Director of Business Value From Enterprise AI (r5463)

Shield AI Shield AI · Defense · Remote · Enterprise Operations

Director of Business Value from Enterprise AI to own the full demand-to-value pipeline, identify high-leverage opportunities, drive adoption, and prove measurable ROI. Requires technical grounding in ML and generative AI to assess vendor claims, shape use cases, and converse with engineering. Will build and lead a team to execute this pipeline at scale.

What you'd actually do

  1. This role is the AI team's primary operator with non-engineering functions across Shield, and is expected to build and lead the team that executes this pipeline at scale.
  2. Success is defined by turning scattered interest into a focused portfolio of business-backed use cases, converting pilots into real adoption, and demonstrating hard value in ways that earn trust, budget, and follow-on demand.
  3. While this role is business-facing rather than a technical builder, it requires genuine technical grounding in machine learning and generative AI.
  4. Sound buy/build calls, credible use-case shaping, and defensible ROI cases all depend on the leader understanding what these systems can and can't do, how they're evaluated, and where the real technical risk sits — not just what vendors claim.

Skills

Required

  • 15+ years in business transformation, product, strategy, operations, enterprise technology, or related leadership roles.
  • 5+ years leading cross-functional programs or transformations that required influencing senior stakeholders and driving behavior change, including direct people-management experience.
  • Substantive technical fluency in modern AI and generative AI — including how models are trained, tuned, and evaluated, and where their practical limitations sit — sufficient to assess vendor claims critically, shape technically realistic use cases, and hold a credible technical conversation with engineering counterparts. This is a genuine requirement, not surface familiarity, even though the role is not a hands-on technical builder.
  • Demonstrated ability to distinguish generative AI from traditional ML in terms of technical risk, skill requirements, cost, and timeline, and to apply that distinction to prioritization and staffing decisions.
  • Proven track record translating business needs into deployed technology solutions with measurable business impact.
  • Strong judgment on build versus buy decisions, including vendor evaluation, external market scanning, and procurement partnership.
  • Experience defining baselines, KPIs, and ROI frameworks for new tools, workflows, or transformation efforts.
  • Exceptional executive communication skills, especially with non-technical leaders and sponsors.
  • Proven track record building, leading, and developing high-performing teams, including hiring and mentoring talent.
  • Strong operator instincts: comfortable with ambiguity, able to create structure where little exists, and willing to own outcomes rather than hand off work.

Nice to have

  • Military fellows and part-time employees are not eligible for benefits.

What the JD emphasized

  • genuine technical grounding in machine learning and generative AI
  • not just what vendors claim
  • Substantive technical fluency in modern AI and generative AI — including how models are trained, tuned, and evaluated, and where their practical limitations sit — sufficient to assess vendor claims critically, shape technically realistic use cases, and hold a credible technical conversation with engineering counterparts. This is a genuine requirement, not surface familiarity, even though the role is not a hands-on technical builder.

Other signals

  • driving adoption
  • proving measurable ROI
  • turning scattered interest into a focused portfolio of business-backed use cases
  • converting pilots into real adoption
  • demonstrating hard value