Data Science Manager

Job Description

Job 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 to integrate analytics into business teams, enhancing our online learning platform. Collaborate with stakeholders to understand requirements, develop technical roadmaps, and identify opportunities for automation and efficiency to  deliver effective data products. Develop scalable reporting solutions by building reliable data layers, increasing self-service capabilities, and driving data-driven decision-making. Establish and expand best practices in data analysis, modeling, dashboard design, and visualization to deliver actionable insights. Partner with senior leadership to influence strategic decisions and contribute to the company’s long-term vision. Stay updated on industry trends and emerging technologies in business intelligence and analytics to drive innovation and skill development. Foster strong, trusted relationships with the team and stakeholders to enable seamless collaboration and cultivate a positive, 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 #LI-AK1