As the Global Head of Manufacturing at Snowflake, my role is centered on spearheading the strategic sales and marketing initiatives within the Manufacturing sector. I am responsible for driving the adoption of Snowflake's cutting-edge cloud data platform, empowering manufacturers to harness the full potential of their data for transformative insights and decision-making.Key Responsibilities:Strategic Leadership: Devise and implement a comprehensive go-to-market strategy that aligns with Snowflake’s vision, ensuring that we address the unique challenges and opportunities within the Manufacturing industry.Cross-Functional Collaboration: Collaborate closely with product, sales, and marketing teams to tailor our offerings to the nuanced needs of manufacturers, facilitating a cohesive approach to market penetration and customer satisfaction.Market Analysis & Growth: Conduct deep market analysis to identify growth opportunities and trends, thereby positioning Snowflake as a thought leader and trusted advisor in the Manufacturing data analytics space.Customer Advocacy: Build and maintain strong relationships with key industry stakeholders, turning customer feedback into actionable insights that drive product innovation and improve customer experience.Sales Enablement: Equip the sales team with the necessary tools, knowledge, and strategies to effectively communicate the value proposition of Snowflake’s solutions to manufacturing clients, enhancing our global sales efforts.Thought Leadership: Represent Snowflake at industry events, webinars, and conferences, delivering insights and engaging with peers to promote our technology solutions.

Contribute to adidas North America market profitability with deployment of analytics and AI solutions. Enable data-driven decision making at all levels of the business supporting supply chain, sales, digital, finance, brand, strategy, and IT functions.

• Managing a team of 200, I am responsible for defining and executing Micron’s enterprise analytics, big data, and artificial intelligence strategies to advance the profitability of the enterprise.• Advanced capability of global big data solutions while improving data latency and quality:o Two 300 node Hadoop clusters with 15 petabytes of data, filled by 10,000 data pipelineso Two 1 petabyte Teradata data warehouseso One 3 terabyte in-memory SAP HANA data warehouseo High availability Tableau environment where 2,000 analysts create content for 30,000 users• Restructured operations function towards DevOps and Agile methodologies resulting in $2M decrease in annual expense and improved customer satisfaction.• Designed and launched “Data Science for Leaders” workshop to demystify artificial intelligence, machine learning, deep learning, and other data science methods for 150 business leaders across the company.• Department recognized with CIO100 award for the “innovative use of IT and the business results achieved” in support of Micron’s Smart Manufacturing initiative, an initiative that has improved time to achieve mature product yield by 25%, increased manufacturing output by 10%, and reduced quality events by 35%.

Lead a team of data scientists and data engineers to solve high value business problems using the latest in AI, machine learning, and advanced analytics techniques. • Leverage data science practices to identify, quantify, and solve high value business problems for the enterprise, for IT, and for areas of the company that do not have a dedicated data science capability• Research and apply methods for conveying and visualizing data insights to drive an understanding of complex problems and accelerate decision making• Promote the business benefits of advanced analytics and data science within Micron’s business leadership

• Built a team of Data Scientists and Data Engineers to deliver self-service workforce analytics.• Led the development of predictive analytics for attrition, talent acquisition, predicting start dates for newhires, and estimating the effects of job description language on the diversity of the applicant pool.• Deployed a global cloud solution for self-service HR analytics in just 12 weeks. Enabled over a thousand managers to access analytical insights on workforce trends, calibration of base pay, equity, and other HR processes.• Architected a global data warehouse for HR data including ERP, finance, surveys, performance, recruiting, learning, and several other cloud and on-premise HR systems. Led the design and implementation of a fine- grained security architecture.

• Designed and implemented a linear program (LP) to maximize the amount of work delivered by assigning optimally assigning thousands of project tasks to talent.• Defined and reported key performance metrics, reported root cause analysis, and managed actions that improved IT strategy performance. Implemented robust metrics system to report the aggregate performance of 90+ process metrics. Diagnosed root cause and initiated actions to improve performance.• Optimized system capacity and workloads across 650 manufacturing IT servers. Underutilized systems dropped from 125 (38%) to 94 (25%) in six months; well utilized systems rose from 97 (29%) to 175 (47%).• Managed IT system monitoring initiative to improve diagnostics capability for manufacturing down events. Problems identified by monitoring rose from 0% to 65% in one year, leading to faster problem resolution.• Led the implementation of Lean fundamentals targeted at reducing wasteful activities such that more time can be invested in value-creation.