Benevity
SaaS
Director,DataandAIEngineering
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“Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. Lead cross-functional teams”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified
What You'll Do.
Define and execute data and AI strategy
Lead cross-functional teams
Establish data-as-a-product principles
Drive innovation in real-time analytics
and Customer Success teams
Design and oversee high-scale
cloud-native data architectures
Implement highly available
fault-tolerant data pipelines
Lead data modeling initiatives
Work with engineering teams to embed AI-powered features
and cost optimization
Oversee the development of ML/AI models
Implement MLOps best practices
Lead initiatives in AI-powered recommendations
Build and manage BI tools
Develop product analytics frameworks
Implement embedded analytics solutions
Optimize reporting for SaaS metrics
Own data governance frameworks
Define and implement data lineage
Drive role-based access controls
Champion data democratization
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams; Customer Success teams
Communication Scope
Executive presentations; Technical documentation
Process & Methodology
Agile
Full Job Description
MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Eng
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