Edge Strategist Senior Consultant

Deloitte•Tampa, FL
•$128,000 - $252,500

About The Position

The Edge Strategist Senior Consultant is part of Deloitte’s AI Strategy team within Strategy & Transactions. The team works with clients and technical specialists to identify, validate, and advance AI opportunities that support measurable business outcomes. The role combines business strategy, AI fluency, and rapid experimentation to demonstrate value, develop evidence-based business cases, and build sequenced roadmaps to help clients move from ideas to execution. The position involves working with client leaders and technical teams to assess business needs, determine AI opportunity readiness, validate and prototype AI-enabled solutions, and plan for adoption. The role is available in 39 listed U.S. locations. The position requires travel averaging 50%, residence within commuting distance of the assigned office, and average co-location 1–2 times per week, with variation according to work, projects, and client locations. Recruiting for this role ends on 12/31/2026.

Requirements

  • Bachelor’s degree in business, economics, engineering, or computer science.
  • At least 4 years of experience in management consulting, strategy consulting, corporate strategy, business transformation, or technology strategy.
  • At least 1 year of experience applying enterprise AI platforms or tools to business use cases and shaping, scoping, or contributing to AI initiatives from business case development through adoption.
  • Experience developing AI opportunity assessments, business cases, or roadmaps based on business problems.
  • Ability to travel 50% on average, based on work and the clients and industries or sectors served.
  • Must reside within commuting distance of the assigned office and be able to commute daily if required, without overnight accommodations.
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Strong interpersonal skills and professional demeanor.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Ability to meet deadlines and provide clear guidance to others.

Nice To Haves

  • Experience developing AI value frameworks, including ROI modeling, value tracking, and KPI frameworks.
  • Experience collaborating with client technical teams, program stakeholders, and onshore/offshore delivery teams to deliver AI-enabled solutions.
  • Experience with process redesign, change management, and user adoption.
  • Experience applying responsible AI practices and governance, security, privacy, and compliance requirements to AI initiatives.
  • Experience developing executive presentations and delivering product demonstrations.
  • Experience with enterprise AI platforms and tools, including Anthropic, Google, OpenAI, and Palantir.

Responsibilities

  • Conduct stakeholder and end-user interviews and lead working sessions to identify business needs, process gaps, and readiness for adoption.
  • Identify, assess, and prioritize AI use cases based on business value, feasibility, and risk.
  • Partner with client leaders, product owners, architects, engineers, and Forward Deployed Engineers to validate and prototype AI-enabled solutions using client data, tools, and accelerators.
  • Define business requirements, success measures, user experience, and future-state operating-model requirements for AI-enabled solutions.
  • Develop evidence-based business cases, value-tracking frameworks, reusable assets, sequenced roadmaps, and change plans that support adoption and inform decisions on quality, cost, latency, and risk.
  • Lead projects or workstreams and provide clear guidance to others.
  • Manage and prioritize multiple tasks in a fast-paced and dynamic environment while meeting deadlines.

Benefits

  • May be eligible to participate in a discretionary annual incentive program, subject to program rules and performance factors.
  • Professional development opportunities, including on-the-job learning, formal development programs, mentorship, skill-building, and leadership opportunities.
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