Christopher Krueger Email & Phone Number

San Antonio, TX, US

• Delivered cross-functional leadership across product management and data analytics, building the product intelligence ecosystem by creating a multi-year vision and strategy for data culture and infrastructure change.
• Steered roadmap development to evaluate and monitor software as a service (SaaS) product growth; tracked 10 key metrics across multiple dimensions, including adoption, engagement, and retention.
• Fostered and maintained an environment focused on data-driven decision-making by orchestrating the design of a diverse array of analytics products within relational and resource description framework (RDF) models.
• Instrumental in securing the company's largest contract ever at $9M total by providing product analytics to the sales team; launched five new analytics products, leading to increased user adoption of the analytics.
• Successfully reduced time-to-insight by 50% by optimizing and streamlining data processes and infrastructure upgrades; installed two new data management features that reduced delivery time.
• Launched a data infrastructure enhancement project to establish a data catalog for governance and to conduct two proofs of concept to evaluate data virtualization and a product knowledge graph.

• Founded and spearheaded a high-performing analytics team of 20 to enable data-driven decision-making and operational excellence; successfully generated $1M+ cost savings and 4,000+ annual hours saved.
• Created machine learning models using Python in Domino Data Lab, including software profile recommender, incident classification, clustering, and natural language processing (NLP) to retire 2,500 knowledge articles.
• Conducted data analysis to produce and present key insights to executive leadership and established actions to achieve service delivery target goals; produced real-time insights to prepare business processes for.
• Promoted performance improvement and optimization by building cross-unit knowledge-sharing forums and technical working groups; assessed team capabilities and led goal setting to advance two maturity levels.
• Created the analytics business plan and strategy to ensure alignment between operations and strategy; developed processes for data engineering, requirements engineering, business intelligence, and data governance.

M.S., Information Technology - Data Analytics, Gpa 3.9

B.S., Information Technology, Gpa 4.0

Graduated Summa Cum Laude.