Senior Manager, Data Science

Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.

Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.

At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration.

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

Overview:

At Coursera, our Data team is helping to build the future of education through data-driven decision making and data-powered products. We drive marketing, product and business strategy through ensuring high quality data, measurement, experimentation, and causal inference.

We are seeking a dynamic, collaborative, and experienced Senior Manager to lead our Data Science team, responsible for KPI reporting and business analytics for business teams and functions. Reporting to the Director of Data Science, this role will play a pivotal role in shaping strategies and initiatives to enable our leaders, stakeholders and partners with reliable data, automation and analytics at Coursera, to drive business growth.

Responsibilities:

• Hire, mentor, and lead a team of data scientists, fostering a culture of continuous learning and integration of analytics into business teams to enhance our online learning platform.
• Collaborate with stakeholders to understand requirements, develop technical roadmaps, and identify opportunities for automation and efficiency, ensuring the delivery of impactful data products.
• Develop scalable data solutions by building reliable data layers, improving self-service capabilities, and driving data-driven decision-making across the organization.
• Conduct deep-dive analyses and hypothesis testing in partnership with teams and stakeholders to uncover actionable insights and improve business outcomes.
• Build forecasting models to identify patterns, predict future demand, and optimize resource allocation, enabling informed strategic decision-making.
• Influence strategic direction by partnering with senior leadership, providing data-driven recommendations, and contributing to the company’s long-term vision.
• Drive innovation and skill development by staying updated on industry trends, emerging technologies, and best practices in business intelligence and analytics.
• Bridge technical and non-technical teams, ensuring clear communication, aligning priorities, and fostering strong, collaborative relationships to create a positive and productive work environment.

Basic Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field; Master's degree preferred.
• 10+ years of experience in data analytics, business intelligence, or related roles, with 4+ years of managerial experience.
• Proficiency in programming languages such as SQL, Python, or R and experience with relevant data science libraries and frameworks. Hands-on experience with data visualization tools such as Looker, Tableau, or Amplitude.
• Strong understanding of data warehousing concepts and experience working with cloud-based data platforms (e.g., Databricks, AWS, Google Cloud).
• Excellent communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Proven leadership abilities, with a track record of successfully managing teams and driving projects to completion.
• Strong analytical and problem-solving skills, with the ability to translate data into actionable insights and recommendations.

Preferred Qualifications:

• Experience at EdTech or Content Subscription business.
• Experience working with Salesforce data.
• Experience with Airflow, Databricks.
• Experience with PM tools like JIRA, confluence.

If this opportunity interests you, you might like these courses on Coursera:

Go Beyond the Numbers: Translate Data into Insights
Applied AI with DeepLearning
Probability & Statistics for Machine Learning & Data Science