Job Description
**Business Intelligence AI Manager – Mid Level** | Chennai | Contract | INR 5.6-31.2 LPA
**About the role:**
- Position within AI for Business Intelligence, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI for Business Intelligence
**What you'll do:**
- Handle core ai for business intelligence activities on a day-to-day basis
- Use AI for Business Intelligence regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- AI for Business Intelligence
- Python
- Machine Learning
- Natural Language Processing
- TensorFlow/PyTorch
- M.Sc (Data Science)
- 4+ years of relevant experience
**Good to know:**
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Learning and certification support is available for tools and frameworks directly relevant to the role.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The next logical step from this position is a senior or lead-track role within the same function. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
**About the role:**
- Position within AI for Business Intelligence, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI for Business Intelligence
**What you'll do:**
- Handle core ai for business intelligence activities on a day-to-day basis
- Use AI for Business Intelligence regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- AI for Business Intelligence
- Python
- Machine Learning
- Natural Language Processing
- TensorFlow/PyTorch
- M.Sc (Data Science)
- 4+ years of relevant experience
**Good to know:**
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Learning and certification support is available for tools and frameworks directly relevant to the role.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The next logical step from this position is a senior or lead-track role within the same function. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.