Overview

　　Come join Intuit's Tech for Intuit (T4I) team as a Sr. Product Manager - Enterprise Data and Analytics. We are an intensely passionate group with a need for action and an expectation that we all are solving for the E2E experience.

　　We at T4i are focused on enabling Intuit workers with the right technology focusing on fueling productivity for our workforce and for achieving strategic business outcomes for all our accelerating functions. Data plays a critical role and as a Senior Data Product Manager you will be responsible to extract critical, untapped and reliable insights from enterprise data.

　　You will be responsible for developing and executing strategies for our enterprise data assets focusing primarily on People and Places Data. You will champion the delivery of clean and reliable data as a core capability within T4i by centrally managing a data maturity and analytics roadmap. You will also pioneer and advocate for clean data and champion data stewardship programs to power Data Products that allow data users to confidently make business decisions through timely insights. You will partner very closely with HR technology and business teams, application engineering and data engineers to understand users' goals and objectives and deliver end to end solutions leveraging the right data technologies tailored for our enterprise needs. By evaluating and integrating complex technologies, you will ensure seamless data processing, enable efficient data integration, and leverage common platform capabilities to create best in-class People data solutions. Your expertise in understanding when and where to integrate such technologies will drive innovation and scalability within our data infrastructure that will be cross-utilized in other enterprise functional areas.

　　What you'll bring

　　7+ years of industry experience, managing, designing and delivering world-class data solutions in HR Data and analytics domainStrong analytical skills and experience with data analysis tools, including AI-powered analytics platforms and SQL databasesEffective communicator - ability to articulate clear messages to team members, stakeholders, and vendors Agility and ability to work in ambiguous situationsAbility to work in a fast-paced environment and manage multiple projects simultaneouslyExperience working with cross-functional teams, including data scientists and engineersKnowledge of agile development methodologies is a plusBachelor's degree required. Concentration in business, marketing, data science or a related field preferred. Equivalent experience will be considered

　　How you will lead

　　Establish data management, and data governance principles for HR DataDrive advanced analytics projects including setting up the vision, design, experimentation and deployment using modern AI/ML and Gen AI technologiesExtract insights from databases using SQL and other query languages to inform product decisionsWork closely with customers, partners, to take a customer-focused approach to strategy and priorities - passion for the customerUse cloud based big data management solutions and services such as S3, Databricks etc.