Wendy G.

About Wendy G.

At ServiceNow, our team is at the forefront of pioneering machine learning and artificial intelligence initiatives, with a steadfast focus on quality data engineering. The dedication to excellence in these areas stems from robust leadership and a clear vision for the future, which is reflected in the seamless technology stack migrations and strategic alignment with corporate objectives. Operational leadership and a commitment to professional development underpin our ability to deliver high-impact solutions.Collaboratively, we steer our engineering teams toward successful project outcomes, ensuring that resources are well-managed and delivery commitments are met. This environment of innovation and execution has solidified ServiceNow\'s standing in digital workflow solutions, leveraging my domain expertise in ML and AI to empower analysts and drive informed business decisions. Our collective efforts contribute to a culture where technology advancements and operational precision coalesce to support ServiceNow\'s ascent in the field of digital workflows.

Experience

1. Director, Data Engineering and Ai

   ServiceNow

   Mar 2021 — Present · San Francisco, CA, US

   Set vision and roadmaps for AI-driven data engineering, ensuring scalable, high-quality data solutions that empower advanced analytics and machine learning initiatives.Own all aspects of AI-powered data engineering and data science, integrating automation and AI models to enhance data availability, quality, and accessibility for analysts and business teams.Lead AI-driven technology stack migration, optimizing infrastructure to support next-gen analytics, predictive modeling, and real-time AI applications.Operational lead for next-gen AI strategy, aligning data engineering and AI/ML capabilities with corporate innovation goals.Proven track record in hiring, mentoring, and developing AI and data science talent, fostering technical excellence in AI, MLOps, and data engineering.Supervise and lead AI-focused engineering teams, ensuring on-time delivery of AI models, data pipelines, and intelligent automation solutions.Drive the design and deployment of AI-powered data models and pipelines, enhancing predictive analytics, automation, and data-driven decision-making.Champion AI-first enhancements to the Data Platform, ensuring it meets the evolving needs of AI/ML workloads and business intelligence.Passionate about AI, data, and leadership, balancing hands-on technical work with strategic management of AI and data engineering initiatives.Provide AI-driven prioritization and guidance for data projects using agile methodologies, ensuring efficiency and alignment with business needs.Deep experience with scalable, AI-powered distributed systems, designing end-to-end architectures for real-time AI applications and big data workflows.Proven success in coaching AI and analytics leaders, fostering innovation and expertise in AI, machine learning, and advanced analytics.Mentor AI and analytics leaders across industries, shaping the future of AI-driven decision-making and data strategy.

Education

• University of San Francisco

  BS, Biology with minor in Biochemistry

  1995 — 1998

Skills

• Business Intelligence
• Analytics
• Enterprise Software
• Agile Methodologies
• Crm
• Tableau
• Data Analysis
• Data Mining
• Sql
• Product Management
• Saas
• Business Process
• Management
• Big Data
• Technical Support
• Cross-Functional Team Leadership
• Data Warehousing
• Mysql
• Data Visualization
• Enterprise Architecture
• Databases
• Crystal Reports
• Business Intelligence Tools
• Business Objects
• Alteryx
• Bugzilla
• Instructor-Led Training
• Conference Organization
• Experienced Speaker
• Business Analysis
• Event Planning
• Customer Relationship Management (Crm)