Lisbon Metropolitan Area
I am an AI Transformation and Enablement Leader with extensive international experience driving practical AI adoption across complex, multicultural organizations. Known for aligning business and technology stakeholders, improving ways of working, and enabling teams to move from experimentation to sustainable, value-driven execution. A data-driven, people-centric leader who accelerates digital transformation through clarity, structure, and hands-on enablement.
• Leading the AI transformation across Siemens Energy’s global Communications function. • Driving AI adoption, workforce readiness, and agentic AI innovation within Enterprise Communications. • Shaping the AI‑First strategy and accelerating AI‑enabled workflows across the Communications organization. • Transforming how Communications operates through AI, Agentic AI, and scalable capability building.
Lead enterprise AI adoption and enablement initiatives, focusing on practical transformation of how teams work with data and AI across a complex, global organization. • Adoption Measurement & Insight: Built and deployed an AI adoption framework for 127 employees and 2 business units, providing clear visibility into usage, maturity, and impact to guide prioritization. • Enablement & Capability Building: Delivered AI enablement through training, hackathons, and workshops. Early adopters reported ~20% time savings on tasks like email drafting, meeting summaries, and documentation. • AI Product & Business Impact Translation: Translated adoption insights into actionable product improvements and investment roadmaps across two business areas.
Led a multidisciplinary AI and analytics team, supporting business functions in developing and scaling data and AI-driven solutions, while strengthening alignment between business needs and technical delivery • Solution Delivery & Business Impact: Led development of 4 AI/analytics solutions from concept to production, delivering operational value with business stakeholders. • Cross-Functional Leadership: Built and led a data science and engineering team; ran AI discovery workshops with senior stakeholders to drive prioritization and adoption. • Operational Efficiency: Designed data-driven solutions for service scheduling, sales support, and GenAI capability, achieving ~5% NCC reduction.
Led enterprise AI strategy and customer success engagements, guiding executive and cross-functional teams through AI use-case discovery, enablement, and scaling from pilot to production • AI Use-Case Discovery: Led engagements for 5+ enterprise clients (H&M, Ericsson, Vestas, etc.), identifying 20+ high-impact AI use cases and framing business value. • Leadership Enablement: Delivered executive briefings and decision workshops, reducing time from ideation to production by ~30–35%. • Adoption & Scaling: Built cross-functional teams to move AI initiatives from pilot to production, implementing scalable MLOps practices. • Value Realization: Defined success metrics and linked AI outcomes to business processes, driving automation and efficiency gains.
Led Data Science & AI strategy and delivery, enabling data-driven decision-making and measurable business impact across global clients. • Data Science Leadership: Built and scaled the Data Science practice, defining vision, operating model, and product proposition while managing a team of 7 data scientists. • Advanced Analytics & ML: Delivered end-to-end analytics solutions (descriptive to prescriptive), including CLV & churn prediction, multi-touch attribution, and NLP-driven campaign personalization. • Business Impact & Insights: Translated complex data into actionable insights through executive dashboards and marketing performance frameworks across multiple platforms. • Platform & Data Quality: Partnered with data engineers to resolve DWH, performance, and data quality issues, ensuring scalable and reliable analytics. • Client Transformation: Supported enterprise clients (Henkel, KLM, Basic-Fit, Eneco) in executing data-driven transformation roadmaps aligned with business outcomes.
(ii) Senior Data Science Manager, Marketing Programs, Brand and Advertising (July 2017 - November 2019) • AI-Enabled Marketing Transformation: Advised Marketing Leadership on building a scalable, data- and AI-driven marketing operating model to drive brand awareness, precision targeting, and optimized budget allocation. • Growth & AI Enablement: Led the application of AI and advanced analytics to power content optimization, personalization, customer lifetime value and churn prediction, and multi-touch campaign optimization—turning marketing data into growth levers. • Leadership & Execution: Built and led the Data Science team, translating AI capabilities into executive-level insights and performance dashboards across the marketing ecosystem (Adobe, Marketo, Google).
(i) Senior Applied Analytics Manager for Asia-Pacific and Japan (June 2015 - July 2017) • Global Analytics & AI Leadership: Built and led an Applied Analytics team across Asia-Pacific & Japan, partnering with C-level and Marketing Leadership to embed data- and AI-driven decision-making into growth strategy. • AI-Driven Growth & Strategy Enablement: Translated complex business and customer data into actionable strategies, shaping marketing direction, audience targeting, and investment decisions through advanced analytics and AI models. • Scalable Tools & Adoption: Delivered data-driven tools and AI-enabled models (GDPR audience intelligence, A/B testing, NLP-based email optimization) and enabled end-users to confidently use insights to improve campaign performance.
Primary focus was on digital enablement and creating value through technology. Led an offshore development team (data engineers and back-end developers). The ability to transform business needs into technical requirements was vital, acting as bridge between business and technology. • Created an actionable digital enablement strategy in collaboration with the Marketing Directors, with dashboards, reports, advanced analysis to maximize ROI of marketing activities. • Provided data science thought leadership and built buy-in across the senior stakeholder network for new product/strategy ideas and data findings.