Title of Position: Technical Product Manager
Location: Denver, CO – Hybrid (3 days onsite, 2 days’ remote)
Duration: Full Time
Employment: Permanent Opportunity
Salary: $Negotiable
Job Description:
A person needs to start his career as a Data engineer and then move to Technical Project Manager/ Technical Product Manager. they should have strong experience in Data Management, handling a technical data management team, data pipelines, ingestion frameworks, Python, Pyspark and big data and data engineering workflows and ETL/ELT processes, data modeling, APIs, and cloud data platforms and Data Architecture. And must have experience on Cards/payments on banking or financial clients.
Role Overview
The 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 Responsibilities
· Perform 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 metrics
· Translate 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 Skills
· Strong 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 systems
· Ability to perform data analysis using SQL, Python.
· Strong hands-on experience in Python, Pyspark and big data
· Understanding of data engineering workflows, ETL/ELT processes, data modeling, APIs, and cloud data platforms.
· Hands on experience in any cloud platform from data engineering perspective
· Experience working with data platforms, analytics systems, or large-scale data products.
· Strong grasp of system architecture fundamentals (APIs, microservices, data pipelines, integration patterns).
About Arthur Grand
Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results.
We are a minority-owned staff augmentation and technology consulting company
To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration
If you are interested in the above opportunity, we warmly invite you to join our team.
Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets)
Never miss an opportunity! Create an alert based on the job you applied for.
