Come join Intuit’s Tech for Intuit (T4I) team as a Principal 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, fueling productivity for our workforce and achieving strategic business outcomes for all our accelerating functions. Data plays a critical role, and as a Principal Product Manager, you will be responsible for extracting 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 Finance 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 closely with Finance 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 Finance 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.
Responsibilities
- Establish data management and data governance principles for Finance Data.
- Drive advanced analytics projects including setting up the vision, design, experimentation, and deployment using modern AI/ML and Gen AI technologies.
- Extract insights from databases using SQL and other query languages to inform product decisions.
- Work closely with customers and partners to take a customer-focused approach to strategy and priorities - passion for the customer.
- Use cloud-based big data management solutions and services such as S3, Databricks, etc.
- Empowered to solve hard problems in the emerging area of Data – customer problems and business problems – in ways that our customers (internal & external) love, yet work for our business.
- Drive execution and delivery by managing dependencies and plans across a wide breadth of different teams.
- Be accountable for results, working through partners and colleagues across organizational boundaries to achieve necessary results.
- This is an individual contributor role. Influence your teammates, colleagues, stakeholders, and key executives through your use of data and logic.
Minimum Requirements
- Customer-centric Product Management DNA; deep customer empathy and curiosity; 7+ years of industry experience managing, designing, and delivering world-class data solutions in Finance Data and analytics domain.
- Strong analytical skills and experience with data analysis tools, including AI-powered analytics platforms and SQL databases.
- Demonstrated ability to define, socialize, and implement a multi-year strategy and roadmap for a Finance data portfolio.
- Strong facilitation and execution skills, including the ability to define and lead complex projects simultaneously; experience operationalizing product plans and communicating results across all levels of leadership, from senior executives to core team members.
- Effective communicator - ability to articulate clear messages to team members, stakeholders, and vendors.
- Agility and ability to work in ambiguous situations.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- Experience working with cross-functional teams, including data scientists and engineers.
- Knowledge of agile development methodologies is a plus.
- Bachelor's degree required. Concentration in business, marketing, data science, or a related field preferred. Equivalent experience will be considered.