Shield AI · 1 week ago
Director of Business Value from Enterprise AI (R5463)
United States
Full-time
Remote
Director/Executive
15+ years expShield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. The Director of Business Value from Enterprise AI will own the full demand-to-value pipeline, working closely with business leaders to identify opportunities for AI integration and ensuring measurable ROI.
AerospaceArtificial Intelligence (AI)TransportationDronesNational DefenseAutonomous VehiclesMachine LearningNational Security
Responsibilities
Apply working technical knowledge of ML and generative AI — including model capabilities, limitations, training/tuning basics, and evaluation approaches — to pressure-test vendor claims, size technical risk in buy/build calls, and shape use cases that are technically realistic
Distinguish generative AI from traditional ML in business conversations, since the two carry different technical risk profiles, build timelines, skill requirements, and cost structures, and translate that distinction into sharper prioritization and roadmap decisions
Partner with engineering and technical evaluators as a credible counterpart during vendor evaluation and market scans, able to interrogate technical claims rather than relay them
Incorporate model performance, drift, and technical limitations into ROI frameworks and success metrics, so measured value reflects real system behavior, not just adoption numbers
Own the single demand pipeline across Workplace AI: intake, shaping, prioritization, buy/build recommendation, rollout, adoption, and value measurement
Partner directly with business leaders, including senior executives, to surface needs, pressure-test requests, and distinguish real opportunities from low-value noise
Translate ambiguous business problems into clear requirements, decision-ready use cases, and a prioritized portfolio of AI opportunities
Identify where AI can create the most leverage, whether through productivity, cycle-time reduction, quality improvement, risk reduction, or better decision support
Lead build-versus-buy decisions, including market scans, vendor evaluation, recommendation development, and ownership of purchased-solution rollout
Establish baselines, define success metrics, and build the ROI cases that show whether a solution is working after deployment
Own adoption as seriously as selection: partner with the business on training, behavior change, communications, and local champion models so tools actually stick
Serve as the senior business-facing counterpart to the VP, integrating business pull and technical push into one clear prioritization and operating rhythm
Build, lead, and develop a team responsible for demand shaping, triage, and business-facing execution, establishing standards and processes that scale as the function matures
Prepare decision memos, frame tradeoffs, and resolve most prioritization questions before they reach the VP
Act as the trusted AI advisor to non-engineering leaders, communicating in the language of outcomes, constraints, and business value
Own the strategic roadmap and budget for the demand-to-value function, aligning it to enterprise priorities over multi-quarter horizons
Qualification
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
Preferred
Experience in internal AI, automation, digital transformation, or enterprise productivity programs
Background in consulting, high-growth operating roles, or business-side product leadership
Experience leading vendor-backed implementations as well as internally built solution rollouts
Familiarity with change management, enablement, and adoption measurement in enterprise environments
Change-management certification or equivalent demonstrated practice
Company
Shield AI
Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$3.58BKey Investors
Advent International,JP Morgan ChaseBlackstoneHanwha Aerospace,L3Harris Technologies
2026-03-26Series G· $2B
2026-03-26Debt Financing· $250M
2025-10-15Series F· $20M
Leadership Team
Gary Steele
Chief Executive Officer
Brandon Tseng
Co-Founder
Recent News
2026-08-02
2026-07-29
Company data provided by crunchbase