Technical Product Manager

YipitData

5d•$195,000 - $209,000•Remote

About The Position

YipitData is seeking a Technical Product Manager to shape the evolution of its Central Data Platform. This role involves defining and prioritizing platform capabilities to support scalable, reliable, and reusable data solutions for both internal teams and client-facing products. The Technical PM will collaborate with Product Analysts, Data Engineering, and Business Units to understand business needs, translate them into technical requirements, prioritize platform investments, and drive execution from concept to adoption. Success requires strong product judgment, technical fluency, and the ability to align stakeholders around a shared platform vision.

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.

Nice To Haves

Familiarity with Agile delivery, Jira, Confluence, dbt, Snowflake, Databricks, Airflow, Looker, Tableau, or similar tools.

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.