Oliver B.
AI PRODUCT AND DATA ANALYTICS LEADER
- Role
- Director of Analytics at Vontier
- Location
- Raleigh-Durham-Chapel Hill, NC, US
- LinkedIn followers
- 500 followers
About Oliver B.
Senior Director / VP-level AI, Data & Platform leader with 20+ years building and scaling connected-product and cloud analytics platforms. Trusted executive partner who translates strategy into funded roadmaps, actionable requirements, and measurable business outcomes. Proven in delivering ML solutions tied to financial performance, modernizing legacy environments into governed cloud data platforms with CI/CD and data quality controls, and establishing common data models and RBAC-based reporting to enable secure, enterprise-wide visibility.• AI Product Ownership• Machine Learning and Applied Analytics Strategist• Enterprise Data Strategy and Data Models• Cloud Data Platforms / EDW • Data Security and Governance • Executive Stakeholder Leadership• Data Quality Management and Validation Gates• Portfolio, Roadmap, and Prioritization• Platform Modernization and Legacy Migration• CI/CD for Data Platforms
Experience
Director of Analytics
Apr 2022 — Present
Provided enterprise AI and data strategy leadership across multiple operating companies, partnering with OpCo executives and parent-company C suite to build business cases, define solution requirements, and translate AI capabilities into measurable outcomes. Led data model strategy and platform modernization, migrating legacy analytics solutions to modern cloud EDWs while establishing a common data framework enabling cross-company aggregation and enterprise visibility- Led development of an AI-driven location intelligence and site planning capability, delivering 21 deep learning models (demand/adoption forecasting, utilization prediction, pricing optimization, segmentation, customer journey analytics) to support commercialization and growth targets- Directed financial risk and retention analytics initiatives that identified leading indicators of partner/customer attrition; informed actions projected to reduce separations by ~15% and implemented scoring/policy changes targeting 4–5% write-off reduction - Delivered procurement/category analytics and global reporting that contributed to a 0.5% annual reduction in direct material costs through improved visibility and standardized definitions- Defined and rolled out an ERP common data model across operating companies, enabling automated data collection for planning/performance processes and reducing manual effort by FTE-hours per iteration at one OpCo-Built and operationalized Azure DevOps CI/CD for Snowflake SQL deployments, including automated schema build-outs, data quality validation gates, and environment promotion (dev/test/prod) to standardize delivery and reduce release risk- Established a reporting and access strategy aligned to role-based access control (RBAC), improving governed self-service analytics while protecting sensitive enterprise data.
Education
University of Southern California
MS, Systems Architecture and Engineering
Indiana University - Kelley School of Business
MBA, Venture Capital and Entreprenuership
Purdue University
BS, Engineering
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