About the team

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The Tech Talent Development team creates learning experiences that build clarity, capability, and confidence across Product, Engineering, Marketing, and Design (PEMD). As we grow programs in onboarding, AI enablement, and leadership development, we’re seeking a partner who can measure what truly matters—how learning translates into behavior change and business impact.In this role, you’ll evaluate whether our learning experiences drive the desired outcomes, identify areas for improvement, and guide data-informed decisions. You’ll define key learning metrics, analyze behavioral and performance data, and translate insights into action—helping leaders understand what’s working, what isn’t, and where to invest to maximize growth and performance.

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About the role

What You’ll Do

• Partner with the Tech Talent Development team to define what and how we measure the impact across onboarding, manager development, and AI enablement initiatives
• Collaborate with our People Analytics team to align on metrics, share insights, and tell cohesive data stories
• Work with technical leaders to measure productivity, quality, and operational outcomes that reflect enablement and business impact.
• Partner with data engineers to enhance dashboards and reports that visualize workforce trends, especially around Enablement and AI adoption.
• Create and maintain data products that inform monthly and quarterly business reviews, ensuring leaders have clear, actionable insights.
• Build lightweight dashboards and scorecards to show adoption, engagement, and behavioral change over time
• Define and monitor key success metrics for priority programs (e.g. time-to-ramp, manager feedback quality, AI adoption)
• Triangulate signals from surveys, performance, attrition, and feedback loops to identify patterns and opportunities
• Translate insights into clear, actionable stories for program leads and org stakeholders
• Support quarterly reviews and calibration with clean data-driven insights that highlight  program effectiveness
• Promote data-informed practices across PEMD, empowering leaders to coach, measure, and drive team performance.

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This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

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Who you are

• You’re curious, data-savvy, and obsessed with asking: Did this actually make a difference?
• You spot patterns in messy data and turning them into clean, actionable insights
• You’re leaning into technology, specifically AI, to think differently about how you operate, gather and interpret data, and make recommendations.
• You’re a builder; curious, innovative, and eager to experiment and to test new ideas
• You manage projects end-to-end from framing the problem to delivering insights and driving adoption
• You collaborate seamlessly with technical leads, HRBPs, and People Analytics to connect learning to outcomes.
• You blend quantitative and qualitative approaches to uncover meaningful insights
• You creatively draw from diverse data sources—surveys, document metadata, meeting transcripts, and more—to tell a complete story.
  

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What You Bring

• 3+ years experience designing/analyzing programs for measurable behavior change, including expertise in analytics, applied behavioral science, or people analytics
• Hands-on proficiency in SQL, Python, and visualization tools like Tableau
• Familiarity with statistical methods, including exploratory data analysis, descriptive and inferential statistics, and A/B testing frameworks
• Familiarity with Databricks is a plus
• Support experimentation and A/B testing where applicable—particularly for new onboarding formats or AI adoption programs
• Translate learning goals into measurable hypotheses, and partner with program leads to embed data collection into program design
• Proficiency in tools like Excel/Sheets and survey platforms (e.g., Qualtrics)
• Proficiency leveraging AI to guide analysis
• Strong storytelling skills—you can distill data into clear takeaways and recommendations
• Familiarity with learning effectiveness frameworks is a plus, but not required
• Ability to balance detail with speed—delivering insights that are “good enough to take action” vs. waiting for perfection
• A collaborative, low-ego mindset and a high bar for quality

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