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Job Description

Job Title : Head of Data and AI

About the Role :


Establish data governance and create a practical roadmap for analytics and AI that improves operational efficiency, project performance, and executive visibility across the group.

Working Days : Monday to Fridays

Job Timing : Day Shift

Position : Head of Data and AI

Qualification : Bachelors degree

Number of posts : 01

Location : Chennai, India

Travel : Based in India with travel to KSA up to 25 percent to align with business leaders and data owners.

Job Type : Full Time

Gender : Male/Female

Interview process : Online

Salary : As per industry standards or as per current CTC

Previous Work Experience : 12 to 15 years in data, analytics, and AI leadership roles.

Key Responsibilities :

- Define data governance model including ownership, stewardship, definitions, and access controls.

- Create an enterprise KPI library and executive dashboards aligned to group priorities.

- Lead the data platform roadmap including integration with ERP, project systems, and field data sources.

- Identify and prioritize analytics and AI use cases with measurable benefits and clear data readiness.

- Define responsible AI governance including model approval, monitoring, and risk controls.

- Build a small core team and partner ecosystem to execute the roadmap pragmatically.

Preferred Candidate Profile :

- 12-15 years of experience in data, analytics, and AI leadership roles.

- Proven experience building enterprise-scale data governance and reporting frameworks.

- Strong ability to translate business challenges into data and AI-driven solutions.

- Experience managing cross-functional stakeholders and driving enterprise transformation initiatives.

- Sound understanding of security, privacy, and compliance considerations related to data and AI.

Skills :

- Experience building data governance and enterprise reporting at scale.

- Strong stakeholder management and ability to translate business problems into data products.

- Understanding of security and privacy considerations in data and AI.

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