Enterprise AI Value Strategy Senior Manager | Song Marketing

Accenture Plc

  • Overland Park, KS
  • 4 days ago

    Highlights

    You define enterprise, industry-specific and function-specific AI and data strategy, develop value cases and roadmaps, shape AI and data operating models and platform strategy, embed Responsible AI, and lead tech-driven transformations. You translate complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes.

    Numbers & Facts

    LocationOverland Park, KS

    Description

    Job Description

    Accenture Song accelerates growth and value for our clients through sustained customer relevance.  Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration.  With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence.  Visit us at: www.accenture.com/song

    As a Senior Manager in Enterprise AI Value Strategy, you advise clients on how to create and capture value from AI and data. You define enterprise, industry-specific and function-specific AI and data strategy, develop value cases and roadmaps, shape AI and data operating models and platform strategy, embed Responsible AI, and lead tech-driven transformations. You translate complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes.

    • Shape vision and create opportunities for data & AI led business reinvention.
    • Define and structure an organization's data and AI strategy to build and optimize data assets and AI technologies for growth & competitive advantages.
    • Assess maturity of an organization's AI and data foundation. Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.
    • Create the business case, investment profile and roadmap to deliver on the strategy.
    • Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
    • Identify people, processes and technologies to develop and operationalize AI solutions.
    • Create strategy for AI-first products and develop commercialization opportunities.

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