Data Governance & Responsible AI Associate Manager

About Accenture Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at  accenture.com As a  CL8 Data Governance and Responsible AI  leader, you will guide and operationalise enterprise data governance and AI governance  across programs—ensuring that data and AI solutions are delivered at scale with strong data retention, classification, Ownership, data quality, compliance, privacy/security, and responsible AI  practices. You’ll also lead and mentor teams  and drive governance adoption aligned to business outcomes.

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