About the Role
You are the Product Manager of the Business Intelligence product team in our Enterprise Data & Analytics (EDA) organization, collaborating with Engineering, Design, Analytics, and Site Reliability Engineering (SRE). Together you will evolve data and analytic products and services through the entire product development lifecycle. You bring business context, structured problem solving, and crisp communication to help your team focus on delivering the highest value outcomes for users.
Anchored in lean and user-centered principles, you will help the team discover real user needs, prioritize opportunities, and ship incremental value that improves trust, discoverability, and usability of enterprise data across the organization. This role sits at the core of our journey toward a data native culture, supporting self-service analytics, strong governance, and reliable data operations.
What You'll Do
Manage a balanced team of Business Intelligence and Data Engineers autonomously, delivering features that improve decision making for the end users
Partner with your Product Leader and stakeholders to discover, define, and deliver features in service of a product strategy for a single product
Engage users and stakeholders to identify opportunities, clarify pain points, and facilitate ideation sessions to prioritize solutions
Conduct ongoing discovery to further define valuable problems and deliver features for a well defined domain area
Create backlog stories and product documentation, prioritize tasks, and coordinate feature releases to promote rapid ideation to delivery cycles
Measure impacts, solicit feedback, and make data-informed pivot or persevere decisions to improve current data discovery and decision making experiences
Actively pursue greater fluency in data acumen, business processes, discovery facilitations, and tools to successfully lead a product team in a fast paced environment
Additional related tasks and activities may be assigned
What Skills You Have
Required
Familiarity with the software development lifecycle and experience delivering production quality data products and features
Ability to understand how users analyze data, interpret metrics, and use data to drive decision-making within their business
Natural curiosity about data, systems, and user behavior; eager to learn and become a trusted thought partner to stakeholders and users
Exposure to data platforms and tools (GCP, Airflow, Qlik, Looker)
Strong prioritization and time-management, and problem solving skills to keep teams and workstreams on track
Strong written and verbal communication that simplifies complex information
Preferred
5+ years of experience in product management working on cross-disciplinary product teams
Advanced training or equivalent practical experience in Product Management, Business, MIS, Computer Science, or related fields
Ability to travel 10% of the time