Senior Manager, Data Science & Analytics at Jobgether — NeverHard
Senior Manager, Data Science & Analytics at Jobgether in Canada. Skills: Analytics, Business Strategy, Forecasting, Leadership, Machine Learning. Apply on NeverHard.
Company
Jobgether
Location
Canada
Type
full_time
Remote: Yes
Required skills:
Analytics
Business Strategy
Forecasting
Leadership
Machine Learning
data science
experimentation
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Data Science & Analytics based in Canada.
This is a high-impact leadership role at the intersection of data science, analytics, and business strategy. You will lead a team responsible for transforming complex data into actionable insights that shape product direction, customer experience, marketing effectiveness, and revenue growth. Operating in a fast-paced, data-driven environment, you will partner closely with senior leaders across multiple functions to define success metrics, build forecasting and behavioral models, and drive experimentation frameworks. The role blends strategic leadership with hands-on analytical depth, requiring someone who thrives in ambiguity and enjoys turning data into clear business decisions. You will also play a key role in evolving modern analytics capabilities, including self-serve data platforms and scalable measurement systems. This is an opportunity to directly influence how data informs decisions in a rapidly scaling, product-led organization.
Accountabilities
In this role, you will lead the evolution of the internal data science and analytics function, ensuring it delivers measurable business value and strategic insight.
Lead, mentor, and develop a team of Data Scientists and Analysts supporting cross-functional business units
Drive behavioral analytics, customer segmentation, experimentation, and product performance measurement initiatives
Build and maintain forecasting models, churn predictions, customer health scoring systems, and revenue or opportunity models
Partner closely with stakeholders across Product, Marketing, Sales, and Customer Experience to influence strategy and priorities
Collaborate with data engineering to enhance internal analytics platforms and enable scalable self-service analytics
Define standards, frameworks, and best practices to ensure consistency, rigor, and efficiency in analytics delivery
Requirements
The ideal candidate brings a strong combination of technical expertise, leadership capability, and business acumen.
7+ years of experience in Data Science, Product Analytics, Business Analytics, or a related quantitative field
Proven experience leading and developing high-performing analytics or data science teams
Strong expertise in experimentation design, statistical analysis, forecasting, and behavioral analytics
Advanced SQL skills and proficiency in Python or similar analytical programming languages
Experience designing metrics frameworks and driving data-informed decision-making in product or growth contexts
Ability to communicate complex insights clearly to both technical and non-technical stakeholders, including senior leadership
Hands-on experience with modern data stacks (e.g., Snowflake, dbt, and product analytics tools)
Experience in B2B SaaS, PLG, or subscription-based business models is strongly preferred
Benefits
Competitive base salary range:
USD $170,000 – $200,000
, depending on experience
100% coverage of medical, dental, vision, mental health, and supplemental insurance for employees and families
16 weeks of fully paid parental leave
Unlimited paid time off (PTO)
Remote-first flexibility with a globally distributed team
Annual stipends for home office setup, wellness, and professional development
Strong investment in learning, growth, and career development opportunities
Inclusive and people-first culture focused on transparency, empathy, and responsibility
How Jobgether works:
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.