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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Data & AI initiatives, ensuring alignment with business priorities, and delivering solutions that meet quality and operational standards. Proficient in data governance, analytics, and stakeholder engagement within a complex organizational structure.
Highest-signal resume keywords
Data & AI Strategy AlignmentProject Management SkillsData Governance UnderstandingStakeholder EngagementGenerative AI Experience
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 & AnalyticsSolution DeliveryEnterprise Data PlatformsData ModelsAnalytics SolutionsReporting SolutionsData QualityInformation SecurityResponsible-AI PracticesBusiness Case Development
Soft Skills
Relationship BuildingPrioritizationOutcome-DrivenCommunicationAdaptability
Tools & Technologies
Microsoft 365 CopilotCopilot StudioSelf-Service AnalyticsData PlatformsAI Governance Guidelines
Certifications & Qualifications
Project Management CertificationData & Analytics CertificationAI Certification
Industry Keywords
FMCGLegal ComplianceData ProtectionRisk ManagementOperational Transition
About the role
Key responsibilities & impact- Connect functional or market business priorities with the enterprise Data & AI strategy, governance, platforms and delivery model
- Act as the entry point for all Data & AI demand within the assigned function or market
- Shape business needs and own initiatives from initial request through development, deployment, operational transition and adoption
- Own the function or market Data & AI backlog and its contribution to the three-year technology roadmap and annual strategic planning cycle
- Define business problems, value, data needs and feasibility, classify requests and prioritize demand with the DA&I team
- Own end-to-end delivery of the Data & AI portfolio on time, within budget and to agreed scope, quality and business outcomes
- Coordinate business, IT, DA&I and external partners
- Ensure testing, release readiness, documentation and support models are in place
- Ensure solutions follow enterprise architecture, data management, security, integration and technology standards
- Govern AI use cases from idea through production using agreed scaling processes, stage gates and AI Governance Guidelines
- Coordinate Legal, Data Protection, compliance, security and risk reviews
- Monitor transparency, human oversight, bias and quality controls after go-live
- Maintain an inventory of solutions and agents, including ownership, purpose and approval status
- Drive adoption of conversational AI, Microsoft 365 Copilot, Copilot Studio, self-service analytics and approved data platforms
- Guide and govern citizen development within approved guardrails
- Own Data & AI literacy building, including AI Academy completion, playbook guidance, training and community engagement
- Identify hackathon and AI Factory candidates, prepare business cases and supporting data, mobilize participants and share successful use cases
- Within six months, build relationships, establish visibility of demand and initiatives, take ownership of priorities, and implement delivery, governance, reporting and adoption routines
Requirements
What you’ll need- 5+ years of professional experience in Data & Analytics, business technology or solution delivery within a large multinational, ideally FMCG
- Proven accountability from demand intake and solution shaping through build, deployment and operational transition
- Experience partnering with senior stakeholders to shape requests, challenge scope, develop business cases and prioritize portfolios
- Practical understanding of enterprise data platforms, data models, analytics and reporting solutions, Generative AI, Microsoft 365 Copilot and Copilot Studio
- Hands-on engineering or coding is not required
- Strong project and delivery-management skills across planning, estimation, risks, dependencies, testing, deployment and reporting
- Understanding of data governance, data quality, privacy, information security and responsible-AI practices
- Exposure to Legal, Data Protection and compliance reviews
- A college or university degree, preferably in Information Systems, Computer Science, Data Science, Engineering, Business Administration or a related field
- Postgraduate qualifications or project/programme management or Data & Analytics/AI certifications are an advantage
- Fluent written and spoken English required
- Ability to manage competing priorities and drive outcomes without direct authority in a matrixed, remote organization with dual reporting lines
Benefits
Comp & perks- Equal-opportunity employer
- Support, alternative formats, and access requirements available upon request
- Permanent employment contract