Senior Director, Customer Transformation and Value Management jobs in United States
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Skan AI · 18 hours ago

Senior Director, Customer Transformation and Value Management

positionUnited States
timeFull-time
remoteRemote
seniorityDirector/Executive
money$240K/yr - $240K/yr
date10+ years exp

Skan AI is a high-growth enterprise AI company pioneering Process Intelligence and Work Telemetry-driven transformation. The Senior Director, Customer Transformation and Value Management is responsible for architecting and governing enterprise AI transformation engagements, ensuring measurable outcomes and sustained value realization.

Artificial Intelligence (AI)
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H1B Sponsor Likelynote

Responsibilities

Lead enterprises through a disciplined, platform-led AI transformation journey, progressing from assessment to transformation to agentic automation—with provable value at every stage
Use observed work telemetry to assess AI and agentic potential, quantify value pools, and deliver Board-ready transformation blueprints with phased, investment-grade roadmaps
Drive process intelligence–led transformation, uncovering high-value optimization opportunities, redesigning operating models, and establishing governance and CoEs to ensure measurable ROI tied to Skan outputs
Enable governed, human-in-the-loop agentic automation at scale, identifying optimal intervention points and leading phased adoption across productivity, cost, quality, and risk
Ensure each stage delivers defensible outcomes and explicitly enables the next— creating a continuous, value-backed path from insight to execution
Lead C-suite and Board-level discussions on enterprise AI investment decisions
Help executives distinguish where AI creates material value—and where it does not
Translate AI initiatives into capital-allocation-grade business cases
Design and facilitate executive AI Boot Camps grounded in live Skan telemetry
Own the narrative of value committed vs. value realized across customer lifecycles
Develop CFO- and Board-ready value frameworks directly tied to Skan outputs
Ensure value realization is evidence-based, auditable, and renewal-defensible
Enable customers to confidently justify continued and expanded investment in Skan
Provide executive-level oversight (not hands-on delivery) across major programs
Establish governance models, steering cadences, and value checkpoints
Monitor progress against transformation roadmaps and value milestones
Intervene when value realization is at risk—aligning sponsors, priorities, and decisions
Embed Skan telemetry into ongoing operating models and decision-making
Establish Process Intelligence / AI CoEs with repeatable methodologies
Move customers from point improvements to continuous, platform-led optimization
Reduce reliance on external consulting by anchoring transformation in Skan
Represent Skan as an authority on enterprise AI operating models and agentic transformation
Codify Skan’s three-pillar methodology into repeatable frameworks and playbooks
Contribute to executive thought leadership, industry forums, and customer advisory sessions

Qualification

Enterprise AI strategyProcess intelligenceAgentic automationCFO-grade financial modelingValue pool identificationChange leadershipStrategic storytellingExecutive presenceBuilding credibility

Required

10–15+ years in top-tier management consulting or enterprise transformation roles (McKinsey, Bain, BCG, EY-Parthenon, Oliver Wyman, or equivalent)
Proven leadership of enterprise-scale transformation programs with measurable impact
Regular engagement with Boards, CFOs, and C-suite executives
Experience operating in high-accountability, growth-stage environments
Bachelor's degree in Business, Engineering, Technology, or Finance
MBA from a top-tier institution strongly preferred (Harvard, Stanford, Wharton, MIT Sloan, Kellogg, INSEAD, LBS)
Enterprise AI strategy and operating model design
Process intelligence, task mining, and work telemetry concepts
Agentic automation and human-in-the-loop governance
CFO-grade financial modeling and ROI frameworks
Value pool identification and attribution discipline
Comfort defending outcomes under executive scrutiny
Strong executive presence and strategic storytelling
Change leadership at scale
Ability to build credibility rapidly with senior stakeholders

Benefits

Benefits
Equity

Company

Skan AI

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Skan AI is the enterprise system of record for work intelligence, powering AI agents trained on operational reality, not documentation, system logs, or assumptions.
dateFounded in 2018
location
Menlo Park, California, USA
people-size201-500 employees
web-link
https://www.skan.ai

H1B Sponsorship

Skan AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (2)
2022 (6)
2021 (2)

Funding

Current Stage
Growth Stage
Total Funding
$54M
Key Investors
Dell Technologies CapitalCathay Innovation
2022-03-30Series B· $40M
2020-10-27Series A· $14M
2020-01-30Seed

Leadership Team

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Avinash Misra
CEO and co-founder
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Manish Garg
Co-founder, COO/CPO
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Recent News

PR Newswire
A New Era of Work Automation with Enterprise AI: Skan AI Issues Agentic Process Automation Manifesto
2025-10-15
EIN Presswire
Smarter Dentistry Starts Here: Muskan.AI Enhances Diagnostics, Imaging & Patient Care
2025-05-07
Google Patent
Generating event logs from video streams
2025-02-07
Company data provided by crunchbase