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Technical Project Manager
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-01-23
Listing for:
Tata Consultancy Services
Full Time
position Listed on 2026-01-23
Job specializations:
-
IT/Tech
IT Project Manager, Systems Analyst
Job Description & How to Apply Below
Responsibilities
- Take full ownership of the project lifecycle, from initial requirements gathering and planning to final delivery and stakeholder sign-off.
- Manage and prioritize the team's Book of Work (BoW), ensuring alignment with strategic business objectives and clear communication of timelines.
- Lead all Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives, ensuring adherence to Agile best practices.
- Utilize JIRA and Confluence to meticulously track project progress, manage backlogs, and maintain clear, accessible documentation.
- Technical Oversight &
Collaboration:
Leverage a strong understanding of the Big Data Ecosystem (Hadoop, Spark, Hive, HDFS) to facilitate technical discussions and ensure proposed solutions are robust and scalable. - Collaborate closely with Data Architects and Senior Engineers to review technical designs and ensure they align with project requirements and data engineering best practices.
- Use hands-on SQL skills to perform data analysis, validate deliverables, and assist in troubleshooting data-related issues.
- Coordination & Stakeholder Management:
Serve as the primary point of contact for all project-related communications, ensuring seamless coordination between the development team, QA, business analysts, and external stakeholders. - Proactively identify and mitigate risks, manage dependencies, and resolve blockers to ensure smooth project execution.
- Provide regular, clear, and concise status reports to leadership and stakeholders.
- Must Have Technical/Functional Skills
- Key Responsibilities
- 1. Project & Delivery Management:
Take full ownership of the project lifecycle, from initial requirements gathering and planning to final delivery and stakeholder sign-off. - Manage and prioritize the team's Book of Work (BoW), ensuring alignment with strategic business objectives and clear communication of timelines.
- Lead all Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives, ensuring adherence to Agile best practices.
- Utilize JIRA and Confluence to meticulously track project progress, manage backlogs, and maintain clear, accessible documentation.
- Technical Oversight &
Collaboration:
Leverage a strong understanding of the Big Data Ecosystem (Hadoop, Spark, Hive, HDFS) to facilitate technical discussions and ensure proposed solutions are robust and scalable. - Collaborate closely with Data Architects and Senior Engineers to review technical designs and ensure they align with project requirements and data engineering best practices.
- Use hands-on SQL skills to perform data analysis, validate deliverables, and assist in troubleshooting data-related issues.
- Coordination & Stakeholder Management:
Serve as the primary point of contact for all project-related communications, ensuring seamless coordination between the development team, QA, business analysts, and external stakeholders. - Proactively identify and mitigate risks, manage dependencies, and resolve blockers to ensure smooth project execution.
- Provide regular, clear, and concise status reports to leadership and stakeholders.
Qualifications & Skills
- Proven experience as a Technical Project Manager or a similar role within a Big Data Engineering environment.
- Expert-level understanding of Agile/Scrum methodologies and extensive hands-on experience managing projects using JIRA.
- Demonstrated ability to manage a complex Book of Work, including prioritization, resource planning, and dependency management.
- Strong comprehension of the Hadoop ecosystem and its core components (e.g., HDFS, Spark, Hive, Map Reduce).
- Hands-on proficiency with SQL for complex data querying, analysis, and validation is mandatory.
- Exceptional coordination, tracking, and communication skills.
- A technical background as a Data Engineer, Developer, or Data Analyst.
- Experience with cloud-based data platforms (e.g., Databricks, Snowflake, AWS, Azure).
- Familiarity with CI/CD pipelines and Dev Ops principles.
- Relevant certifications (e.g., PMP, Certified Scrum Master).
Salary Range: $110,000 to $130,000 per year
QualificationsBACHELOR OF COMPUTER SCIENCE
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