Manager data science

Benevity; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

Join a leading company that empowers social action through technology as a Manager of Data and ML/AI Science. You will lead a team to deliver AI-powered insights and ensure data governance while fostering a collaborative team culture. This role offers the opportunity to make a significant impact in a purpose-driven environment.

Benefits

Flexible work environment

Growth opportunities

Diversity and inclusion initiatives

Qualifications

• 5+ years experience in data science or analytics, including 3+ years leading technical teams.
• Track record of delivering impactful AI/ML solutions in SaaS environments.

Responsibilities

• Lead a multidisciplinary team of data scientists and analysts.
• Oversee design and deployment of models for classification and NLP.
• Act as a data owner for key domains, ensuring data quality and compliance.

Skills

Data Science

Machine Learning

Data Governance

Collaboration

Education

Computer Science

Data Science

Statistics

Tools

Python

SQL

R

Git

TensorFlow

BigQuery

Power BI

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're seeking a strategic and collaborative Manager of Data and ML/AI Science to lead a high-impact team of data scientists, analysts, and data modelers for our B2B SaaS Enterprise Impact platform. In this role, you'll be responsible for delivering AI-powered insights, models, and data products—while also championing strong data ownership and governance across our systems.

The ideal candidate combines deep expertise in data science and machine learning, a strong foundation in data modeling and analytics, and experience leading cross-functional teams in a product-driven SaaS environment.

What you'll do:

Team Leadership & Delivery

• Lead, support, and grow a multidisciplinary team of data scientists, analysts, and data modelers
• Define and deliver the data and AI science roadmap in alignment with product and business goals
• Foster a collaborative, inclusive team culture grounded in experimentation, continuous learning, and responsible AI practices
• Partner with product, engineering, and client-facing teams to build intelligent features, recommendations, automation, and analytics

Data Science & AI Delivery

• Oversee the design and deployment of models for classification, natural language processing (NLP), and forecasting
• Ensure models are production-ready, explainable, fair, and continuously monitored for accuracy and drift
• Establish modular, reusable frameworks to support scalable and efficient model development
• Guide experimentation and A/B testing to validate insights and improve platform performance

Data Modeling & Analytics

• Lead the design of structured, domain-specific data products to support AI, analytics, and BI use cases
• Own key data definitions, taxonomies, and lineage, ensuring clarity and consistency across teams
• Promote best practices in dimensional modeling and feature engineering

Data & AI Governance

• Act as a data owner for key domains, driving data quality, consistency, and compliance organization-wide
• Implement governance practices including data cataloging, metadata management, and policy adherence
• Collaborate with security and compliance teams to uphold privacy standards (e.g., SOC 2, GDPR, PIPEDA)
• Define and maintain governance standards for AI systems, including documentation, reproducibility, and traceability

What you'll bring:

• 5+ years of experience in data science or analytics, including 3+ years leading technical teams
• A track record of delivering impactful AI/ML solutions in SaaS or product-led environments
• Solid understanding of data governance, data modeling, and domain ownership
• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
• A degree in Computer Science, Data Science, Statistics, or a related field

Technical Skills & Expertise:

• Languages & Tools: Python, SQL, R, Jupyter, Git
• ML/AI: Scikit-learn, XGBoost, TensorFlow, PyTorch, MLflow
• Data Modeling & Analytics: BigQuery, Snowflake, DBT, Redshift, Looker, Power BI
• ML Ops & Pipelines: Airflow, SageMaker, Vertex AI, Databricks, Feature Stores
• Governance Tools: Collibra, Monte Carlo, Datafold, Alation, Informatica (preferred)
• Strong understanding of SaaS metrics, experimentation frameworks, and B2B platform data structures

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. Caring co-workers. 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 [e-mail].