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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing global operating models and governance frameworks, with a strong focus on alliance management, performance measurement, and strategic operations. Proficient in leveraging enterprise AI concepts and advanced business intelligence tools to drive decision-making and operational excellence.
Highest-signal resume keywords
Global PMO LeadershipAlliance Business ManagementEnterprise AI ConceptsMicrosoft 365 ProficiencyFinancial Acumen
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Business ManagementPerformance MeasurementPipeline ManagementData AnalysisProcess ImprovementModel GovernanceInvestment TrackingSolution GovernanceForecastingCross-Functional Program Leadership
Soft Skills
People LeadershipMatrix ManagementStakeholder EngagementAnalytical CapabilityFlexibility
Tools & Technologies
Microsoft 365Power BIExcelPowerPointCollaboration PlatformsBusiness Intelligence Tools
Certifications & Qualifications
MBAPostgraduate Qualification in AIProject Management CertificationProcess Improvement Certification
Industry Keywords
AIData GovernanceCybersecurityJoint Business PlanningGo-To-Market ActivationFoundation ModelsRegulated IndustrySovereign AIModel EcosystemsEU AI Act
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Own and continuously mature the global operating model, governance framework and business management processes for the EY–Mistral alliance
- Translate joint alliance priorities into annual and quarterly operating plans, execution roadmaps, decision rights, milestones and measurable business outcomes
- Design and run executive governance forums, steering committees, pipeline and performance reviews, and working cadences involving EY and Mistral leadership
- Develop alliance scorecards and executive insight packs covering pipeline, bookings, influenced revenue, solution maturity, client adoption, delivery capacity, enablement, investments, risks and outcomes
- Coordinate joint go-to-market planning, account activation, campaigns, events, thought leadership, case studies and priority pursuits
- Support Mistral-enabled offerings from ideation and business case through solution approval, readiness, launch, field adoption and performance improvement
- Build repeatable GDS services, playbooks, intake processes, service levels, knowledge assets and escalation paths
- Coordinate capability building across Mistral AI models, APIs, enterprise platform capabilities, agentic AI, retrieval-augmented generation, model customization and deployment patterns
- Embed responsible AI, privacy, cybersecurity, intellectual property, data residency, model risk and regulatory considerations into operating processes
- Maintain visibility of model, platform and commercial changes and coordinate updates to enablement, offerings, controls, contracts and communications
- Manage alliance investments, forecasts, budgets, resource plans, benefits realization and supporting evidence
- Orchestrate execution across alliance, technology, consulting, industry, risk, legal, procurement, finance, marketing, sales and delivery teams
- Identify bottlenecks, dependencies and execution risks; establish remediation plans and provide recommendations to alliance leaders
- Drive automation and data quality improvements across reporting, governance workflows, knowledge management and enablement tracking
- Coach matrixed contributors across operations, PMO, reporting and enablement support
Requirements
What you’ll need- University degree required; qualification in business, technology, engineering, computer science, data and analytics, finance, operations or a related discipline preferred
- 15+ years of relevant experience, including substantial leadership responsibility in technology alliances, AI or data programs, strategic operations, commercialization, global PMO or business management
- Demonstrated success leading complex, cross-functional global programs in a matrixed professional services, technology, platform or ecosystem environment
- Experience partnering with senior executives and technical leaders on joint strategy, governance, performance management and decision support
- Practical experience with alliance business plans, pipeline and revenue reporting, offering or solution governance, enablement, investments and operating cadences
- Sufficient fluency in enterprise AI concepts; deep hands-on model engineering is not required
- Advanced proficiency in Microsoft 365, Power BI, Excel, PowerPoint, collaboration platforms and business intelligence or reporting tools
- Ability to work flexibly across priorities, stakeholder groups, global time zones and evolving alliance requirements
- Working knowledge of enterprise generative AI, including foundation models, APIs, agents, retrieval-augmented generation, customization, evaluation and production deployment
- Understanding of partner governance, joint business planning, go-to-market activation, pipeline management, offering lifecycle and investment governance
- Awareness of responsible AI, model governance, privacy, cybersecurity, intellectual property, third-party risk, EU AI Act considerations and data sovereignty requirements
- Strong commercial and financial acumen, including forecasting, investment tracking, business cases, performance measurement and value realization
- Strong analytical capability and disciplined use of metrics
- Experience designing scalable processes and service models for GDS or a comparable global delivery environment
- People leadership and matrix management skills
- MBA, postgraduate qualification or recognized certification in AI, data, cloud, project or program management, process improvement or technology management would be an advantage
- Direct experience with Mistral AI or another foundation-model provider would be advantageous
- Familiarity with Mistral AI’s model and platform ecosystem, sovereign AI, regulated-industry or sensitive-data use cases, model ecosystems, licensing, evaluation and inference economics would be advantageous
Benefits
Comp & perks- Continuous learning opportunities to develop mindset, skills and confidence
- Tools, flexibility and support to make a meaningful impact
- Coaching and experiences for transformative leadership development
- Access to modern analytics, automation and AI-enabled productivity tools
- Diverse and inclusive culture
- Opportunity to collaborate with senior global and technical stakeholders
- Opportunity to build scalable GDS services and enable responsible enterprise AI growth