Senior Technical Program Manager, Data

Summary

Join Khan Academy's Data Insights Group (DIG) as a Senior Technical Program Manager, Data! Lead the planning and coordination of complex data initiatives, aligning multiple engineering teams to enhance DIG's efficiency and impact. Translate data initiatives into actionable requirements, facilitate cross-team data alignment, monitor product changes and mitigate data risks, and develop and optimize data processes. Leverage your technical background and program management expertise to empower DIG to better understand user needs and measure product efficacy. Contribute to Khan Academy's mission of providing free, world-class education globally. This role requires significant experience in technical program management and a strong technical background. Khan Academy offers competitive salaries, ample paid time off, a remote-first culture, generous parental leave, and comprehensive benefits.

Requirements

• 8+ years of experience as a Technical Program Manager, successfully leading big data-focused programs (or multiple projects) from inception to execution
• Technical background in software development, data engineering, or analytics. We do not expect you to apply the technical skills of a software engineer or data scientist. However, having prior experience in a technical role is necessary to be effective, make informed decisions, and collaborate effectively with technical teams
• Proficient in program/project management tools (e.g., JIRA, Confluence, Gantt charts, spreadsheets, presentations, etc.); comfortable collaborating in an online/cloud-based environment (e.g., Google Workspace, Slack, etc.)
• Excellent interpersonal and communication skills to build relationships and influence across multiple levels of the organization comprised of technical and non-technical individuals. You are the kind of person who can't help but get in there and listen deeply and help bridge information gaps between teams by asking deep questions about the data models and pulling out each teams ideas to share with each other
• Excellent organization skills, acute attention to detail, and ability to balance multiple tasks in an ever-changing environment
• The ability to think creatively and use data to solve ambiguous and complex problems
• Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere."
• Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization

Responsibilities

• Translate Data Initiatives into Actionable Requirements – Work with Data Analysts, Data Scientists, and Efficacy & Research Scientists to translate analytic/research asks into data requirements for high-priority, complex, and large in-scope data initiatives. You will then coordinate with Analytics Engineering to bridge and translate this work by facilitating discussions so that Analytics Engineering can define and build the data solution
• Facilitate Cross-Team Data Alignment – Partner with engineering and DIG to deeply understand and communicate fit-for-purpose data requirements. Bridge gaps between teams by surfacing key insights, resolving misalignment, and ensuring data needs are well understood. Use your technical expertise, product mindset, and prioritization skills to influence decisions, drive consensus, and keep data initiatives aligned with strategic priorities
• Monitor Product Changes & Mitigate Data Risks – Stay informed about product changes and proactively alert DIG leaders to updates that could impact data interpretation or disrupt data pipelines. Ensure cross-functional teams have the necessary visibility to prevent inconsistencies and maintain data integrity
• Develop & Optimize Data Processes – Collaborate with engineering leadership to design, implement, and refine data-related processes that accelerate and simplify data capturing and validation

Preferred Qualifications

Familiarity with entity-relationship diagrams and basic SQL skills, or willingness to learn, are preferred

Benefits

• Competitive salaries
• Ample paid time off as needed – Your well-being is a priority
• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
• Generous parental leave
• An exceptional team that trusts you and gives you the freedom to do your best
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Opportunities to connect through affinity, ally, and social groups
• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life