Description

EXPERIENCE

6-8 Years

DESCRIPTION

Role Overview:

The Engineering Intelligence Lead will be responsible for leading the onboarding, configuration, and operationalization of engineering intelligence platforms, specifically Jellyfish, to provide comprehensive visibility into the delivery lifecycle and work orchestration. This role focuses on enabling data-driven decision-making by tracking engineering productivity, work throughput, cycle time, and identifying delivery bottlenecks and inefficiencies.

Key Responsibilities:

• Lead the onboarding, configuration, and operationalization of the Jellyfish platform.
• Provide end-to-end visibility into the delivery lifecycle and work orchestration.
• Enable tracking of engineering productivity, work throughput, cycle time, and delivery bottlenecks.
• Integrate Jellyfish with essential SDLC tools such as Azure DevOps (ADO), GitHub, and Jira.
• Design and implement reporting dashboards for leadership visibility and delivery governance.
• Collaborate effectively with AI DLC (Delivery Lifecycle) teams and App Ops / Observability teams.
• Support the scaling of the tooling ecosystem as additional tools are onboarded.

Required Skills:

• Proven experience with Jellyfish or similar engineering intelligence platforms.
• Strong background in SDLC tools integration, particularly with GitHub, Azure DevOps, and Jira.
• Proficiency in Agile delivery metrics and understanding of the software engineering lifecycle.
• Experience in designing and implementing reporting dashboards and analytics frameworks.
• Demonstrated ability in stakeholder management and direct work with product/engineering teams.
• Exposure to AI/ML development lifecycle (AI DLC).
• Experience in observability and application performance measurement.
• Familiarity with engineering productivity metrics frameworks.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• 6-8 years of relevant experience.

Preferred Skills:

• Experience with AI/ML DLC and observability.
• Familiarity with Digital technologies including Microsoft Azure and GitHub Enterprise

Key Skills

Education

Any Graduate