Senior Manager Data Science

Job Overview:

We are seeking a dynamic, collaborative, and experienced Senior Manager to lead data science across several key areas: Growth Product (onboarding, monetization and payments platform) and Grow with Google. Reporting to the Director of Data Science, this role will spearhead analytics-driven strategies to improve product experiences and monetization strategies and collaborate with cross-functional stakeholders to support Grow with Google business. This role requires a blend of analytical prowess, strategic thinking, and cross-functional collaboration to drive impactful outcomes across our consumer, enterprise, and degrees learner segments.

As a Senior Manager, Data Science the individual is expected to influence the strategies and roadmaps for business units under their purview and support the involved teams throughout the execution time.  More specifically,  this leader is expected to lead their team in providing  Analytics support to stakeholders addressing A/B testing setups and reporting, answering ad-hoc business questions, defining metrics and goals for the business units they support, building and managing dashboards, causal inference and ML modeling to address variety of business problems,  support business event tracking and unification, influencing A/B testing platform capabilities, and more.

Responsibilities:

• Partner with stakeholders to establish metrics and goals to drive growth product and monetization strategies. Provide thought leadership to key stakeholders within product, engineering, marketing and revenue planning / finance areas.
• Collaborate closely with stakeholders to drive development data-driven strategies and inform investment decisions to support growth and optimization for Grow with Google.
• Leverage data, insights and experimentation to establish robust measurement strategies. Supervise the development of statistically correct test designs to ensure well powered test results and insights needed to drive improved learner experience on our learning platform.
• Increase self-service to insights capabilities via a combination of tools, dashboards, and education. Own production, development and maintenance of reports, Amplitude & Looker dashboards, data cubes and ongoing analyses to meet SLAs. Continuously think about how to improve the analytics infrastructure for the team and automate processes.
• Lead the data science and analytics organization to always push the boundaries to deliver high quality analysis and translate data into insights, strategies and actions that can help Coursera’s business growth; grow the organization, mentor and maintain a high bar of analytical depth for the team.

Basic Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field; Master's degree preferred.
• 6+ years of experience in data analytics, business intelligence, or related roles, with 4+ years of managerial experience.
• A strategic thinker with a keen eye for identifying growth opportunities and translating them into actionable plans. Exceptional problem-solving skills, with a strong ability to drive towards action and impact.
• Excellent communication skills with the ability to convey complex technical concepts to non- technical stakeholders in a clear and concise manner.
• Strong command of analytical and visualization tools including Amplitude, Looker, SQL, and Python for data analysis and modeling.
• Excellent knowledge of Statistics, Experimentation, Test Design Setup, Measurement and A/B Testing.
• Demonstrated experience in leading cross-functional projects and collaborating with stakeholders at all levels of the organization.

Preferred Qualifications:

• Experience at EdTech or Content Subscription business
• Ph.D. degree in statistics, mathematics, analytics, engineering, computer science, operation research or other related fields
• Experience with Airflow, Databricks and/or Looker

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

Compensation:

Our job titles may span more than one career level. The starting base pay for this role is between $196,930 and $238,500. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role is also eligible for bonus, equity, and benefits. 

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