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Kyndryl

Managed IT infrastructure and cloud services

Value Realization Lead

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-timeDallas, TX, USA$179.8k - $409.8kRemote

About the Job

Requirements

  • 12+ years of relevant consulting, portfolio, transformation, finance, or value-management experience, including demonstrated responsibility for selling and delivering value realization or portfolio-governance engagements.
  • Provide two or more referenceable examples of personally establishing or leading a Value Realization Office, benefits-realization capability, transformation office, or outcome-led portfolio-management function, demonstrating value baselines, governance, interventions, realized outcomes, and direct contribution.
  • Demonstrate experience with at least two AI-specific governance or portfolio use cases, such as AI use-case intake and prioritization, pilot-to-scale governance, agent inventory, model or agent lifecycle governance, AI cost and token economics, AI risk and control monitoring, agent performance, or AI value tracking.
  • Provide at least one referenceable agentic AI use case and explain the business objective, agent or workflow design, human decision points, data and tool dependencies, governance controls, observability approach, cost model, KPIs, and realized or expected value.
  • Have hands-on experience developing business cases, value trees, KPI or OKR frameworks, benefit profiles, portfolio prioritization models, and executive value narratives, distinguishing activity, output, outcome, and realized value.
  • Have experience connecting portfolio or transformation data from systems such as Jira, ServiceNow, Microsoft Project, Planview, Clarity, SAP, Workday, Salesforce, or equivalent platforms into measurement and governance processes.
  • Have working knowledge of AI governance concepts, including policies and guardrails, human-in-the-loop controls, traceability, auditability, model and agent risk, data and privacy controls, responsible AI, security, resilience, and regulatory considerations.
  • Demonstrate sales capability, including opportunity shaping, proposal leadership, commercial design, executive presentations, and expansion of client engagements.
  • Provide work samples or detailed examples of deliverables such as AI portfolio scorecards, prioritization frameworks, business cases, value dashboards, governance operating models, intervention recommendations, or benefit-validation packs.

Responsibilities

  • Identify and shape Value Realization Office opportunities across AI, agentic AI, cloud, data, ERP, application modernization, managed services, and enterprise transformation programs.
  • Lead executive discovery sessions, author strategic proposals, structure commercial agreements, and deliver high-impact presentations to client decision-makers.
  • Guide clients through value-definition workshops to establish strategic outcomes, value trees, robust business cases, OKRs, KPIs, baselines, targets, and realization timelines.
  • Design comprehensive AI portfolio management frameworks covering use case intake, qualification, prioritization, funding, stage gates, dependency management, risk, cost, and pilot-to-scale decisions.
  • Establish Value Realization Office operating models defining decision rights, governance cadences, value-owner accountability, finance and PMO integration, escalation thresholds, and transition into business-as-usual ownership.
  • Define and monitor outcome and performance metrics for AI use cases, tracking productivity, cost, revenue, cycle time, quality, experience, risk, resilience, token economics, and sustained operational impact.
  • Connect financial, delivery, operational, adoption, workforce, risk, and technology data to uncover value leakage and deliver decision-ready portfolio insights rather than routine status reporting.
  • Lead interventions when value is at risk, recommending reprioritizations, rescoping, adoption actions, funding adjustments, remediation, or discontinuation of low-value initiatives.
  • Guide organizations through stage gates and retirement criteria to focus capital and operational budgets on high-impact solutions.
  • Build scalable Value Realization Office capabilities through repeatable methods, maturity models, prioritization frameworks, value taxonomies, templates, dashboards, micro-apps, case studies, delivery standards, and practitioner enablement.
  • Partner with AI architects, data engineers, product leaders, finance, risk, change, workforce, and delivery teams to translate governance requirements into deployable controls, data flows, dashboards, and decision processes.
  • Mentor consulting practitioners and embed value management habits into client organizations for sustained long-term impact.
  • Work with customers, project managers, and technical teams to ensure solutions meet quality, efficiency, and effectiveness standards.

Desired Qualifications

  • Familiarity with agentic AI frameworks and components such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent orchestration approaches, including architecture, multi-agent workflows, tool calls, memory, context, and human approval points.
  • Familiarity with AI and LLM observability platforms such as LangSmith, Langfuse, Arize Phoenix/AX, Datadog LLM Observability, MLflow, Galileo, Fiddler, AgentOps, or equivalent tools, including traces, agent steps, tool calls, latency, errors, token use, cost, response quality, retrieval quality, guardrails, and outcome monitoring.
  • Experience with portfolio, business intelligence, financial-management, FinOps, workflow, or governance tooling, and the ability to translate tool telemetry into executive value, risk, and investment decisions.
  • Experience designing AI-enabled value-intelligence capabilities such as automated business-case support, KPI mapping, portfolio prioritization, variance detection, scenario simulation, dependency analysis, predictive risk, or next-best-action recommendations.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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