Jing Wu

AI Product Manager | Engineering + Product @ Accenture | Data Science @ UC Berkeley

San Francisco Bay Area

About

With 3 years of professional experience as a technical consultant and 4 years of experience delivering data pipelines and ETL processes in Amazon Web Services. I specialize in Cloud Computing, Data Intensive System Design, and Big Data Modeling. I am always passionate about exploring the Product Strategy Framework and technical program management. I look forward to connecting with you and sharing great thoughts! Feel free to connect with me via LinkedIn message or [email protected] Skills: Python, SQL, Java, Git, Visio, JIRA, AWS Cloud Proven experience of utilizing AWS Skills: S3, EMR, StepFunctions, AWS Athena, AWS Lambda Function, AWS Glue, SageMaker

Experience

  • Accenture (Mountain View, California, United States · Hybrid)
    • Technical Consultant
      Jun 2024 - Nov 2025 · 1 yr 6 mos

      • Drove performance improvements in internal data pipelines by analyzing 5 critical pipelines, identifying bottlenecks, and delivering optimizations that generated $411.9K in annual client savings. • Ensured stability of pipelines supporting 34+ on-call teams by resolving 10–20 daily failures with a <24-hour turnaround, minimizing downtime. • Partnered with Meta Data Engineers and on-call teams to accelerate resolution of blocker pipelines, establishing a 24-hour triage process and 3-day POC check-ins to reduce downtime and improve response consistency. • Designed and integrated internal databases to automate audit workflows and reduce compliance risk across data systems. • Developed comprehensive unit tests for Meta’s build infrastructure, increasing CI/CD reliability and detecting integration issues earlier in the pipeline.

    • Technical Consultant
      Jan 2024 - Jun 2024 · 6 mos

      • Designed cloud-based ETL data transformation solutions across 8+ databases, optimizing data processing speeds by over 20%. • Designed and implemented a scalable data transfer and ETL pipeline in AWS, validating 100% data accuracy post-transfer through comprehensive testing and verification. • Developed and automated AWS-based data ingestion workflows using S3, Glue, EMR, and Athena, reducing data transfer operational costs by 80%. • Collaborated with a cross-functional team (Technical PMs, PMs, and engineers to align data strategy with business goals.

    • Business Strategy Consultant
      Aug 2023 - Dec 2023 · 5 mos

      • Led end-to-end business process analysis from scratch across 10+ client departments, partnering with director-level stakeholders to uncover inefficiencies and propose automation solutions. • Designed streamlined workflows in Microsoft Visio to reduce cross-departmental redundancies and support scalable operations. • Presented strategic process improvements to D-level executives, accelerating decision-making and laying the foundation for automation initiatives.

  • Strategy and Operations Lead at Think Academy U.S
    Nov 2022 - May 2023 · 7 mos

    • Developed and executed online and in-person marketing strategies for the project, with in-person events attracting 10–15 prospects per session and converting 10–15% into paying users. • Achieved 100% retention for existing students and 40% new user growth within 3 months through combined in-person outreach and remote market expansion. • Built online communities and habit-forming activities for new users in high-potential San Francisco Bay Area and Texas markets, attracting 100–150 potential users in 2 weeks. • Integrated existing students into new initiatives to increase engagement and loyalty, while continuously iterating strategies based on data-driven insights.

  • Instructor at University of California, Berkeley
    Aug 2021 - Dec 2021 · 5 mos

    • Facilitator and Mentor for IEOR 198: Decode Silicon Valley Startup Success • Served as a facilitator and mentor for a business course, leading 15 business seminars for 120+ UC Berkeley students. • Guiding students through the fundamentals of entrepreneurship and early-stage startups. • Designed 10+ hands-on projects and assignments to help students build practical skills and develop portfolio-ready work for launching or joining a startup.

  • Data Science Intern at Amazon Web Services (AWS)
    Jun 2020 - Aug 2020 · 3 mos

    AWS Professional Services Team