Senior Manager, Data Science & Analytics Full Time NEW

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.