Gather data product requirements and convert it into solution design in partnership with technology teams considering the current state and future state architecture. Ensure current needs are being met while the future is being defined.
Work with solution management team to identify and analyze the data needs across different journeys
Define the data flow across systems along with integration patterns
Develop and maintain conceptual and logical data models
Define the data consumption principals and architecture
Define design patterns for complex data structures
Coordinate with the PMs and DS teams to assess future needs and requirements, and sync up with respective Share Service/API owners
Focus on data storage/persistence, data models, data access patterns, data flows and data compute patterns as part of data solutioning.
Socialize and align the data solution with different stakeholders and risk leaders
Articulate a long-term software product strategy and roadmap with clearly defined business metrics and outcomes for real-time data capabilities
Define Data Product foundational capabilities requirements in partnership with key stakeholders demonstrating high level of thought leadership and inclusive leadership.
Understand competitive best practices, external trends and integrate them into software product strategies.
Enable data and analytics-driven decision making to evolve products and usage.
Provide strong leadership to address complex business problems in unknown/ambiguous situation.