AI Engineering Intelligence Lead

Job description

Must Have Technical/Functional Skills

• Strong experience with Jellyfish or similar engineering intelligence platforms
• Experience with SDLC tools integration (GitHub, ADO, Jira)
• Understanding of:
• Agile delivery metrics
• Software engineering lifecycle
• Experience building reporting dashboards and analytics frameworks
• Strong stakeholder management skills

Roles & Responsibilities

• Lead onboarding, configuration, and operationalization of Jellyfish platform
• Provide end-to-end visibility into delivery lifecycle and work orchestration
• Enable tracking of:
• Engineering productivity
• Work throughput and cycle time
• Delivery bottlenecks and inefficiencies
• Integrate Jellyfish with tools such as:
• Azure DevOps (ADO), GitHub, Jira (future target)
• Design dashboards and reporting for:
• Leadership visibility
• Delivery governance
• Collaborate with: o AI DLC teams
• App Ops / Observability teams
• Enable data-driven decision making for engineering leadership
• Support scaling of the tooling ecosystem as additional tools are onboarded Salary Range: $120,000- 135,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive.

Comprehensive Medical Coverage

Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support

Maternal & Parental Leaves.

Insurance Options

Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth

Commuter Benefits & Certification & amp; Training Reimbursement.

Time Off

Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance

Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

Qualifications

BACHELOR OF COMPUTER SCIENCE