Senior Data Governance & Responsible AI Leader

Accenture PLC

Midrand

On-site

ZAR 1,200,000 - 1,900,000

Full time

14 days+

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Job summary

Accenture PLC is seeking a senior leader to guide enterprise data governance and Responsible AI governance across programs, ensuring data and AI solutions are delivered at scale with strong data retention, ownership, quality, privacy, and auditability.

You will mentor teams, drive governance adoption, and shape scalable governance practices across multi-national programs, aligning with business outcomes and regulatory requirements.

Qualifications

  • Experience delivering enterprise data governance strategies and operating models.
  • Proven ability to apply Responsible AI governance concepts (risk, controls, documentation).
  • Strong understanding of privacy, security, and regulatory compliance for data & AI deployments.
  • Leadership across portfolio/program governance and influence with stakeholders.
  • Ability to translate governance requirements into scalable delivery practices.

Responsibilities

  • Lead data governance strategy and operating model.
  • Oversee data stewardship and portfolio governance across domains.
  • Ensure compliance, privacy, and security across data & AI lifecycles.
  • Own enterprise Responsible AI governance with risk controls and auditability.
  • Drive scalable data/AI architecture governance and integration into delivery lifecycles.
  • Mentor teams and develop governance capabilities.
  • Lead development of RFP responses and coordinate contributions.

Skills

Enterprise data governance
Responsible AI governance
Compliance, privacy & security
Leadership
Scalable delivery
Cross-functional teams

Job description

Accenture PLC is seeking a senior leader to guide enterprise data governance and Responsible AI governance across programs, ensuring data and AI solutions are delivered at scale with strong data retention, ownership, quality, privacy, and auditability.

You will mentor teams, drive governance adoption, and shape scalable governance practices across multi-national programs, aligning with business outcomes and regulatory requirements.

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