What are the responsibilities and job description for the Data Product Owner position at NCSACorporateCareers?
Position Overview
The Data Product Owner is responsible for partnering cross-functionally across the organization to understand business goals and requirements to support data driven decision-making. The individual will own the intake, prioritization, requirements definition, acceptance criteria and stakeholder communication for the Campus Data Team. Working closely with the Data Engineering, Data Science, Analytics and Enterprise Systems teams, the Data Product Owner both makes use of and provides ongoing recommendations for improving the company’s platform components for data collection, aggregation, processing, storage, and visualization. The position serves as an internal thought leader for decision-making around the campus business, serving as subject matter expert for senior management, operational leaders, and the Technology team.
Candidates should have experience leading analytics initiatives, sustaining mission-critical reporting and insights delivery. They should be very comfortable providing insights to business leaders using descriptive, diagnostic, and predictive analytics. They should demonstrate a rigorous scientific approach, using experimental methods to test hypotheses across multiple data sets using peer-reviewed statistical methods to ensure optimal business performance. Above all else, they should be a servant leader who understands their primary role to be supporting and enabling their team by maintaining a healthy, supportive culture.
Position Responsibilities:
Foster a user-centric, product mindset among the Campus Data Team members.
Develop and maintain increasing awareness of the business context and dynamics surrounding each of the company’s business units, their products and services, the data they generate and the relationships between them.
Partner with leadership across Marketing, Sales, Operations, Customer Experience, Product and Technology to solicit business requirements and prioritize analytics delivery
Define, scope, plan and schedule data and analytics initiatives and dependencies in collaboration with analysts, data engineers, and data scientists.
Lead and/or coordinate with data analysts, data engineers and database administrators from the initial discovery and design stages of new initiatives all the way through implementation and operationalization
Ensure strong cross-functional communication and collaboration between business partners, analysts, and the data engineering team.
Partner with other team members to identify and address limitations in data sources, data quality, tooling, or performance bottlenecks in analytics delivery.
Use data processing, querying and analysis tools to answer business questions and provide actionable insights.
Use visualization tools to communicate stories with data, creating reporting, dashboards, KPI monitoring and self-service tools to make data and insights available for stakeholders.
Seek opportunities to perform 'data pioneering' for identifying new opportunities for analysis and insight generation while maintaining focus on reusability across domains.
Knowledge, Skills and Abilities:
5 years' data analytics experience in a fast-paced commercial or scientific setting.
Thrives cross-functionally in situations requiring collaboration, negotiation, and communication of complex analyses to non-technical or senior management audiences.
Exposure to Agile Development or the Scrum project management methodology a plus.
Strong data process definition and refinement skills, with an instinctive understanding for identifying areas of opportunity or challenge and methods for providing a clear analysis.
Hands-on experience building custom visualizations in Tableau.
Advanced experience with Excel.
Experience with modern data warehouse tools like Snowflake.
Excellent visual, verbal, and textual communication and presentation skills, extremely strong skills for using data to tell stories, especially counter-intuitive or controversial ones.
Highly self-motivated, self-directed, resourceful, and autonomous; capable of managing multiple simultaneous deliverables with proactive status updates and requests for support.
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