Strategy Senior Manager

About the Role Senior Manager or Principal Director leading within Accenture's AI-Enabled Enterprise offering (AIEE) within Reinvention Services. This high-visibility, cross-functional role spans the full breadth of AIEE's mandate to help clients reinvent the enterprise to lead with AI at the core. You will work directly with senior Accenture leaders and client CxOs to create immersive, executive-caliber experiences, anchoring strategic ambition in actionable reinvention roadmaps, and to manage a team of professionals across AIEE engagements. What You'll Do

• Design and lead end-to-end engagement frameworks, tooling, and immersive experiences that enable insight-led CEO and CXO interactions, differentiating Accenture's reinvention approach in the market.
• Facilitate executive workshops, briefings, and immersive sessions with C-suite audiences that make the future AI-enabled enterprise tangible and translate strategic ambition into actionable reinvention roadmaps.
• Co-develop client-validated, industry-led reinvention narratives in partnership with Industry Leads that deliver authoritative perspectives on how AI will fundamentally reshape industries and drive enterprise-wide transformation.
• Contribute to the development and operationalization of Reinvention.ai assets and tooling — including AI-powered diagnostics, benchmarking platforms, and value modeling capabilities — to accelerate client journeys and differentiate Accenture's reinvention approach.
• Partner with Global Industry Leaders to define bold, futuristic visions for the age of advanced AI and translate them into actionable enterprise reinvention roadmaps grounded in clear value chain impacts tailored to the client's business and industry context.
• Originate and shape integrated, cross-functional, AI-first deals that drive enterprise-wide reinvention and position Accenture as a differentiated transformation partner.
• Lead the "Reinvention Office" on major engagements — coordinating large-scale AI-centered enterprise transformations, guiding value assurance and strategic architecture, and communicating progress and impact to CEOs and CXOs throughout the engagement lifecycle.
• Build client relationships and develop sales pipeline through opportunity identification, proposal development, and commercial pursuit leadership.
• Support knowledge-building efforts such as developing offerings, assets, capabilities, and relevant thought leadership and engage with the wider AI-Enabled Enterprise and Reinvention Services community across Accenture globally.
• Lead high-performing multidisciplinary teams, leading by example, actively mentoring others, and contributing to performance management and recruitment activities. What We're Looking For
• Must have at least 8 years of experience in developing and presenting strategic recommendations, reinvention narratives, and transformation roadmaps to CEO and C-suite audiences.
• Must have experience leading strategy consulting or transformation engagements involving AI, digital, or enterprise reinvention.
• Must have experience applying strategy and management consulting tools and frameworks including business models, operating models, value creation frameworks, and enterprise capability assessments.
• Must have experience utilizing AI and emerging technologies — including generative AI, large language models, machine learning — to address complex enterprise challenges and drive business transformation.
• Must have experience supporting strategic decision-making with decision science techniques and procedures.
• Must have a track record of leading cross-functional teams and contributing to deal origination, proposal development, and sales pipeline growth.
• Must have a strong builder and entrepreneurial mindset, able to work autonomously and build value propositions and commercial deals from ambiguous C-suite requests.
• Must have willingness and ability to travel domestically and internationally as needed to meet client and business requirements. Nice to Have
• MBA or advanced degree in a relevant discipline (e.g., business, economics, computer science, data science, engineering).
• Experience working across multiple industries (e.g., financial services) or other large-scale industry domains.