Job Description
**AI Strategic Programs Head** | Indore | Full-time | INR 53.2-94.4 LPA
**About the role:**
- Position within AI Strategy & Consulting, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Strategy & Consulting
**What you'll do:**
- Handle core ai strategy & consulting activities on a day-to-day basis
- Use Machine Learning 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:**
- Machine Learning
- Natural Language Processing
- Consulting
- Deep Learning
- Computer Vision
- Model Deployment (MLOps)
- Python
- AI Strategy
- M.Tech (AI/ML)
- 8+ years of relevant experience
**Good to know:**
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Compensation includes standard statutory benefits along with performance-linked variable pay.
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. Learning and certification support is available for tools and frameworks directly relevant to the role.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
**About the role:**
- Position within AI Strategy & Consulting, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Strategy & Consulting
**What you'll do:**
- Handle core ai strategy & consulting activities on a day-to-day basis
- Use Machine Learning 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:**
- Machine Learning
- Natural Language Processing
- Consulting
- Deep Learning
- Computer Vision
- Model Deployment (MLOps)
- Python
- AI Strategy
- M.Tech (AI/ML)
- 8+ years of relevant experience
**Good to know:**
- Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Compensation includes standard statutory benefits along with performance-linked variable pay.
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
- Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. References may be requested closer to the offer stage rather than at the start of the process.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. Learning and certification support is available for tools and frameworks directly relevant to the role.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.