Develop new 2B services/products aligned with Industry 4.0 framework and Smart Manufacturing technology. Create and champions market-informed data product vision and strategy; Identify the strategic product implications and opportunities. Lead the end-to-end lifecycle of foundational data products, from conception through launch. Strategize and execute on growth initiatives in operating live products and capabilities.

Head of Digital Transformation program for Huawei’s global Internal Audit group: - Drive the strategy, policy, process, data of requirements and capabilities to enable our risk based internal audit approach - Increase end-to-end audit life cycle productivity by building a one-stop portal with integrated audit management system, self-service tools, along with RPA and Process Data Mining technology- Collaborate with company’s Technology and data services leadership across Huawei’s ICT and Consumer divisions to drive the overall data integration strategy- Build and lead a team of senior IT and data analytics professionals to design and deliver digital services continuously

● Launched company’s US division and operation● Researched and analyzed utility industry regarding competition, existing product attributes, and the key trends affecting the future opportunities and threats faced by businesses in the industry.● Defined product specifications by collaborating with engineering team and analyzing market opportunity.● Qualified and negotiated distributors/vendors to ensure component quality and efficient cost structures for the upcoming products.● Collaborated with sales and marketing team to develop marketing materials.

Lead role in designing and maturing Internal Audit’s data analytics program, performing maturity assessment, developing strategy and road map with the goal to transform bank's internal audit function into a data analytics-enabled organization. Working closely with the Bank’s Information Technology groups, Enterprise Data and Client Insights group, and other lines of business to identify use cases for data analytics, design and implement solutions.

Provide data-driven advanced analytics to solve complex business, performance management, and risk / compliance problems; Help build the services business and strong customer relationship; Utilizes program and project management skills to plan, track and execute on project; Identifies opportunities to position other services offerings. Sample engagement and responsibilities: ● Built prepayment forecasting model for an auto loan portfolio, where the outcome was used as a key input for client’s cash flow projection ● Developed quantitative based methods/strategies focusing on risk management and regulatory goals; successfully helped clients to address regulator’s concerns and cleared several rounds of stress test ● Led various analytic projects end-to-end: gathering and exploring data, conducting analyses, developing and validating statistical models, presenting findings, and making critical recommendations to clients’ senior leadership ● Designed/enhanced data model and ETL process for BI/Reporting solutions, significantly improved data quality● Established real-time analytic capabilities and created insightful dashboards (Spotfire/Tableau based) to track KPI, which allowed clients to utilize structure/unstructured information effectively ● Partnered with cross-functional teams including stakeholders from Accounting, Risk, Operation, and IT to develop strategic outlook for management and operations, business case, and implementation roadmap ● Regional technical leader for firm's Robotics Process Automation (RPA) campaign; Create RPA go-to-market POV, business use cases, proof of concept and demo for financial service client in various business function areas by leveraging Agile methodology

Major projects include:● CCAR data reconciliation● AML/KYC management reporting enhancement● Post-acquisition integration process for bank's loan portfolio

Led internal team members and consultants to set up lender based student loan portfolios, classify consumer credit risk level, implement risk assessment (Default Development Assumption and Recovery Assumption) into pricing model for these portfolios with more than $10 billion net origination value. Reviewed and evaluated Fixed Income portfolios based on the credit quality to uncover value trade opportunities and provided advisory services. Coordinated with LOBs and IT to automate the integration of company’s own guarantee system and external servicing data, rebuilt data structure, derived complicated measurement and statistic conclusions. I was also the data steward of company’s proprietary database.

Core member of the risk management team focused on assessing the default and prepayment risk associated with private student loan portfolio, in conjunction with consumer lending /Asset Backed Securitization business and fixed income market; Developed multivariate regression models and scorecard for default/prepayment projection; Worked with IT to implement risk models and business strategies in production. Performed pre-sale and after-sale analysis for Capital Market’s private student loan backed securitization deals; Generated reports for major rating agencies.