About The Position

Accenture is seeking a Data & AI Strategy Manager / Senior Manager for its global Data & AI practice, focused on Supply Chain & Engineering (SC&E). The role serves as a strategic connector between business leaders and technical experts, helping ensure Data & AI solutions produce measurable business outcomes and transformation. The position guides clients through the AI journey, from identifying opportunities and shaping strategies to enabling execution and measuring impact. It also supports the growth of the practice through offering development, business development, and strengthening team skills and capabilities. The role is based in New York or Chicago and follows a hybrid work model, although the listing’s general information identifies the work style as remote. Travel may range from 0% to 100%, depending on business needs and client requirements.

Requirements

  • At least 6 years of experience in Supply Chain, Engineering, Manufacturing, operations, or Digital Transformation, with a significant portion in Life Sciences, Pharmaceutical, Biotech, MedTech, or Healthcare.
  • At least 5 years of consulting experience in strategy, management consulting, technology consulting, or equivalent internal consulting, leading business transformation initiatives for Life Sciences clients.
  • At least 6 years of experience translating business challenges into technology-enabled solutions, including Data, Analytics, AI, Automation, or Digital platforms.
  • At least 5 years of experience leading workstreams or projects involving cross-functional business and technology stakeholders.
  • Bachelor's degree.
  • Based in New York or Chicago; hybrid work model with some days at home and some in the office.
  • Travel may be required, ranging from 0% to 100% depending on business need and client requirements.

Responsibilities

  • Lead Data & AI transformation initiatives, identifying opportunities, shaping strategies, and guiding the development and deployment of AI-powered solutions with technical teams.
  • Define and implement Data & AI strategies for Supply Chain & Engineering transformation, driving efficiency, resilience, and innovation.
  • Bridge business and technical stakeholders by ensuring alignment, managing expectations, and enabling successful solution delivery.
  • Design and support data governance models that ensure data quality, availability, and compliance as foundations for scalable AI solutions.
  • Develop business cases and value frameworks, quantify impact, define KPIs, and support executive alignment and adoption.
  • Support business development through opportunity identification, client engagement, and creation of tailored proposals and go-to-market strategies.
  • Mentor junior team members and promote knowledge sharing, skill development, and a high-performance consulting culture.
  • Contribute to practice growth by developing offerings and strengthening team skills and capabilities.
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