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Technical Project Manager

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    IT Project Manager, Systems Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 130000 USD Yearly USD 110000.00 130000.00 YEAR
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.
Job Description
  • 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.
Required:

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.
Preferred Qualifications
  • 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

Salary Range: $110,000 to $130,000 per year

Qualifications

BACHELOR OF COMPUTER SCIENCE

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