Data & AI Acceleration Manager

JTI

. Connect functional or market business priorities with the enterprise Data & AI strategy, governance, platforms and delivery model .

Posted 11/6/2026full-timeRaleigh • North Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing Data & AI initiatives from demand intake to operational transition, ensuring alignment with enterprise architecture and governance standards. Proficient in stakeholder engagement, project management, and delivering Machine Learning solutions while driving adoption of data platforms and analytics.

Highest-signal resume keywords

Data & AI Strategy AlignmentMachine Learning Solution DeliveryEnterprise Data PlatformsProject Management SkillsStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PreparationModel DevelopmentData GovernanceAnalytics SolutionsReporting SolutionsGenerative AIData QualityInformation SecurityCompliance ReviewsDeployment Management

Soft Skills

Strong Communication SkillsInfluencing SkillsAbility to Manage Competing Priorities

Tools & Technologies

Microsoft 365 CopilotCopilot StudioSelf-Service AnalyticsData Management Tools

Industry Keywords

FMCGData ProtectionResponsible AI PracticesOperational TransitionBusiness Technology

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 Data & AI demand within the assigned function or market and qualify initiatives before delivery
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 contribute 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 and prioritize demand with DA&I
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
Ensure solutions follow enterprise architecture, data management, security, integration and technology standards
Govern AI use cases from idea through production, coordinating Legal, Data Protection, compliance, security and risk reviews
Monitor transparency, human oversight, bias and quality controls; maintain an inventory of solutions and agents
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 through 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 the first six months, build relationships, establish visibility of demand and initiatives, 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, with accountability from demand intake and solution shaping through build, deployment and operational transition, working with internal teams and external partners
Experience partnering with senior stakeholders to shape requests, challenge scope, develop business cases and prioritize portfolios
Strong communication and influencing skills
Practical understanding of enterprise data platforms, data models, analytics and reporting solutions, Generative AI, Microsoft 365 Copilot and Copilot Studio
Strong project and delivery-management skills across planning, estimation, risks, dependencies, testing, deployment and reporting
Proven experience delivering Machine Learning solutions, including data preparation, model development, evaluation, deployment and monitoring
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 is required
Ability to manage competing priorities and drive outcomes without direct authority in a matrixed, remote organization with dual reporting lines