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Join Coursera's quest to democratize education as a Senior Technical Program Manager for our innovative Data Science & ML team
Overview
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Location
India
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Organisation summary: Coursera is a pioneering online learning platform offering universal access to top-tier education. Founded by Stanford professors in 2012, it has grown to serve 162 million learners globally, partnering with 350+ institutions. As a B Corp, Coursera is committed to a socially impactful mission—educational accessibility for all. The organization values diversity and supports a flexible, virtual work environment, making it an ideal workplace for those looking to make a difference in education.
- Lead high-impact programs within the Data Science & ML organization.
- Strategize and execute data enablement programs from start to finish.
- Collaborate with cross-functional teams to ensure program success and data excellence.
- Drive data-driven decision-making and enhance operational efficiency in line with business objectives.
- Maintain and evangelize documentation for data flows and advocate for data quality best practices.
- Stay updated on data management trends to continually improve the platform.
- Act as the primary contact for data enablement inquiries, supporting business and data science teams.
- Bachelor's or Master’s degree in CS, Information Systems, Engineering, or related field.
- 10+ years in a technical or program/product management role.
- Understanding of system design and ability to translate goals into technical solutions.
- Strong communication skills and the ability to work with diverse, global teams.
- Experience with JIRA, Airflow, Confluence is preferred.
- Prior experience in a data analyst or business analyst role is a plus.
Coursera was launched in 2012 by two Stanford Computer Science professors, 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 162 million registered learners as of September 30, 2024.
Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.
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.
We at Coursera 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.Â
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.
Job Overview:
A problem isn’t truly solved until it’s solved for all. That’s why we are looking for a dynamic and effective Senior Technical Program Manager to lead high-impact programs to deliver business value as part of the Data Science & ML organisation. As a Technical Program Manager, you will define strategy and execute data enablement programs end-to-end. You will build consensus among partners and drive cross-functional collaboration to ensure the success of long-term programs involving data standardisation, stewardship and excellence. To be successful in this role, you’ll excel at influencing without authority, dealing with ambiguity, being capable of operating at all levels, and understanding technical details quickly. You will possess a strong attention to detail, and a reputation as someone who focuses on the customer, brings simplified solutions to complex problems in a technical environment, and does what they say they will do. You must be comfortable operating in a fluid, agile, and team-oriented environment; bringing order to chaos.
Responsibilities:
- Manage the design, development, and execution of analytical programs that drive data-driven decision-making and enhance operational efficiency, aligning with business goals and metrics governance frameworks.
- Ability to translate business requirements, work with various levels of business and Engineering/ Data Science/Analytics stakeholders to implement solutions in a scalable and consistent way using applicable tools and processes.
- Ensure the data quality and metadata management through creation and execution of programs that focus on the relevance, accuracy, and consistency of data across orgs
- Documentation Maintenance & Evangelization: Create, maintain, and improve technical and functional documentation for data flows, ensuring a clear and shared understanding across all teams. Advocate for data quality best practices through education & continuous support.
- Identify opportunities for improving data definition and processing processes based on thorough analyses.
- Stay informed about the latest trends and technologies in data management and apply them to continuously improve our platform.
- Serve as the primary point of contact for all data enablement related questions, providing ongoing support to business and data science teams.
Basic Qualifications:
- Bachelors or Master’s in Computer Science, Information Systems, Engineering or equivalent
- 10+ years of experience in technical role or product/program management
- Ability to translate goals into technical problems and programs
- Knowledge of system design.
- Willingness to develop domain expertise in the area you operate - TPMs are not expected to write or read code, but are expected to understand system flows, tools and technologies.
- Excellent verbal and written communication; experience effectively communicating and presenting to teams located across different locations and people ranging from individual team members to executives.
Preferred Qualifications:
- Experience in JIRA, Airflow, Confluence and JIRA admin tools.
- 2+ years of experience in data analyst or business analyst role
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
