Head of Data & Analytics (GBSG)

Company Overview

Job Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

We are looking for a Head of Data and Analytics to join our Global Business Solutions Group (GBSG) Canada/LATAM Senior Leadership Team to drive our rapidly growing cloud business, with a passion for building and supporting a high performing organization.

This opportunity is ideal for a proven Data Analytics leader who can lead a broad range of operational functions including strategy, process, and analytics.

The role requires strong commercial and business acumen, strong executive presence, a passion for data-based experimentation and decisions, an ability to both lead and to drive hands-on execution, and a knack for working seamlessly with cross-functional teams in a global company.

Responsibilities

• Builds, leads, and nurtures a team of talented analysts and data scientists focused on identifying critical business insights and data based recommendations for our Small business and Self-Employed group.
• Work across a range of executive stakeholders including Marketing ,Sales, Product and Engineering leads, to deliver data and AI backed strategic recommendations
• Build and refine metrics that allow the business to measure success against priorities and business vision
• Have a holistic understanding across the business in order to prioritize the analytics team to continuously focus on the biggest bets
• Apply artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities
• Roles-model “win-together” while challenging status quo and driving changes across teams regardless of organizational structure

Qualifications

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics, etc.) or equivalent experience
• 8+ years of experience in a data analytics and/or data science role
• Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, causal inference, and natural language processing.Strategic thinker, flexible problem solver, great listener and team orientation
• Experience managing data analysts and data scientists across a range of functions
• Outstanding verbal and written communication skills including executive level presentations
• Expert understanding of experimentation methodologies and approaches (AB testing, MAB, Bayesian etc,)
• High level proficiency with SQL, Python, R