VP, Data Platform, Analytics

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Crisis Prevention Institute

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1980

📚 Education

💰 Private Equity Round on 2011-11

Education • Healthcare • Human Services

Crisis Prevention Institute is a leading provider of training programs designed to teach individuals how to prevent and manage crisis situations effectively. The organization specializes in evidence-based de-escalation techniques, trauma-informed approaches, and nonviolent crisis intervention methods, catering primarily to professionals in various sectors such as education, health care, and human services. CPI aims to foster safe environments through customized training solutions that equip staff with the necessary skills to handle challenging behaviors and situations confidently.

📋 Description

• Own the vision and technical strategy for data engineering at CPI, defining how data is ingested, modeled, and delivered across the organization. • Establish strategy, governance, and architecture to ensure reliability, quality, and health of all data ingestion pipelines. • Lead and develop a team of Data Engineers and Data Analysts responsible for CPI’s data platform and engineering roadmap. • Evolve data governance policies, standards, and quality frameworks across the full data engineering lifecycle. • Scale foundational data infrastructure to accelerate enterprise‑wide AI and generative AI initiatives. • Develop new techniques, reports, and models that improve insights, accessibility, and data‑driven decision making. • Design and develop solutions supporting ingestion, provisioning, and visualization of complex enterprise data for analytics, reporting, and data science. • Create and implement design standards and assurance processes for software, systems, and applications to ensure compatibility and operability of data connections, flows, and storage.

🎯 Requirements

• Bachelor’s degree in computer science, statistics, engineering, or related field, or equivalent experience. • 10+ years managing teams in analytics, data science, data engineering, or quantitative fields. • 8+ years working with SQL Server Integration Services or ETL tools. • Ability to present work to executives and large stakeholder groups. • Ability to translate business concepts into technical architecture. • Ability to collaborate with cross‑functional teams to define priorities and develop roadmaps. • Passion for data engineering and enabling organizations through data. • Excellent team‑building skills with the ability to attract, develop, and retain high‑performing talent. • Strong leadership skills with effective delegation and decision‑making abilities. • Well‑developed interpersonal, negotiation, writing, speaking, and listening skills. • Strong business acumen and strategic thinking.

🏖️ Benefits

• Comprehensive compensation package • Comprehensive benefits package • 401(k) • PTO • Health & Wellness Days • Paid Volunteer Time Off • Continuing education and training • Hybrid or remote work schedule • Paid Parental Leave