Technical Product Manager

YipitData is the leading market research and analytics firm for the disruptive economy. They are seeking a Technical Product Manager to shape the evolution of their Central Data Platform, defining and prioritizing platform capabilities that enable scalable and reliable data solutions.

Responsibilities:

• Own the Central Data Platform Roadmap
• Define and prioritize the roadmap for Central Data Platform capabilities
• Identify opportunities to centralize, standardize, and productize data capabilities across the business
• Balance competing priorities, tradeoffs, and technical constraints to maximize business value
• Communicate roadmap decisions, priorities, and delivery progress to stakeholders
• Define Product Requirements
• Translate business problems and analyst needs into clear product requirements
• Create user stories, acceptance criteria, rollout plans, and success metrics
• Ensure requirements balance scalability, maintainability, performance, and speed to delivery
• Partner with engineering to ensure solutions accurately reflect business logic and technical requirements
• Lead Cross-Functional Execution
• Partner with Product Analysts, Data Engineering, and Business Units throughout the product lifecycle
• Align stakeholders on priorities, timelines, dependencies, and delivery plans
• Identify risks, remove blockers, and drive execution across multiple teams
• Create transparency around delivery status and platform capabilities
• Drive Platform Adoption and Continuous Improvement
• Partner with teams to validate functionality, data quality, and successful releases
• Measure adoption and business impact of platform capabilities
• Identify opportunities to simplify workflows, improve data quality, and increase reuse of platform investments
• Incorporate user feedback and performance metrics into future roadmap decisions

Requirements:

• 5+ years of experience in Technical Product Management, Product Management, Data Product Management, Technical Program Management, Data Engineering, Data Analytics, or a related field
• Experience with central data platforms, data infrastructure, data products, or enterprise analytics platforms
• Familiarity with SQL, data modeling, ETL/ELT workflows, APIs, cloud platforms, or modern data tooling
• Experience supporting customer-facing data products or business-unit-specific analytics use cases
• Background working closely with Product Analysts, Data Engineering, or Business Unit stakeholders
• Experience improving data governance, reusability, auditability, or platform adoption
• Familiarity with Agile delivery, Jira, Confluence, dbt, Snowflake, Databricks, Airflow, Looker, Tableau, or similar tools