VP, Data Platform, Analytics

Crisis Prevention Institute

VP, Data Platform and Analytics leading the strategy for CPI’s data architecture and analytics. Responsible for enabling data-informed decisions and managing data platforms effectively.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering strategy, governance, and architecture, with a strong focus on data ingestion, modeling, and delivery. Proven ability to lead teams, develop data-driven solutions, and enhance data quality and accessibility across the organization.

Highest-signal resume keywords

Data Engineering StrategyTeam LeadershipSQL Server Integration ServicesData GovernanceData Ingestion Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL ToolsData AnalyticsData VisualizationData Quality FrameworksData Infrastructure ScalingTechnical ArchitectureData ScienceReporting TechniquesData-Driven Decision Making

Soft Skills

Team-BuildingInterpersonal SkillsStrategic ThinkingNegotiation SkillsCommunication Skills

Industry Keywords

Data Engineering LifecycleData Governance PoliciesEnterprise DataAI InitiativesCross-Functional Collaboration

Tech Stack

Tools & technologies

ETLSQLSSIS

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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