pilots, build the data foundation to enable secure and robust scalability and setup a data literacy program. Managing 4 teams, data foundation, data & AI products, BI/BW and MDM Program management Change management Technical data foundation (platform, ETL/ELT, data model, etc.) Governance (privacy, quality, security and literacy) Analytics / ML&AI
Miele X is the digital hub for Miele, all direct-to-consumer digital channels. Data & Analytics is the fundamental basis for Miele X to deliver. • Built up and run the data, governance and analytics department (35 FTE) for Direct-to-Consumer Digital Channels to facilitate data driven decision making and be a trusted advisor - From 5 to 35 people and growing, valued as a great place to work - Data governance, right people with the right access to qualitative data in a timely fashion, with privacy first/by design (privacy & consent, data literacy and data quality) - Digital data platform (Azure + Databricks) to gather all relevant data sources in one platform - Data collection, like data pipelines, tracking (Google Tag Manager) and data mesh - Analytics (Digital Data Platform + Google Analytics), reports, dashboards (Microsoft Power BI), experimentation (surveys, hotspots + Google Optimize) to support the revenue x10 in 8 years of D2C digital • One of the three leaders in the data board for the cross-functional data ambition within the Miele group – foster a compatible data landscape, data literacy, data community building, self-serve analytics, data governance, data catalogue and the Data/AI hub • Engaging and educating from C-level to operational
SLCP is a NGO Scale-up. The Social & Labor Convergence Program offers the tools and system to measure working conditions in global supply chains. This multi-stakeholder initiative includes data sharing and replaces the need for repetitive social audits.. Lead / Guide the eco-system through the growth phases, tripling in 2021 and doubling in 2022 and formalize the setup of the data insights workstream. Start-up to scale-up -> robust, performing, compliant & secure platform • Technology strategy & execution • Data insights – setup ETL, Data lake, Data pipes, reporting & dashboards • Stakeholder management – partners, the UN, industry organizations & internally
• Established a clear vision and mission for the business unit and the value of master data management and content contributing to 5-7% revenue growth year on year • Build and shaped the data and content management business unit, supporting multiple channels in 26 countries and 18 languages • Senior stakeholder management • Directly managed the P&L and 8 team managers and indirectly 80+ FTE • Domain expert on master data management (MDM) on customer, supplier and product data - data governance, SLAs, data compliance and quality • Domain expert on (product) content, technical enrichment, navigation, make/model, digital asset management, translations and copy writing • Implemented AI/ML within content gathering, processing and translations to further scale and automate the processes • Led and participated in large projects