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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 portfolios, ensuring alignment with enterprise architecture and governance standards while driving adoption of innovative solutions like Microsoft 365 Copilot and Generative AI. Proven ability to collaborate with stakeholders, prioritize initiatives, and deliver outcomes in a complex, matrixed environment.
Highest-signal resume keywords
Data & AI Portfolio ManagementStakeholder EngagementProject ManagementData GovernanceMicrosoft 365 Copilot
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 and Reporting SolutionsGenerative AIData QualityInformation SecurityCompliance ReviewsBusiness Case Development
Soft Skills
Relationship BuildingPrioritizationOutcome-DrivenCollaborationCommunication
Tools & Technologies
Microsoft 365 CopilotCopilot StudioCentral Data Lake PlatformSelf-Service AnalyticsAI Academy
Industry Keywords
FMCGData ProtectionPrivacyResponsible AIMatrix Organization
About the role
Key responsibilities & impact- Own the function or market Data & AI backlog and its contribution to the three-year technology roadmap and annual strategic planning cycle
- Partner with stakeholders to define business problems, value, data needs, and feasibility
- Classify requests into the appropriate delivery route and jointly prioritize demand with the global Data, Analytics & Innovation 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
- Promote the Central Data Lake Platform, Global Data Model, and reusable components
- 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, quality controls, and records of use after go-live
- Maintain an inventory of solutions and agents, including ownership, purpose, and approval status
- Drive adoption of conversational AI, business agents, 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 through AI Academy completion, playbooks, training, and community engagement
- Identify hackathon and AI Factory candidates, prepare business cases and supporting data, mobilize participants, and share successful use cases and lessons
- Build trusted relationships with leadership, stakeholders, Data & AI teams, platform owners, and delivery partners
- Establish visibility into demand, initiatives, priorities, governance status, and adoption opportunities
- Take ownership of priority initiatives and establish 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 working with internal teams and external partners
- 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
- 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- Competitive pay and attractive annual bonus
- On-going development opportunities in a multinational environment
- Wide variety of projects, ambitious goals, and independence in achieving them
- Freedom with responsibility
- Flexible work arrangements, including working from the office or from home
- Private medical care with various options
- Life insurance
- Employee pension and savings programs
- JTI Family Leave Benefit, including extended paid paternity leave and fully paid maternity leave
- Multisport card
- Foreign language classes
- Training, webinars, and professional courses on e-learning platforms
- Sponsored certification programs for employees fulfilling the admission criteria
- Modern office with a library, mindfulness zone, spacious kitchen, garden terrace, massage chairs, and underground bicycle parking
- Diverse and inclusive organization