Chau Shyang Chng

About

Interested in data and tech, curious about career possibilities. Website: cshyang.com

Experience

• Lead Data Product Manager · BioMark10-01-2022 – 12-01-2023

  At BioMark, I spearheaded the fusion of data engineering, business intelligence, and product analytics to drive innovation in health-tech. I built the data team from the ground up, introducing a cutting-edge tech stack and leveraging AI for actionable health insights. Initiated and led the data team, establishing data engineering, business intelligence, and product analytics from scratch. Spearheaded the integration of a modern data stack (Snowflake, DBT, Airbyte, Prefect), enhancing data usability and insight extraction. Developed an AI-driven prototype for health report extraction and summarization using a Language Model-powered Retrieval-augmented Generation (RAG) system, innovative health data extraction and analysis. Implemented a comprehensive events tracking plan to analyze consumer and business interactions with the digital platform. Identified and addressed key performance gaps, boosting engagement and satisfaction. Designed and delivered corporate health summary reports and population health analyses for B2B clients, providing invaluable insights for decision-making and health strategy development.

• AI Product Manager · MoneyLion07-01-2021 – 10-01-2022

  As an AI Product Manager at MoneyLion, I spearheaded the integration of fintech products with data science, enabling informed, data-driven decision-making across the organization. My role was crucial in marrying technology with strategy to enhance product offerings and optimize user engagement. Strategized and Led AI Initiatives: Directed the AI and data science functions within MoneyLions Financial Marketplace and Content Feed, crafting an AI strategy that aligns seamlessly with our strategic vision. My leadership ensured that product development was innovative and perfectly aligned with our long-term goals. Drove Data-Driven Product Development: Initiated and guided hypothesis-driven development, implementing rigorous A/B testing to validate product improvements. My collaboration with data scientists laid the groundwork for robust statistical analyses, optimizing product features and user interactions based on consumers' data. Managed Product Backlog and Stakeholder Communications: Efficiently prioritized product backlogs, balancing innovation with practical implementation. Regular updates and outcome reporting to stakeholders and business units ensured transparency and alignment across the company. Launched Transformative Product Recommendation Engine: Spearheaded the development and launch of an AI-powered product recommendation engine. This initiative significantly enhanced user experience, leading to increased engagement and a noticeable uplift in revenue.

• Market Analytics, Lead MY · Grab01-01-2019 – 12-01-2020

  Advanced Analytics: Developed multi-touch attribution models, RFM, and promotion impact analysis framework to optimize marketing efforts. Process Optimization: Created and standardized a Campaign Analysis Standard Operating Procedure (SOP), which automated the campaign analysis process. This innovation reduced time and operational effort by 70%. Reporting and Dashboard Development: Designed and built user-centric reports and dashboards using Tableau, Holistic.io, and other advanced data tools, enhancing decision-making across the team. Strategic Collaboration: Translated complex data findings into actionable insights, collaborating closely with vertical leads (GrabFood, GrabPay, GrabCar) to ensure alignment and overarching business objectives.

• Digital & Analytics Consultant · Artefact07-01-2017 – 11-01-2018

  Artefact is a global data-driven services company specializing in consulting for data transformation and digital & data marketing. My responsibilities in Artefact: Data & Web Analytics: Global Tag Management: Spearheaded the deployment of Google Tag Manager, managing website tagging projects across 40+ websites in 8 countries, enhancing global data collection and tracking capabilities. Machine Learning and SQL Initiatives: Took charge of ad-hoc projects involving Machine Learning and SQL, identifying patterns and efficiencies that led to actionable business insights and data-driven hypotheses development. Dashboard & Automation: Reporting Efficiency: Cut team reporting time by 50% through the development of automated dashboards that streamlined data processes, utilizing Supermetrics and Google Data Studio to enhance data accessibility and utility. Dashboard Development: Engineered comprehensive dashboards that provided holistic views of business metrics and KPIs, enabling stakeholders to make informed strategic decisions quickly. Project Management & Media Buying: Cross-Channel Campaign Management: Orchestrated and executed multi-platform digital marketing campaigns across Google, Facebook, Instagram, LinkedIn, Yahoo Japan, and Naver, driving leads and conversions for global and regional clients. Strategic Media Oversight: Ensured optimal campaign performance by managing budgets, strategic planning, and media allocations effectively; designed detailed media plans and revised advertising expenditures alongside monthly, quarterly, and yearly KPI forecasts.

• Digital Media Analyst · Persuasion Technologies Sdn Bhd08-01-2015 – 07-01-2017

  Project Management: Developed and executed project plans, procedures, and sets measurable campaigns KPI. Establishes close relationships with clients and ensured KPIs achievement in a timely manner. Developed digital strategies and business/campaign funnels. Media Buying: Monitored and optimized marketing campaigns across various platforms (Facebook, Instagram, Google Adwords, LinkedIn). Reduced campaigns CPL/CPA by 30% using data-driven optimization tactics (A/B testing landing pages, audience targeting, ad copies, campaign optimization methods, and attribution models). Analytics & Reporting: Identified actionable insights and business funnels through digital campaigns, Google Analytics audits, and SEO audits. Executed CRM clustering and segmentation analysis.

Education

• Universiti Tunku Abdul Rahman (UTAR)Bachelor of Actuarial Science, Risk Management
• Heng Ee High SchoolScience Field

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