VP, Data Platform and Analytics

Crisis Prevention Institute, Inc

United States

Hybrid

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Hybrid or remote work schedule

Comprehensive compensation package

Comprehensive benefits package

401(k)

PTO

Health & Wellness Days

Paid Volunteer Time Off

Continuing education and training

Paid Parental Leave

Job summary

Crisis Prevention Institute, Inc. seeks a VP of Data Platform and Analytics to lead the data engineering strategy and deliver scalable data solutions that empower decision makers.

You will guide ingestion, modeling, governance, and performance across platforms while partnering with Finance, Product, Technology Services, Marketing, and Sales. You will build and mentor a team of data engineers and analysts, advance data governance, and drive enterprise AI initiatives with modern data

Qualifications

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 SSIS 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 crossfunctional teams to define priorities and develop roadmaps.
Passion for data engineering and enabling organizations through data.
Excellent teambuilding skills with the ability to attract, develop, and retain highperforming talent
Strong leadership skills with effective delegation and decisionmaking abilities.
Well-developed interpersonal, negotiation, writing, speaking, and listening skills.
Strong business acumen and strategic thinking.

Responsibilities

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 enterprisewide AI and generative AI initiatives.
Develop new techniques, reports, and models that improve insights, accessibility, and datadriven 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.

Skills

Executive presentation

Technical architecture

Leadership

Data governance

Stakeholder collaboration

Strategic thinking

Education

Bachelor’s degree in CS/Statistics/Engineering

Tools

SQL Server Integration Services

ETL tools

Azure Databricks

Snowflake

Power BI

Job description

Our Story

Crisis Prevention Institute (CPI) is the worldwide leader in evidencebased deescalation training, crisis prevention, and dementia care services. Our programs equip professionals with the skills to recognize, prevent, and respond to crises in the workplace. Since 1980, we've trained more than 17 million people across serviceoriented industries including education, health care, behavioral health, longterm care, human services, security, corporate, and retail.

At CPI, we are committed to changing behaviors and reducing conflict for the Care, Welfare, Safety, and Security of everyone. We believe empathy, meaningful connections, personal safety, and security are the antidotes to fear and anxiety. This philosophy is central to everything we do and traces back to our beginning.

As a Member of the Team, You Can Expect To

Make a meaningful impact through your work - you'll be proud to share what you do.
Gain significant career experience within a fastgrowing organization - from entrylevel roles to executive leadership.
Feel fulfilled and have fun - we work hard, build meaningful relationships, and celebrate wins together.

The Role

The VP, Data Platform and Analytics leads CPI's data platform and analytics strategy, delivering actionable and contextual information that empowers operational teams and leadership to make datainformed decisions. This role ensures CPI's data architecture meets performance, scalability, and security standards while partnering closely with Finance, Product, Technology Services, Marketing, and Sales.

This leader owns the endtoend strategy and delivery of CPI's data platforms. They will design, build, and oversee the deployment and operation of technology architecture, solutions, and software that capture, manage, store, and utilize structured and unstructured data from internal and external sources. They will also establish governance, processes, and workflows that channel enterprise data into Snowflake to drive reliable business intelligence in PowerBI.

What You Get To Do Every Day

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 enterprisewide AI and generative AI initiatives.
Develop new techniques, reports, and models that improve insights, accessibility, and datadriven 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.

You Need to Have

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 crossfunctional teams to define priorities and develop roadmaps.
Passion for data engineering and enabling organizations through data.
Excellent teambuilding skills with the ability to attract, develop, and retain highperforming talent
Strong leadership skills with effective delegation and decisionmaking abilities.
Welldeveloped interpersonal, negotiation, writing, speaking, and listening skills.
Strong business acumen and strategic thinking.

We'd Love to See

Agile or Scrum certification (Certified Scrum Master, Certified Product Owner).
Experience with large data platforms (Azure Data Bricks, Snowflake, AWS).
Experience integrating data across SaaS enterprise platforms such as Sage, Epicor, Oracle NetSuite, Microsoft Business Central, Microsoft Dynamics, or Marketo.

What We Offer