Data & AI Strategy Manager/Senior Manager - Supply Chain & Engineering
$94.4k - $293.8kAccenture Global
We Are Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 800,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at [ There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to work in a digitally driven, innovation-led environment where you can help clients in their own reinvention journey. As you build a rewarding career at Accenture, you’ll have the opportunity to work with leading-edge technologies and take on some of the coolest projects you can imagine. Are you ready to shape the future of business through the power of technology, data, and AI? At Accenture, we are driving the complete reinvention of organizations, helping clients unlock new sources of value and impact for both their businesses and society at large. You Are We are seeking a Data & AI Strategy Manager / Senior Manager to join our global Data & AI practice , with a focus on Supply Chain & Engineering (SC&E) . In this role, you will act as a trusted advisor and strategic connector between business leaders and technical experts, ensuring that Data & AI solutions translate into measurable business outcomes and real transformation. The Work As part of our team, you will guide clients through the end-to-end AI journey—from identifying opportunities and shaping strategies, to enabling execution and measuring impact. Beyond client work, you will contribute to the growth of our practice by developing offerings, driving business development, and helping strengthen the team’s skills and capabilities. Key Responsibilities
- Lead Data & AI transformation initiatives , identifying opportunities, shaping strategies, and guiding the development and deployment of AI-powered solutions in close collaboration with technical teams.
- Define and implement Data & AI strategies to enable Supply Chain & Engineering transformation, driving efficiency, resilience, and innovation.
- Act as a bridge between business and technical stakeholders , ensuring alignment, managing expectations, and enabling successful solution delivery.
- Design and support data governance models , ensuring data quality, availability, and compliance as foundations for scalable AI solutions.
- Develop business cases and value frameworks , quantifying impact, defining KPIs, and supporting executive alignment and adoption.
- Support business development efforts , contributing to opportunity identification, client engagement, and the creation of tailored proposals and go-to-market strategies.
- Mentor junior team members , promoting knowledge sharing, skill development, and a high-performance consulting culture.
- Minimum of 6 years of experience in Supply Chain, Engineering, Manufacturing, operations, or Digital Transformation, with a significant portion of that experience in the Life Sciences, Pharmaceutical, Biotech, MedTech, or Healthcare industries
- Minimum of 5 years of consulting experience (strategy, management consulting, technology consulting, or equivalent internal consulting) leading business transformation initiatives for Life Sciences clients
- Minimum of 6 years of experience translating business challenges into technology-enabled solutions, including Data, Analytics, AI, Automation, or Digital platforms
- Minimum of 5 years of experience leading workstreams or projects involving cross-functional business and technology stakeholders
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
- Experience with Life Science business processes including GMP environments, regulatory compliance, Quality management, product development, manufacturing or clinical supply chain.
- Knowledge of industry platforms such as SAP, Kinaxis, o9, Blue Yonder, Siemens, PTC, Dassault, AVEVA, AspenTech, or similar Supply Chain and Engineering solutions.
- Solid understanding of data governance, data management, and AI solution lifecycle (from strategy to implementation).
- Ability to engage with senior stakeholders, influence decision-making, and build trusted relationships across business and technical teams.
- Demonstrated experience in developing business cases, defining KPIs, and measuring impact of Data & AI initiatives.
- Analytical mindset with structured problem-solving skills and a focus on delivering measurable value.
- Excellent communication and presentation skills, with the ability to simplify complexity and engage diverse audiences.
- Team-oriented leadership style, with experience in mentoring or coaching junior colleagues.
- Flexibility and adaptability in working across multidisciplinary, global, and fast-paced environments.
- Advanced Degrees in a relevant field.
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