Join Accenture's Technology Strategy & Transformation (TS&T) practice within the Global Network and help organizations unlock the value of data as a strategic enterprise asset. As a Data Strategy & Governance Consultant, you will work with leading organizations across industries to define data strategies, modernize data platforms, strengthen governance frameworks, and enable trusted, secure, and compliant data ecosystems that support business growth and innovation.

In this role, you will collaborate with business and technology stakeholders to drive data transformation initiatives, establish governance operating models, and translate regulatory and business requirements into practical, scalable solutions.

• Assess current-state data landscapes, architecture, operating models, and business requirements to identify opportunities for improvement and innovation.

• Conduct data maturity and platform assessments to evaluate scalability, performance, security, and business alignment.

• Design target-state data architectures, including cloud-native solutions such as data lakehouses, data mesh, and data fabric architectures.

• Develop data modernization roadmaps, migration strategies, and target operating models that support long-term business objectives.

• Partner with data engineering, analytics, architecture, and business teams to translate strategic objectives into executable solutions.

• Support business case development, value realization planning, and stakeholder engagement activities.

• Design and implement enterprise data governance frameworks, including data ownership, stewardship, policies, standards, and operating procedures.

• Define data classification, access management, and governance controls to ensure appropriate handling of sensitive and critical data assets.

• Establish data quality management frameworks, including monitoring processes, quality metrics, dashboards, and remediation workflows.

• Advise stakeholders on data privacy, protection, retention, and security requirements, ensuring alignment with applicable regulations and organizational policies.

• Develop governance mechanisms that support data transparency, accountability, risk management, and digital trust.

• Support the development of AI governance frameworks, responsible AI controls, and data-related model risk management practices.

• Facilitate workshops and engage with business, technology, legal, cybersecurity, and executive stakeholders to define and align data initiatives.

• Contribute to proposals, thought leadership, business development activities, and client presentations.

• Support knowledge sharing and mentoring initiatives within the practice.