Sr. Technical Program Manager - Data Science & Analytics
CourseraJob Summary
We are seeking a Senior Technical Program Manager to lead high-impact programs within the Data Science & ML organization. The role involves defining strategies and executing data enablement programs end-to-end, ensuring cross-functional collaboration for long-term success in areas like data standardization and stewardship. Key responsibilities include managing analytical programs, translating business requirements into scalable solutions, maintaining documentation, and advocating for data quality practices. Candidates should have a strong background in technical roles or program management with excellent communication skills.
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
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