Job Description
Artificial Intelligence (AI) is looking for an experienced AI Marketing Analytics Practice Head to take ownership of the AI-driven Marketing 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 8 years of progressively senior experience, holding Ph.D (AI), with a demonstrated track record across Natural Language Processing, Cloud Platforms (AWS/GCP/Azure), Python, Statistical Modelling, 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 Coimbatore on a full-time arrangement. Compensation is benchmarked at INR 11.5-61.4 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-driven marketing.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation has historically promoted from within for a majority of its senior and lead openings.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Compensation includes standard statutory benefits along with performance-linked variable pay.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The next logical step from this position is a senior or lead-track role within the same function.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. References may be requested closer to the offer stage rather than at the start of the process.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The package is structured with a fixed component, performance bonus, and standard health coverage. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The successful candidate will bring approximately 8 years of progressively senior experience, holding Ph.D (AI), with a demonstrated track record across Natural Language Processing, Cloud Platforms (AWS/GCP/Azure), Python, Statistical Modelling, 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 Coimbatore on a full-time arrangement. Compensation is benchmarked at INR 11.5-61.4 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-driven marketing.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation has historically promoted from within for a majority of its senior and lead openings.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Compensation includes standard statutory benefits along with performance-linked variable pay.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The next logical step from this position is a senior or lead-track role within the same function.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. References may be requested closer to the offer stage rather than at the start of the process.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. High performers in this role typically move into a broader ownership scope within 18-24 months.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The package is structured with a fixed component, performance bonus, and standard health coverage. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.