3 Resource Access Management Solutions Pvt. Ltd. Jobs
15-20 years
Director - SAP Analytics/AI Governance (15-20 yrs)
Resource Access Management Solutions Pvt. Ltd.
posted 10d ago
Key skills for the job
Job Title : SAP Analytics and AI Governance Delivery Director
Exp : 15+ years
Location : Chennai
Job Description :
As the SAP Analytics and AI Governance Lead, you will :
- Develop and implement a comprehensive governance framework to ensure responsible use of data and AI technologies across the SAP transformation program.
- Supported by Data Offices, Privacy Offices and Security Teams, you will lead efforts to define and enforce policies for analytics and AI/ML applications, maintain analytics quality and integrity, and oversee the lifecycle of reporting frameworks and dashboards using tools like Datasphere, SAP Analytics Cloud and Collibra.
- The role involves ensuring compliance with regulatory and industry standards, managing risks associated with AI/ML deployment, and collaborating with cross-functional teams to ensure transparency, fairness, and accountability in all analytics and AI processes.
- Additionally, you will work with program stakeholders to align governance practices with business objectives, monitor AI/ML models for performance and bias, and drive continuous improvement by staying abreast of emerging trends in analytics, AI, and SAP technologies.
Essential skills, knowledge and experience :
- Knowledge of one or more of: analytics governance, AI/ML governance, data governance,
- Experience digitising and automating processes for one or more of the following: analytics governance, AI/ML governance, data governance,
- Stakeholder engagement skills
- Process design and documentation.
Desirable skills, knowledge and experience :
- Team leadership and building teams,
- Managing outsourced service providers,
- Familiarity with regulatory frameworks (GxP, GPDR, SOX),
- Knowledge of SAP ecosystems, including SAP S/4HANA, SAP Analytics Cloud, SAP Datasphere and Collibra,
- Knowledge of AI technologies, machine learning frameworks, and their practical applications,
- Process digitisation and automation,
- Experience in pharmaceutical, healthcare, or manufacturing industries,
- Knowledge of Agile or hybrid project delivery methodologies.
Functional Areas: Other
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