
AI Readiness Strategy Management Consultant
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Atlanta • 🇺🇸 United States
Visit company websiteSalary
💰 $127,500 - $249,350 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzure
About the role
- Support data-driven transformation initiatives with a focus on data governance, management, and AI readiness.
- Collaborate cross-functionally with business, IT, and data teams to design, implement, and operationalize data governance frameworks and modern data platforms.
- Coordinate and deploy data governance initiatives, ensuring alignment with organizational objectives.
- Design, refine, and maintain data governance frameworks tailored to specific business or functional areas.
- Apply industry best practices and frameworks (e.g., DAMA, DCAM) in data governance.
- Define and substantiate roles, responsibilities, operating models, standards, and policies for data governance at application and use case levels.
- Enable iterative and incremental deployment of data governance per use case, data object, or domain.
- Ensure consistent data management practices that meet client standards and comply with external regulations.
- Coordinate between stakeholders to secure cross-functional alignment.
- Focus on data quality, data integrity, and the application of governance frameworks to project-specific scopes.
- Support the establishment of modern data estates/platforms, including architecture advisory (AWS, Azure, etc.).
- Contribute to AI readiness by supporting active data management, semantic layers, and metadata enablement.
Requirements
- Experience with data governance frameworks (DAMA, DCAM) and best practices
- Proven ability to coordinate and align stakeholders across business and technical teams
- Experience in designing and operationalizing data governance and management processes
- Familiarity with knowledge management, semantic layers, and metadata management is a plus
- Exposure to modern data platform technologies (AWS, Azure) and data architecture concepts
- Consulting skills, including strategic thinking, stakeholder management, and project delivery
- Must have an awareness of how to Design, develop, and deploy AI-driven solutions to enhance decision-making, automate processes, and improve operational efficiency across the organization
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data governance frameworksdata management processesAI-driven solutionsdata qualitydata integritymetadata managementsemantic layersdata architecture concepts
Soft skills
stakeholder managementstrategic thinkingproject deliverycross-functional collaboration