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Posted: 10/20/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading Data & AI initiatives, managing enterprise data governance, and driving measurable business value through strategic investments. Proven ability to influence C-suite stakeholders and manage large-scale budgets while fostering collaboration and accountability across global teams.
Highest-signal resume keywords
Data GovernanceAI/ML LeadershipBudget Management Over $5MMicrosoft Ecosystem TechnologiesCross-Functional Alignment
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own execution of the enterprise Data & AI roadmap across regions, functions, and business units
- Approve sequencing and trade-off decisions across speed, quality, risk, and cost
- Hold director-level leaders accountable for committed outcomes
- Own the benefits case for the Data & AI portfolio from investment approval through post-implementation review
- Set measurable value targets, embed capabilities into business processes, and report captured value
- Redirect or terminate initiatives that are not realizing committed value
- Direct development and operation of the enterprise Data Platform, AI Factory, and related AI capabilities
- Set platform roadmaps and approve platform investment
- Own enterprise data governance and responsible AI practices, including AI use-case approval
- Partner on security, privacy, regulatory compliance, and model risk management
- Set priorities, performance measures, governance forums, and execution processes
- Monitor progress, escalate and resolve enterprise risks, and provide transparency into commitments and outcomes
- Own the Data & AI operating and investment budget
- Lead strategic vendor selection, negotiation, and performance management
- Drive unit-cost improvement while sustaining long-term capability investment
- Build and lead a global organization of directors, managers, and technical professionals
- Define operating model and organizational design
- Hire and develop director-level leaders and set succession plans
- Cultivate accountability, collaboration, and continuous improvement
Requirements
What you’ll need- 15+ years of relevant work experience in data, AI/ML, engineering, and/or platform leadership roles
- 8+ years of experience directly managing or supervising employees
- Accountability for an operating budget of $5M or greater and a comparable investment portfolio
- Hands-on familiarity with Microsoft ecosystem technologies, including Azure Foundry, Microsoft Copilot, and Copilot Studio
- Familiarity with modern data platforms such as Snowflake and Databricks
- Familiarity with foundational AI models such as OpenAI and Anthropic
- Experience with FinOps best practices for cloud and AI cost management, chargeback, and showback models
- Proven record of delivering measurable business value from data and AI investments
- Deep knowledge of modern data platform architecture, AI and generative AI deployment at scale, and data governance frameworks
- Experience establishing responsible AI and data governance practices in regulated, multi-jurisdiction environments
- Ability to drive cross-functional alignment
- Executive presence and effectiveness influencing C-suite peers and reporting to board-level audiences
- Experience managing globally distributed teams across NA, EMEA, APJ, and LATAM preferred
- Experience leading data and AI transformation through significant business change preferred
- Experience in distribution, supply chain, or another high-volume, low-margin operating model preferred
- Bachelor's degree or equivalent work experience in a related field required
- Master's/Post Graduate Degree required
- Ability to execute instructions and request clarification
- Complex problem-solving, critical thinking, and decision-making skills
- Attention to detail and accuracy
- Clear written and verbal communication skills
- Ability to converse and write effectively in English and other local/regional languages
- Ability to create and conduct formal presentations
- Ability to interact effectively with managers and above
- Skilled negotiation and persuasive communication
- Ability to collaborate effectively across varied identities
- Strong leadership, organizational, and time-management skills
- Adaptability and ability to work under stress and pressure
- Ability to maintain confidentiality and ethical standards
- Ability to work independently with minimal supervision
- Ability to multitask and build effective working relationships
- Advanced proficiency with relevant computer systems and applications
- Ability to quickly learn and adapt to new systems and technology
- Ability to stay aware and alert while performing work
Benefits
Comp & perks- Elective benefits tailored to the employee's country
- Formal leadership and professional development programs
- On-demand courses
- Financial, physical, and mental well-being seminars and events
- Global Life Empowerment Assistance Program
- Inclusive education and peer-to-peer conversations
- Equitable growth and development opportunities
- Onboarding program with networking opportunities
- Internal, peer-led inclusive communities and activities
- Business resource groups
- Local volunteering events
- Environmental and social initiatives
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Platform ArchitectureAI Deployment at ScaleFinOps Best PracticesModern Data PlatformsGenerative AICloud Cost ManagementInvestment Portfolio ManagementPerformance MeasurementRisk ManagementVendor Negotiation
Soft Skills
Complex Problem-SolvingCritical ThinkingEffective CommunicationLeadershipCollaboration
Tools & Technologies
Microsoft Azure FoundryMicrosoft CopilotCopilot StudioSnowflakeDatabricksOpenAIAnthropic
Certifications & Qualifications
Bachelor's DegreeMaster's/Post Graduate Degree
Industry Keywords
Data & AI RoadmapResponsible AI PracticesRegulatory ComplianceMulti-Jurisdiction EnvironmentsHigh-Volume Operating Model