Senior Data Product Manager

Role Description

At 2U, Data Product Management ensures that team efforts are aligned with the Data Team’s mission of making data 2U’s most valuable asset, by delivering and developing critical data products that are accessible, actionable, and impactful. This role executes on business strategy through effective prioritization, documentation, communication, and leadership - specifically by bringing clarity and order to complex or ambiguous requirements. Focusing specifically on the Data Products surrounding 2U’s consumer brand: edX.org, you will collaborate cross-functionally with peers and leaders to ensure vision alignment, and deliver data tools and products that empower internal teams to make smarter, faster, and more informed decisions throughout the entire data lifecycle, from data ingestion to business-facing reporting.

Responsibilities Include, But Are Not Limited To:

• Serves as the owner of the data product roadmap, translating company goals and strategy into clear, data-driven product initiatives.
• Deeply understands internal stakeholder needs, pain points, and opportunities, conducting thorough discovery to define compelling data products that solve real business problems.
• Drives the execution of all processes in the product life cycle, including product and market research, analysis, planning, requirements and roadmap development, product launch and ongoing management.
• Leads collaboration with a cross-functional team of data engineers, analytics engineers, BI developers, and data scientists, driving the execution of team priorities and successful product releases.
• Sets and tracks team- and project-based success metrics and utilizes data to quantify impact of initiatives and inform product priorities.
• Champions the adoption of data products by ensuring stakeholders understand how to leverage them for maximum impact and by developing user feedback loops through interviews, surveys, and other methods, for continuous improvement.
• Author product planning documents with feedback from manager as required to clearly outline the business context, define success metrics, capture user feedback, and forecast measurable business impact.
• Utilizes industry and customer research, as well as software familiarity, to develop expertise in their domain.
• Proven ability to navigate ambiguity and maintain productivity in a constantly evolving environment.

Qualifications

• 5-8 years of Product Management experience or as a customer forward Data Engineer/Analyst.
• Experience building and owning a product roadmap, a focus on Data Assets/Products is desired.
• Experience with data analysis, data products and tools in the modern data stack (such as Snowflake, Sigma, Tableau, dbt, Fivetran). Comfort in intermediate level SQL and Tableau is a plus.
• Domain specific knowledge in one or more of the following: Product Analytics/Measurement, B2C eCommerce, and/or Marketing Attribution.
• Experience with measurement and execution of A/B testing in high volume consumer website.
• Structured and data-driven thinking with a strong bias to action.
• Excellent communication and cross-functional leadership skills.
• Experience with agile software development.
• Deep technical acumen, capable of understanding complex data architectures, systems, and their underlying technologies.

Benefits

• Comprehensive benefits (unique per country) and excellent work/life balance.
• Full-time, U.S. benefits include:
• Medical, dental, and vision coverage.
• Life insurance, disability, and 401(k) employer match.
• Free snacks and drinks in-office.
• Generous paid holidays and leave policies, including unlimited PTO.
• Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break.
• The anticipated base salary range for this role is ($111,000 - $163,300), with potential bonus eligibility. Salary offers are made based on the candidate’s qualifications, experience, skills, and education as they directly relate to the requirements of the position, budget for the position and cost of labor in the market in which the candidate will be hired.