Observability & Engineering Intelligence Lead

Tata Consultancy Services

Minneapolis (MN)

On-site

USD 142,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage
Family Leaves
401K Plan
Certification & Training Reimbursement
Paid Vacation & Holidays
Pet Insurance

Job summary

Tata Consultancy Services in the United States (Minnesota) seeks an engineering delivery leader to onboard and operationalize Jellyfish, enabling end-to-end visibility of delivery lifecycle. You will track productivity metrics, bottlenecks, and throughput while integrating with GitHub, Azure DevOps, and Jira.

The role requires collaboration with AI DLC and Observability teams, plus scaling the tool ecosystem for governance and leadership reporting.

Qualifications

  • Bachelor of Computer Science degree.
  • Experience with Jellyfish or similar engineering intelligence platforms.
  • Experience integrating SDLC tools with GitHub, Azure DevOps, Jira.
  • Ability to design dashboards for leadership and governance.
  • Strong stakeholder management skills.

Responsibilities

  • Lead onboarding, configuration, and operationalization of Jellyfish; provide visibility into delivery lifecycle.
  • Enable tracking of productivity, throughput, cycle time, bottlenecks; integrate with ADO, GitHub, and Jira; design dashboards for leadership and governance.
  • Collaborate with AI DLC and App Ops/Observability teams; support tool ecosystem scaling.

Skills

Jellyfish platform
Stakeholder management
Agile metrics
Software lifecycle
Dashboards & analytics
Delivery orchestration

Education

Bachelor of Computer Science

Tools

GitHub
Azure DevOps
Jira
Jellyfish

Job description

Tata Consultancy Services in the United States (Minnesota) seeks an engineering delivery leader to onboard and operationalize Jellyfish, enabling end-to-end visibility of delivery lifecycle. You will track productivity metrics, bottlenecks, and throughput while integrating with GitHub, Azure DevOps, and Jira.

The role requires collaboration with AI DLC and Observability teams, plus scaling the tool ecosystem for governance and leadership reporting.

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