Tim Long
VP, Snowflake Manufacturing GTM | Data & AI at Scale | NYU Stern | ex-Micron, ex-adidas | Board Member
Snowflake
ex-adidasI believe data is the most powerful lever for competitive advantage in the modern enterprise.
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As a leader in data and analytics strategy, I have built and scaled high-performing teams, modernized data platforms, and driven AI & ML adoption to unlock business value across manufacturing, supply chain, and industrial sectors. Currently serving as Global Head of Manufacturing, I work at the intersection of industry consulting and cloud-native data platforms to help Fortune 500 organizations accelerate innovation, improve resiliency, and optimize operations through data. I have led initiatives that span everything from data product development and digital twin strategies to enterprise cloud adoption and AI-enabled decisioning. What sets me apart is a unique ability to translate between business strategy and technical execution. I work fluently across C-suites, engineering teams, and operational stakeholders to ensure data strategy is aligned with business outcomes—not just dashboards. Specialties: Data & Analytics Strategy | Data Governance | Cloud Data Architecture AI/ML Enablement | Digital Twins | Industrial IoT Data Product Management | Data Monetization | Business Transformation Executive Leadership | GTM Strategy | Cross-functional Collaboration If you're building a data-driven culture or transforming how your enterprise harnesses analytics and AI—let’s connect.
GTM Index
- SNOWFLAKEJOB
- Global Head of Manufacturi…5Y 1M
Global Head of Manufacturing, GTM | Data, Analytics, & AI
Snowflake
As the Global Head of Manufacturing at Snowflake, my role is to lead the strategic sales and marketing initiatives within the Manufacturing sector. I am responsible for driving the adoption of Snowflake's cloud data & AI platform, empowering manufacturers to harness the full potential of their data for digital transformation. Key Responsibilities: • Design and launch data & AI accelerators for the Supply Chains and the Manufacturing industry that enable customers to accelerate time-to-value in digital transformations. • 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…
- ADIDASJOB
- Head of Data & Analytics -…2Y
Head of Data & Analytics - North America
adidas
As Head of Data & Analytics for adidas North America, I led digital transformation initiatives for the region by integrating AI and advanced analytics into the core of business operations. My focus was on democratizing data across Supply Chain, Sales, Finance, and Brand functions to drive operational efficiency and sustainable market growth. By aligning technical innovation with commercial strategy, I empowered leadership teams to transition from reactive reporting to proactive, AI-driven insights. End-to-End Ownership: Lead the deployment of enterprise-grade AI/ML solutions to optimize the North America P&L. Operational Excellence: Modernized data stacks to support omnichannel sales and…
- MICRON TECHNOLOGYJOB
- Global Head of Enterprise…1Y 4M
Global Head of Enterprise Analytics and Data
Micron Technology
As Head of Enterprise Data & AI, I directed a global organization of 200+ data scientists, engineers, and analysts to execute Micron’s enterprise-wide Big Data and AI strategy, directly accelerating corporate profitability. * Modernized departmental operations by transitioning to DevOps and Agile methodologies, achieving a $2M reduction in annual operating expenses while significantly increasing internal stakeholder satisfaction. * Spearheaded the "Data Science for Leaders" initiative to educate 150+ executives on AI, ML, and Deep Learning to bridge the gap between technical capability and business application. * Modernized and managed one of the industry's largest data footprints, overs…
- Dir of Enterprise Data Sci…2Y 2M
Director of Enterprise Data Science
Micron Technology
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
- Dir of Workforce Data Scie…3Y 9M
Director of Workforce Data Science
Micron Technology
• 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 new hires, 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 sys…
- Sr Mgr, Analytics, Process…9Y 4M
Sr Manager, Analytics, Process, and Operations
Micron Technology
• 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 ini…
- Job: Micron Technology — Director of Enterprise Data Science · 2016-01 – 2018-03 — 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
- Job: Micron Technology — Sr Manager, Analytics, Process, and Operations · 2002-06 – 2011-10 — • 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 ini…
- Job: Micron Technology — Director of Workforce Data Science · 2012-05 – 2016-02 — • 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 new hires, 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 sys…
- Job: Micron Technology — Global Head of Enterprise Analytics and Data · 2018-03 – 2019-07 — As Head of Enterprise Data & AI, I directed a global organization of 200+ data scientists, engineers, and analysts to execute Micron’s enterprise-wide Big Data and AI strategy, directly accelerating corporate profitability. * Modernized departmental operations by transitioning to DevOps and Agile methodologies, achieving a $2M reduction in annual operating expenses while significantly increasing internal stakeholder satisfaction. * Spearheaded the "Data Science for Leaders" initiative to educate 150+ executives on AI, ML, and Deep Learning to bridge the gap between technical capability and business application. * Modernized and managed one of the industry's largest data footprints, overs…
- Job: adidas — Head of Data & Analytics - North America · 2019-07 – 2021-07 — As Head of Data & Analytics for adidas North America, I led digital transformation initiatives for the region by integrating AI and advanced analytics into the core of business operations. My focus was on democratizing data across Supply Chain, Sales, Finance, and Brand functions to drive operational efficiency and sustainable market growth. By aligning technical innovation with commercial strategy, I empowered leadership teams to transition from reactive reporting to proactive, AI-driven insights. End-to-End Ownership: Lead the deployment of enterprise-grade AI/ML solutions to optimize the North America P&L. Operational Excellence: Modernized data stacks to support omnichannel sales and…
- Job: Snowflake — Global Head of Manufacturing, GTM | Data, Analytics, & AI · 2021-07 – present — As the Global Head of Manufacturing at Snowflake, my role is to lead the strategic sales and marketing initiatives within the Manufacturing sector. I am responsible for driving the adoption of Snowflake's cloud data & AI platform, empowering manufacturers to harness the full potential of their data for digital transformation. Key Responsibilities: • Design and launch data & AI accelerators for the Supply Chains and the Manufacturing industry that enable customers to accelerate time-to-value in digital transformations. • 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…
- School: NYU Stern School of Business — MS Business Analytics, Information Technology, Big Data, Predictive Analytics
- School: University of Wyoming — Bachelor of Science, Mechanical Engineering
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ClickHouse
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