Director, Product Analytics

What you get to do in this role:Drive Product Analytics and Insights roadmap for the company. Provide thought leadership in the area of Product Analytics spanning analytics to improve UX for users/personas to customer level analyticsDesign, build and support the Product Analytics products by assimilating signals from multiple sources and present the information in a user-friendly way to the stakeholders: Product, Solution Sales and Industries organization, cross functional users across the company, and the leadership team.Partner with Product leaders, Business Operations, FP&A and other stakeholders to envision the best product analytics products, alerting capabilities and the interfaces.Develop and deliver unique insights about the Product portfolio, layering in GTM and Customer insights, through qualitative and quantitative research.Scale expertise and use of product usage data in decision making across the customer & product lifecycle. Collaborate with upstream providers and downstream consumers of telemetry data & models to maximize utility and effectiveness of product usage data.Bring the promise of data science and machine learning to reality for the PSSI org, increasing decision effectiveness and speed.Develop and nurture a best-in-class team for the exploitation of data, using cloud and social era tools and techniques for data analytics, mining and visualization. Build multiple successors and a team that meets the business needs of the future.Partner with peer leaders in the Analytics organization (Sales Analytics, Customer Analytics, Finance Analytics, Marketing Analytics and Talent Analytics) to develop and deliver cohesive Analytics  to the company and connect all relevant consumers with the right data, predictions and prescriptions.Drive & increase the adoption of Product Analytics products amongst the user community, increase the product satisfaction and the impact of all Analytics products.Desired Outcomes:Create Product Analytics products with maximum adoption from the stakeholders (measured by reach and frequency), user satisfaction, and business impact.Drive cultural change and elevate the use of analytics and AI/ML to accelerate and improve quality of decision making by business functions.