ABOUT ACCENTURE

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 791,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change. Visit us at www.accenture.com

SKILLS & QUALIFICATIONS

• 10+ years in data transformation, AI/ML delivery, or large-scale technology programs, with a strong focus on AI adoption.
• Proficiency in AI Ops, Machine Learning, Data Ops, and Automation frameworks; experience integrating AI across enterprise systems.
• Strong track record in managing delivery teams, client portfolios, and cross-functional programs.
• Ability to bridge AI innovation with business outcomes; experience in defining adoption roadmaps.
• Excellent client engagement and stakeholder management skills; able to articulate AI-first strategies to senior executives.

• Oversee delivery lifecycles of AI-led programs, embedding automation as a complementary accelerator.
• Lead design and execution of AI-first architectures and solution delivery across AI Ops, ML, Data Ops, and automation frameworks.
• Shape and operationalize Generative AI adoption, driving practical use cases and measurable value for clients.
• Manage client and stakeholder relationships, ensuring expectations are met and value is realized.
• Support go-to-market activities with technical solutioning, effort estimation, and client advisory.
• Lead, coach, and grow delivery teams to build scalable AI and automation capability within the practice.