Senior Data Science Manager, Growth and Optimization

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Science Manager, Growth and Optimization in the United States.

This role leads a high-impact data science team focused on driving measurable growth across acquisition, engagement, and retention initiatives. You will partner closely with cross-functional teams—including marketing, product, and analytics—to define metrics, develop experimentation frameworks, and ensure business decisions are data-driven. As a senior manager, you will mentor and grow a team of data scientists, establish analytical standards, and influence executive decision-making with actionable insights. The position combines strategic leadership, hands-on technical expertise, and a strong focus on driving growth in a fast-paced, collaborative environment.

Accountabilities

• Lead the analytical vision across growth and optimization initiatives, ensuring data, experimentation, and measurement rigor guide decision-making.
• Define and evolve metrics, methodologies, and experimentation frameworks for acquisition, engagement, and retention programs.
• Collaborate with Marketing, Finance, Business Analytics, and Product teams to support corporate reporting, forecasting, and planning.
• Partner with engineers and analysts to enhance marketing analytics infrastructure, including predictive models and data pipelines.
• Mentor, coach, and inspire a team of marketing data scientists, fostering a culture of analytical excellence and innovation.
• Influence senior leadership by credibly representing both data science and business perspectives.
• Drive continual improvement of analytics processes and organizational culture in a high-paced growth environment.

• 7+ years of analytics experience, including 3+ years in management or team leadership.
• Proven track record of driving business impact through analytics in growth, performance, or ROI-focused marketing programs.
• Strong technical and analytical skills, with hands-on experience in experimentation, attribution, lift tests, and marketing measurement techniques.
• Experience managing and prioritizing high-impact analytics work while empowering a team of analysts.
• Excellent communication and relationship-building skills with cross-functional teams and senior leadership.
• Experience with marketing analytics infrastructure, data pipelines, and predictive modeling is highly desirable.
• Bachelor’s degree in a quantitative field, or equivalent experience; advanced degrees are a plus.

• Competitive compensation and performance-based bonus.
• Equity opportunities.
• Flexible, remote-first work environment with autonomy over your schedule.
• Comprehensive healthcare benefits including medical, dental, and vision insurance.
• Generous PTO policy and company holidays.
• Professional development support and resources to grow your skills.
• Opportunity to make a measurable impact on business growth and customer success.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team.

Thank you for your interest!

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