Director - SAP Analytics/AI Governance

7 days ago


Chennai, Tamil Nadu, India RESOURCE ACCESS MANAGEMENT SOLUTIONS PVT LTD Full time

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.

(ref:hirist.tech)

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