Sr. Technical Program Manager

Sr. Technical Program Manager 1747-1

• Hourly pay: $70-$80/hr
• Worksite: Leading music streaming company (Lawrenceville, NJ - Hybrid, Open to remote candidates in the United States, Must work Eastern Time office hours, Candidates located in Lawrenceville are preferred)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
• 40 hours/week, 6 Month Assignment, Possible extension

A leading music streaming company is seeking a Sr. Technical Program Manager. The successful candidate will serve as a force multiplier for the data engineering teams that build these data sets through their expertise
in communication, planning, and program management.

Sr. Technical Program Manager Responsibilities:

• Work collaboratively with cross-functional teams and other Technical Project Managers to support Data development delivery.
• Support the Data Org’s the work-intake triage process to ensure new requests are addressed in accordance with SLAs.
• Track and report team velocity and manage Sprint capacity and ensure the team is working efficiently towards delivery goals.
• Organize and facilitate daily stand-up meetings, sprint and release planning, backlog grooming and refinement sessions, sprint demos, retrospectives and other process meetings.
• Coach the development team and stakeholders on following Data Org processes and practices and ensure they are effectively implementing them.

Sr. Technical Program Manager Qualifications:

• 5+ years of experience in a Technical PM or Scrum Master role, ideally having experience working in a technically challenging and complex environment.
• Bachelor’s degree in Information Systems, BI or Analytics, or Software Engineering.
• Experience in simultaneously assisting multiple Scrum teams distributed globally.
• Expertise in Jira and Confluence, ideally with proficiency in advanced add-ins such as ALM Works Structure.
• Experience supporting a cloud-based Technical data environment.
• Excellent communication skills with the ability to set informed delivery expectations based on complexity and team capacity and understand/communicate technical issues.
• Experience working with enterprise data platforms, such as Databricks or Snowflake, and proficiency with using SQL to query large data sets.
• Familiarity with GitHub.

Shift:

• 9 am- 6 pm, Eastern Time office hours.

#PP