Technical Project Manager

Location: Denver, CO - Hybrid(3 days onsite, 2 days' work from Home)Experience: 15+ yearsDuration: Full timeRole OverviewThe Technical Product Manager is responsible for driving the vision, strategy, and execution of a data‐driven platform or product. This role serves as the bridge between business stakeholders, data teams, and engineering, ensuring that business needs are translated into scalable, high‐quality technical solutions. The TPM will lead data discovery efforts, perform hands‐on data analysis, shape the product roadmap, and guide development teams with clear requirements and technical direction.Key ResponsibilitiesPerform data discovery and data analysis to support product decisions.Responsible for discovering, profiling, and assessing enterprise data sources to evaluate quality, structure, and readiness for integration into the data platform.Develop clear, detailed product requirements, user stories, acceptance criteria, and success metricsTranslate business requirements into technical requirements and user stories.Provide direction to developers on platform features, integrations, and architecture considerations.Work with stakeholders to define and maintain the product roadmap and priorities.Act as the bridge between business teams and engineering teams to ensure alignment.Drive data-driven product development and ensure successful delivery.Technical SkillsStrong hands‐on experience with data discovery, profiling techniques, and data quality assessment.Strong hands-on understanding of APIs integration into data pipelines, ingestion frameworks, and downstream analytics systemsAbility to perform data analysis using SQL, Python.Strong hands-on experience in Python, Pyspark and big dataUnderstanding of data engineering workflows, ETL/ELT processes, data modeling, APIs, and cloud data platforms.Hands on experience in any cloud platform from data engineering perspectiveExperience working with data platforms, analytics systems, or large-scale data products.Strong grasp of system architecture fundamentals (APIs, microservices, data pipelines, integration patterns).#J-18808-Ljbffr