Director, Data and AI Engineering

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 Engineering & Platform Architecture Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing.
• Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform.
• Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting.
• Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization.
• Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure.
• AI/ML Engineering & Data Science Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production.
• Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference.
• Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings.
• Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations.
• Business Intelligence & Product Analytics Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders.
• Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement.
• Implement embedded analytics solutions that allow clients to gain actionable insights from their data.
• Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making.
• Data Governance & Compliance Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.).
• Define and implement data lineage, metadata management, and master data management (MDM) best practices.
• Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem.
• Champion data democratization, enabling teams to access trusted, well-documented data.
• What you’ll bring: 10+ years of experience in data engineering, AI/ML
• analytics leadership roles, ideally in B2B SaaS or cloud-based platforms Strong expertise in scalable data architectures, ML/AI systems
• embedded analytics Proven track record in leading high-performance teams, managing budgets
• delivering data-driven product innovations Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.)
• customer-facing analytics Familiarity with emerging AI trends, including LLMs, Generative AI
• responsible AI frameworks Familiarity with SaaS product analytics and AI-powered automation use cases Master’s or PhD in Computer Science, Data Science, AI/ML
• a related field is preferred Technical Skills & Expertise Data & AI Stacks (Cloud-Native, SaaS-Optimized) Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel Data Governance & Security: Collibra, Informatica, Alation, Immuta Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform Programming: Python, SQL, Scala, Java Streaming & Real-Time Data: Kafka, Flink, Apache Beam Discover your purpose at work We’re not employees, we’re Benevity-ites.
• From all locations, backgrounds and walks of life, who deserve more … Innovative work.
• Growth opportunities.
• And a chance to do work that fills us with a sense of purpose.
• If the idea of working on tech that helps people do good in the world lights you up ...
• If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity.
• We’re so excited to meet you.
• Where We Work At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being.
• For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration.
• Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.
• Join a company where DEIB isn’t a buzzword Diversity, equity, inclusion and belonging are part of Benevity’s DNA.
• You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.
• We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.
• That starts with a fair and accessible hiring process.
• If you want to feel seen, heard and celebrated, you belong at Benevity.
• Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.