My expertise centers on building and enhancing teams, processes, and technologies that have delivered hundreds of millions in value and savings. I've successfully led leadership, data science, and consulting teams, playing a key role in the creation and rollout of AI solutions across various industries. I am known for my direct approach to problem-solving and my ability to weave compelling narratives from data, driven by a passion for curiosity and innovation.Highlights:• Skilled in analyzing complex data and solving challenging problems, with deep knowledge in analytics, machine learning, and AI, including Generative AI, strategic planning, and road mapping.• Wide-ranging industry experience, particularly in Technology, Consumer Goods, Retail, Automotive, Industrial, and Food & Beverage sectors.• As the former CEO of a fast-growing legal AI startup, I built high-performing teams and turned intricate challenges into executable strategies.• Directed projects that collectively added over $200M in value to Fortune 500 companies throughout my career.• Experienced in managing operations in start-ups, rapid growth, turnarounds, and restructuring scenarios.Feel free to connect with me on LinkedIn or follow me on Twitter (@jaysarmaz).Skills:Strategic Analysis • Data Visualization • AI Implementation • Team Leadership • Revenue Growth • Cost Reduction • Process Optimization • Stakeholder Engagement • Product Development • Risk Management • Strategic Business Planning • Performance Enhancement • Data-Driven Analytics • Machine Learning & AI Expertise • Generative AI
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Co-Founder And CeoStealth StartupSan Francisco, Ca, Us
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Vice President, Data & Ai | Ai Strategy, Generative Ai, Predictive AnalyticsCase Status Jan 2024 - PresentNorth Charleston, South Carolina, Us• Lead architect for Data & AI infrastructure that delivers large-scale Machine Learning (ML) / Large Language Model (LLM) product features for hundreds of thousands of legal cases every day.• Architecting, developing, and deploying AI applications; and educating both internal and external stakeholders.OpenAI, Llama, Vertex, LangChain, Claude, Python, Jinja, Redis, Postgres, DataBricks, Sisense -
Founder & Chief Data ScientistEncoreai Labs Dec 2022 - PresentAlpharetta, Georgia, UsEncore AI is a consultancy and research lab specializing in Data and AI, providing strategic leadership and visionary guidance to emerging tech companies. We work on problems that support AI-underserved industries.• Advised 15+ teams on Data Science, Machine Learning, and Advanced Analytics best practices to drive business outcomes in a tool-agnostic setting• Engaged with a multitude of enterprises and vendors on the technologies, strategies, and capabilities needed to stay ahead of the curve• Delivered 10+ workshops on driving business outcomes with AI, delivering data science at scale, and the untapped potential of data science in different industriesPreviously Scylla Data (Dec 2017- Dec 2022)Spun off from Scylla Data on Dec 2022 -
Ceo & Co-FounderTruve Apr 2022 - Nov 2023Atlanta, Georgia , UsTruve's suite of AI-powered tools and dashboards allows personal injury law firms to analyze and understand their firm performance end-to-end.As a CEO, my work encompassed 4 key areas: People, Culture/Purpose, Vision, and Technology.Highlights• Led the design, launch, and expansion of a pioneering AI-powered legal analytics platform, increasing operational efficiency for legal professionals by 30%. Platform housed 5000 data points tracking every aspect of legal operations end-to-end.• Built and managed a diverse, high-caliber global team of 35 legal and tech experts, fostering a culture of innovation and collaboration. Scaled the company’s valuation to nearly $20M from <$1M and secured its position as one of the Top 40 startups at the Venture Atlanta Conference.• Established and operationalized the entire business operation for scalability, ensuring compliance with ISO 27001, SOC2 Type II, and HIPAA standards. -
Director, Analytics/OptimizationNtt Data North America Jul 2018 - May 2022Plano, Texas, UsDirector (2021-2022), Sr. Manager (2019-2021), Manager (2018-2019)• Lead architect for large-scale E2E Optimization/Analytics (Optimization Engines, Alteryx, Python, R, SQL & Tableau) projects that deliver $1-50M+ to Fortune 500 within months.• Hired and led teams of data scientists/consultants for managed analytics/consulting engagements on a multitude of strategic/operational transformation projects such as predictive modeling, network design, long-range planning, SKU rationalization, and distribution optimization.• Coached customers and partners with solution design, implementation roadmaps, best use of cloud and on-premise technologies, project value realization, and deployment.• Architected & led company-wide continuous process automation and data modeling initiatives via Python, Alteryx, SQL, R, and Tableau. -
Data ScientistThe Clorox Company Jan 2017 - Jun 2018Oakland, Ca, Us• Lead Data Scientist for a team of 6 - led the team on a tool base of 160+ BI & Analytics dashboards/reports including training, architecture, break-fix support, and creation of new advanced analytics tools.• Architected and developed a BI tool in Visual Studio (VB.Net, ASP.Net, HTML5) and MS SQL for Operations that is utilized by 5000+ employees across 29 plants in NA and LATAM driving $30MM in structural cost savings. • Led predictive modeling and optimization projects (using R and Python) on transportation, inventory, warehousing and distribution, and network optimization (Llamasoft Supply Chain Guru & Data Guru).• Development and optimization of several analytics & reporting systems (including SSRS, MS VS Web, SharePoint), BI dashboards (Tableau), ETL processes (SSIS, Alteryx, R, Google Cloud) and data sources.• Strategy, testing, and implementation of new analytics tools and capabilities (Alteryx, Teradata, GCP, Tableau Server, PowerBI, MS Azure). -
Sr. Business Analyst / Sales EngineerOrs Bearings Inc. Jun 2012 - Oct 2016Ankara, Tr• Implemented a WMS, creating significant savings by zeroing out shipment errors, increasing traceability and automated data collection and efficiency of the warehouse operators and operations.• Led SAP on S/4 HANA implementation for the entire US operation;__* Led the project from Conceptualization to Go-live and Support phases.__* Have given 23 training and Q&A sessions and created 300+ pages of technical documentation for end users.__* Superuser for SD, MM, and WM modules. Expert in order-to-cash (O2C) processes.• Implemented an inventory management and demand forecasting program called “Connectivity”- managing inventories from production to distribution center ($15MM+ worth of inventory). The project reduced DC inventory by 30%, increased on-time deliveries to above 95%, and achieved a 14% increase in inventory turnover.• Increased DC utilization by 46% through reorganization of the warehouse floor, grouping/ungrouping items, allocation based on fast/slow-moving items, new equipment installation, and decreased inventory levels with the Connectivity project.• Managed technical and commercial client needs across automotive, agriculture, aerospace, and machining industries representing $8MM+ in revenue.• Supported OEM and aftermarket clients in all facets of the business to drive growth in existing and new product lines. Established new accounts with 2 major retailers covering the entire North American region with 300+ locations. -
Graduate Research And Teaching AssistantGeorgia Institute Of Technology Aug 2010 - May 2012Atlanta, Georgia , Us• Research on end-of-life costs associated with the Extended Producer Responsibility (EPR) regulations. We show that the presence of such legislation plays an important role in internalizing the external costs associated with design attributes of products such as durability and recyclability.• Research on the efficient allocation of carbon emission allowances over a supply chain. We show that the cost of reducing emissions across the supply chain is significantly lower if firms within the same supply chain collaborate.• Relevant Ph.D. level coursework includes Supply Chain Modeling, Linear and Nonlinear Optimization, Multivariate Statistics, Economic Decision Analysis, Econometrics, and Dynamic Programming.• Co-instructor for undergraduate core 3501 – Operations Management class, 2012. -
Student ConsultantMikes Sep 2009 - May 2010Ankara, TrDesigned and developed a simulation-based inventory management tool on C# that reduced spare parts inventory costs significantly. The project turned into an internship immediately after completion which then became a full-time position. -
Project-Based EngineerMegas Natural Spring Water Corp. Jul 2008 - May 2010• Created an Order Management System on Microsoft Access that substantially improved order tracking, data collection, forecasting, and O2C process.• Reorganized warehouse floor for efficiency and flow of operations, and implemented (s, Q) inventory policy for stochastic demand.• Designed and implemented a distance-based algorithm to determine optimal service locations within the branch territory during extensive water cuts in Ankara in 2008.
Jay Sarmaz Education Details
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Georgia Tech Scheller College Of BusinessGlobal Leadership -
Georgia Tech Scheller College Of BusinessOperations Management
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Georgia Tech Scheller College Of BusinessOperations Management
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Bilkent UniversityIndustrial Engineering
Frequently Asked Questions about Jay Sarmaz
What company does Jay Sarmaz work for?
Jay Sarmaz works for Stealth Startup
What is Jay Sarmaz's role at the current company?
Jay Sarmaz's current role is Co-founder and CEO.
What schools did Jay Sarmaz attend?
Jay Sarmaz attended Georgia Tech Scheller College Of Business, Georgia Tech Scheller College Of Business, Georgia Tech Scheller College Of Business, Bilkent University.
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