Define team roadmap and prioritization, coordinate resources, provide technical leadership in-line with the long-term objectives, support and develop the team through mentorship and ongoing feedback.
Provide investigative thought leadership through proactive and strategic contributions, consistently use insights and analytics to guide decisions and alignment throughout the organization.
Define product success metrics and provide problem-solving Point of View (PoV) in various performance/strategic reviews. Synthesize insights across multiple investigative projects to provide investigative recommendations to influence and manage the development of overall, long-term product development strategies.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Anticipate and proactively address investigative challenges as a trusted authority and critical domain expert. Separately conduct problem framing through to impact problem-solving, including analysis and business cases.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with an advanced degree.
3 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience in identifying opportunities for business/product improvement, defining/measuring the success of those initiatives, and effectively collaborating with Cross-functional (xFN), Cross-Product Area (xPA) teams.
Experience in one or more of these methods, such as statistical and causal inference, classification methods.
Experience in developing ML models, innovative methods, analysis and approaches.
Experience in e-commerce.
Strong communication and presentation skills to deliver findings of analysis.
