Data Governance & Responsible AI Associate Manager Job at Accenture

Key responsibilities

Lead data governance strategy & operating model

• Define and drive data governance principles, policies, standards, frameworks and controls (including data quality expectations).
• Align governance to business goals and enable a “data-driven culture.”

Establish and oversee data stewardship & portfolio governance

• Provide leadership on governance setup across domains (e.g., ownership, accountability, coordination).
• Embed and Oversee governance processes that ensure consistent decision-making and escalation.

Ensure compliance, privacy, and security across the data & AI lifecycle

• Ensure data is sourced/handled/developed/deployed legally and ethically.
• Support privacy, security, and compliance requirements through governance and enforcement mechanisms.

Own enterprise Responsible AI governance (risk, controls, auditability)

• Govern AI risk, compliance, privacy, and security using formal oversight.
• Ensure documentation, validation/controls, training, and continuous monitoring to keep AI systems safe, compliant, and audit-ready.

Lead scalable solution delivery and data/AI architecture governance

• Influence architecture and delivery approaches so governance is embedded into platform and solution lifecycles.
• Ensure governance is practical and repeatable across programs.
• Enforce data governance practices into Business As Usual activities.

Lead a data culture within different organizations

• Develop, curate, and deliver Data Governance training for data stewards, data custodians, and the broader data community.
• Develop reusable assets that strengthen and support the data governance capability.

Lead the development of RFP responses

• Establish the response structure and define the proposed solution approach for each RFP.
• Coordinate and consolidate contributions from all relevant solution teams.
• Mobilise the appropriate subject-matter experts and delivery teams to support Data Governance RFP responses.

Mentor and develop teams

• Coach specialists and leads; build capability through standards, guidance, and knowledge sharing.

Required skills & competencies

• Strong experience in enterprise data governance (strategy, standards, stewardship, data quality, policy enforcement).
• Proven ability to apply Responsible AI governance concepts (risk/control frameworks, documentation, monitoring).
• Deep understanding of compliance, privacy, and security considerations for data and AI deployments.
• Leadership capability: managing governance at portfolio/program level and influencing stakeholders.
• Ability to translate governance requirements into scalable delivery practices.
• Leading cross functional multinational teams

Typical background (examples—may vary by project)

• Leadership experience in data governance, data management, AI/ML governance, or enterprise risk/compliance for data & AI.
• Cross-functional experience with legal/privacy/security and delivery teams.

Qualification

• Data Science
• Computer Science
• Information Systems
• Information Management
• AI / Machine Learning
• Cybersecurity
• Law / Compliance / Risk Management (if paired with strong data & AI governance experience)