onsite
AI Engineering Intelligence Lead - Tata Consultancy Services (TCS)
Software Engineer
Lead the deployment and optimization of the Jellyfish engineering intelligence platform, integrating SDLC tools, delivering actionable analytics, and driving end‑to‑end visibility into delivery performance for cross‑functional teams.
About the role
Key Responsibilities
- Lead onboarding, configuration, and operationalization of the Jellyfish platform across engineering teams.
- Integrate Jellyfish with SDLC tools such as GitHub, Azure DevOps, and Jira to capture real‑time delivery data.
- Build and maintain reporting dashboards and analytics frameworks that track engineering productivity, throughput, cycle time, and bottlenecks.
- Provide end‑to‑end visibility into the delivery lifecycle, enabling data‑driven decision making and continuous improvement.
- Collaborate with product, engineering, and delivery leaders to define and refine Agile delivery metrics.
- Manage stakeholder expectations, communicate insights, and drive cross‑functional alignment on improvement initiatives.
Requirements
- Proven experience with Jellyfish or a comparable engineering intelligence platform.
- Strong background in integrating SDLC tools (GitHub, Azure DevOps, Jira) and building analytics dashboards.
- Deep understanding of Agile delivery metrics and the software engineering lifecycle.
- Excellent stakeholder management and communication skills.
- Ability to translate complex data into actionable insights for technical and non‑technical audiences.