Continuous Improvement Data Science

Dan Case

**** **** **, ******, ** • 737-***-**** • ********@*****.*** • LinkedIn

Summary

Accomplished technology leader with over 20 years of experience driving execution in high-growth environments. Proven expertise in cloud computing, SaaS delivery, and leveraging AI/ML to accelerate innovation. Adept at formulating strategic product visions, building high-performing teams, and promoting a culture of ownership and accountability. Strong negotiator with success in brokering multi-million dollar contracts and optimizing operational costs. Passionate about empowering teams, continuous improvement, and delivering measurable business impact.

Key Accomplishments

● Implementing rigorous practices improved the on-time and predictable delivery of all products by 80%.

● Created development methodologies driving a 40% improvement in velocity, accelerating time-to-value.

● Optimized cloud infrastructure, reducing footprint and costs by 30% while maintaining performance.

● Established AI-based security analysis, enabling the company to exceed SOC 2 requirements.

● Eliminated $2M in unutilized cloud spending in 18 months.

● Decreased open support tickets from triple to single digits within 6 months through analytics-driven actions.

● Accelerated cloud deployment timelines from 1 month to <1 week, decreasing costs by 27%.

● Initiated strategic migration from on-prem to cloud, increasing revenue and reducing sales cycles by 80%.

● Consolidated disparate networks into a single vendor, saving $2M annually. WORK EXPERIENCE

Director of Product Engineering

Network to Code • AUSTIN, TX, USA • 06/2023 - Current

• Implemented practices that improved on-time and predictable delivery of all products by 80%

• Created methodologies for speeding up development, pull requests, and documentation resulting in a 40% improvement in velocity

• Defined the product AI strategy to be executed this year

• Implemented SLAs with documented incident response practices and root cause analysis to ensure that the same mistakes are not repeated

• Refactored the infrastructure platform resulting in a smaller, simpler footprint that reduced costs by 30%

• Reorganized teams with minimal disruption resulting in diverse self-sufficient teams, substantially reducing dependencies.

Head Of Platform And Data Engineering/Data Science Dealerware • AUSTIN, TX, USA • 08/2021 - 03/2023

• Lead DevOps, Data Engineering, Data Science, Architecture, API, and two feature development scrum teams

• Standardized and reduced cloud operating costs of our AWS Kubernetes (EKS), Docker, and ETL/ Snowflake environments for pre-production and production

• Hands-on deployment of AI-based security and compliance analysis to meet and exceed SOC 2 requirements

• Hands-on implementation of Business Intelligence tooling to provide informational dashboards across all Dealerware business units to enable data-driven decision-making resulting in $600K savings Page 1 of 3

• Hands-on execution of a company-wide observability and log analysis to provide alerting, and business metrics to enhance executive leadership decisions. Resulting in meeting SLAs and Mean Time to Repair

(MTTR) KPIs.

• Initiated a company-wide Risk Up Front ™ project delivery framework across engineering, product, and sales. This has led to a common language, adherence to commitments, and improved product delivery to our customers

• • Implement cost management and awareness across the engineering organization. This led to cost savings of 25% in three months across our AWS platform

• Implemented "Shift Left" for QA/Testing so that the developers own more of the testing This has resulted in a 20% reduction in bugs and improved time-to-value Director Site Reliability Engineering

Fidelity Investments • AUSTIN, TX, USA • 02/2021 - 08/2021

• Increased alerts from 68% of all applications to >18,000 being monitored, improving SLA by 20%

• Created AWS cloud training to uplevel multiple teams across the organization Director Site Reliability Engineering

Symphony • AUSTIN, TX, USA • 03/2019 - 02/2021

• Improved the deployment, management, security, and maintenance of our global SaaS environment and associated multi-cloud infrastructure resulting in a four 9s SLA

• Eliminated $2 million worth of AWS and Google Cloud spending by identifying unused or underutilized resources

• Progressed from meeting 28% of board-established goals to 105% in 18 months.

• Using data-driven actions to identify and permanently resolve persistent problems and bottlenecks, saving $600,000 annually, and increasing customer satisfaction

• Implementing company-wide logging, metrics, and analytics to reduce mean time to detection to minutes and reduced mean time to repair KPIs by %200 for the entire SaaS offering

• Empowering key stakeholders to ensure that the most impactful projects are completed first

• Reduction of open support tickets from triple digits to sustained single digits in 6 months Migration Manager/Architect

Comcast • Austin TX, USA • 06/2013 - 02/2019

• Executed extensive business analysis enabling an organization to shift from on-site deployment to cloud deployment, resulting in increased revenue and service, faster deployment (from one month to less than one week), and a 27% decrease in cost to customers and Comcast

• Collaborated with the leadership of several domestic and international cable companies to address their business needs and requirements with the migration of on-premise data centers to the cloud to ensure customer success

• Lead the architecture, development, planning, and integration of cloud deployment projects, including performance testing, risk mitigation, defect resolution, quality assurance, error handling, and application architecture.

• Created the company’s first pre-sales documentation, to address critical productivity issues, reducing sales cycle time from 6-18 months to less than two months Page 2 of 3

Private Cloud Manager

Dell Inc • AUSTIN, TX, USA • 03/2012 - 05/2013

• Managed the IT outsourcing transition which led to a 20% increase in revenue as a result of faster deployments and more efficient support

• Developed, managed, and achieved the objectives of $10M annual budget

• Led a team of project managers and engineers that designed, and implemented highly customized private cloud solutions for multi-billion dollar high-touch customers

• Migrated over 300 separate networks to less than 30 resulting in overall average savings of 12% Director Of Global Networks

Polycom Inc • SAN JOSE, CA, USA • 05/2001 - 03/2012

• Re-deployed multi-vendor networks to a single vendor network resulting in savings of $2 million year-over-year.

• Collapsed international parallel sales network into a single network, leading to annual savings of $5 million

• Served as point of contact for CIO, CEO, and CFO for global growth initiatives.

• Combined disparate security, networking, and project management teams into a single team resulting in cost savings of $500K

• Hands-on implementation of on-demand, scalable infrastructure in support of the company's customer-facing demonstration needs, increasing sales by 22% over two years

• Negotiated 50% reductions in network equipment resulting in over $1 million in annual savings CERTIFICATIONS

Executive Leadership

Wharton

AWS

Solutions Architect Associate, Developer Associate, DevOps Engineer Associate, SysOps Administrator Associate, Advanced Networking

LinkedIn Learning

Career Essential in Generative AI by Microsoft and LinkedIn, Introduction to Artificial Intelligence, Ethics in the Age of Generative AI, What is Generative AI, DevOps Foundations Monitoring and Observability, Learning Terraform, Developing a Learning Mindset, Critical Thinking, Building Trust, Having Difficult Conversations, Solving Business Problems, Using Questions to Foster Critical Thinking, Becoming a Thought Leader, Why Mentoring Matters, and many others

Technical Expertise Languages: Python Cloud: AWS, GCPDatabases: PostgreSQL, MySQL, Snowflake DevOps: Git, Jenkins, CircleCI, Kubernetes Agile: Scrum, Kanban, Jira Data: Kafka Observability: Splunk, Datadog, Grafana

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