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Design and produce persuasive sales presentations and visuals for legal and sales teams. Collaborate with stakeholders, translate complex ideas into clear slides, iterate on feedback, and uphold brand and learning best practices to help close deals.

Design and implement scalable multimodal data pipelines and preprocessing (OCR/layout normalization), manage labeling and active-learning loops, automate training and inference (feature generation, orchestration, monitoring), and build/optimize serving (multi-model routing, caching, elastic scaling) to support reliable, cost-efficient ML workflows.

Support product team by conducting customer discovery, writing technical user stories and product requirements, analyzing usage data (using SQL), coordinating go-to-market and customer communications, and assisting cross-functional teams to translate customer needs into released product features.

Build and maintain data pipelines on Databricks using Python and PySpark; ingest, transform and enrich data across medallion layers; deliver datasets via APIs and event-driven systems; collaborate with cross-functional teams; participate in code reviews, testing, documentation, and troubleshooting while developing technical skills.

Design and improve NLP and embedding-based retrieval systems for legal search and RAG/LLM quality. Build data pipelines, train and evaluate models, perform feature engineering and error analysis, and collaborate with engineers and AI platform teams to deliver measurable improvements.

Lead APAC data science initiatives: design and implement advanced ML and predictive models, run experiments, ensure data and ETL quality, deploy models, create visualisations and reports, and mentor/lead team members.

Lead testing automation and design scalable, AI-enabled ETL/data pipelines. Architect API, integration, performance testing, ensure data quality/governance, mentor team members, and collaborate cross-functionally to support analytics and AI initiatives.

Develop and deploy NLP and ML solutions to improve search relevance across large news and financial corpora. Build transformer and shallow models, apply LLMs, drive ML pipeline best practices, translate business needs into deliverables, and mentor junior data scientists.

Lead Singapore sales to drive digital subscription and solutions revenue. Build and coach a high-performing B2B sales team, own forecasts/budgets, execute go-to-market strategies and product launches, manage pipeline and conversion, collaborate cross-functionally, and represent the LexisNexis brand to achieve growth and profitability.

Lead and develop a regional enterprise sales team across EMEA & South Asia to drive retention, expansion, and new business. Own forecasting, pipeline quality, deal execution, cross-functional alignment, and executive stakeholder relationships to deliver measurable value and predictable revenue growth.