Job Description
Artificial Intelligence (AI) is looking for an experienced Director – AI-Driven Business Intelligence to take ownership of the AI for Business Intelligence charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 16 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across AI for Business Intelligence, Statistical Modelling, Python, Machine Learning, Data Preprocessing. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Hybrid - Pune on a full-time arrangement. Compensation is benchmarked at INR 45.9-75.5 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai for business intelligence.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The package is structured with a fixed component, performance bonus, and standard health coverage.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
High performers in this role typically move into a broader ownership scope within 18-24 months. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The successful candidate will bring approximately 16 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across AI for Business Intelligence, Statistical Modelling, Python, Machine Learning, Data Preprocessing. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Hybrid - Pune on a full-time arrangement. Compensation is benchmarked at INR 45.9-75.5 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai for business intelligence.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The package is structured with a fixed component, performance bonus, and standard health coverage.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
High performers in this role typically move into a broader ownership scope within 18-24 months. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.