Technical Project Manager – Data Management Projects
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Project management
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Information Systems, Business, or a related field (or equivalent experience).
- 5+ years of project management experience in data management, data analytics, or software development projects.
- Strong understanding of data management concepts, including data integration, data warehousing, and data visualization.
- Proficiency in agile project management methodologies (e.g., Scrum, Kanban).
- Hands-on experience with tools such as Jira, Confluence, or similar project management platforms.
- Familiarity with technical tools such as Snowflake, DBT, Power BI, or similar.
- Excellent communication, organizational, and problem-solving skills.
Nice to have
- Agile certification (e.g., Certified ScrumMaster, PMI-ACP, or SAFe).
- Experience working in consulting or client-facing roles.
- Technical background in ETL tools, data modeling, or SQL development.
- Familiarity with hybrid project management approaches that blend agile with milestone-based phases.
Full description
About Us
NuView Analytics is a fast-growing consulting firm specializing in data management, analytics, and insights. Our mission is to accelerate insights for our clients, helping them unlock the full potential of their data. We combine technical expertise with agile delivery methods to drive measurable results for our clients across various industries.
Job Overview
We are seeking a Technical Project Manager with a proven track record in managing data management and analytics projects. The ideal candidate will have deep experience in agile practices and a strong technical foundation in data integration, data warehousing, and visualization tools. This role will work closely with cross-functional teams, including data engineers, analysts, and client stakeholders, to ensure successful project delivery.
Key Responsibilities
- Project Planning and Execution: Define project scope, deliverables, and timelines for data-focused initiatives, ensuring alignment with client objectives.
- Agile Practices: Lead sprint planning, daily stand-ups, and retrospectives, fostering an iterative, transparent, and collaborative environment.
- Team Coordination: Collaborate with internal teams (data engineers, analysts, and developers) and client stakeholders to manage expectations and deliverables.
- Risk Management: Identify, track, and mitigate risks to ensure project success and high-quality outcomes.
- Technical Oversight: Understand and provide input on data pipelines, data modeling, ETL processes, and business intelligence reporting tools.
- Stakeholder Communication: Regularly update clients and internal leadership on project status, challenges, and accomplishments.
- Process Improvement: Continuously enhance delivery practices, incorporating lessons learned and industry best practices.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Business, or a related field (or equivalent experience).
- 5+ years of project management experience in data management, data analytics, or software development projects.
- Strong understanding of data management concepts, including data integration, data warehousing, and data visualization.
- Proficiency in agile project management methodologies (e.g., Scrum, Kanban).
- Hands-on experience with tools such as Jira, Confluence, or similar project management platforms.
- Familiarity with technical tools such as Snowflake, DBT, Power BI, or similar.