Enterprise AI Value Strategy Manager | Song Marketing

AccentureSt. Louis, MO
$80,400 - $293,800Remote

About The Position

As an Enterprise AI Value Strategy Manager, 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.

Requirements

  • Minimum 7 years of AI & Data experience — including solutioning, designing, or delivering AI & Data projects
  • Minimum 7 years of high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines or relevant industry / functional experience

Nice To Haves

  • Experience in managing senior stakeholders
  • Engineering problem-solver mindset — ability to apply technology creatively to complex business problems
  • Strong program management and verbal and written communication skills
  • Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities
  • Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients

Responsibilities

  • 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.

Benefits

  • medical, dental, vision, life, and long-term disability coverage
  • a 401(k) plan
  • bonus opportunities
  • paid holidays
  • paid time off
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