Senior Manager Analytics

Tandem Search; Dubai; On-site; AED 300,000 - 650,000; Full time

Job summary

Tandem Search is seeking a Manager – Data & Analytics to lead strategic data transformation initiatives for public and private sector clients in Dubai. You will design data strategies, operating models, and governance frameworks while delivering measurable business impact.

Ideal candidates have 6–10 years in management or data strategy consulting, with proven experience leading analytics transformations and engaging C-level stakeholders.

Qualifications

• 6–10 years of experience in management consulting or data strategy consulting.
• Experience leading Data & Analytics transformation programs.
• Strong understanding of Data Governance, BI & Analytics, Advanced Analytics / AI Strategy, Data Quality & Metadata Management.
• Experience working with executive stakeholders (C-level and senior leadership).
• Excellent problem-solving, communication, and presentation skills.
• Proven experience leading consulting teams and managing client relationships.

Responsibilities

• Lead end-to-end Data & Analytics transformation projects across multiple industries.
• Develop enterprise data strategies aligned with business objectives.
• Design Data & Analytics operating models, governance frameworks, and organizational structures.
• Define data management, governance, quality, metadata, and master data management approaches.
• Support AI, advanced analytics, and data platform transformation initiatives.
• Conduct current-state assessments and develop future-state roadmaps.
• Engage with senior executives to define business priorities and transformation strategies.
• Manage project workstreams, teams, timelines, and client deliverables.
• Drive business development through proposal development, client presentations, and thought leadership.
• Mentor consultants and support team development.

Job description

We are seeking a Manager – Data & Analytics to lead strategic data transformation initiatives for leading public and private sector clients. The role involves developing data strategies, designing operating models, driving analytics transformations, and working closely with senior client stakeholders to deliver measurable business impact.

The ideal candidate has a management consulting background with experience leading data and analytics engagements, managing client relationships, and delivering enterprise-wide transformation programs.

Key Responsibilities

• Lead end-to-end Data & Analytics transformation projects across multiple industries.
• Develop enterprise data strategies aligned with business objectives.
• Design Data & Analytics operating models, governance frameworks, and organizational structures.
• Define data management, governance, quality, metadata, and master data management approaches.
• Support AI, advanced analytics, and data platform transformation initiatives.
• Conduct current-state assessments and develop future-state roadmaps.
• Engage with senior executives to define business priorities and transformation strategies.
• Manage project workstreams, teams, timelines, and client deliverables.
• Drive business development through proposal development, client presentations, and thought leadership.
• Mentor consultants and support team development.

Requirements

• 6–10 years of experience in management consulting or data strategy consulting.
• Experience leading Data & Analytics transformation programs.
• Strong understanding of:
• Data Governance
• Business Intelligence & Analytics
• Advanced Analytics / AI Strategy
• Data Quality & Metadata Management
• Experience working with executive stakeholders (C-level and senior leadership).
• Excellent problem-solving, communication, and presentation skills.
• Proven experience leading consulting teams and managing client relationships.

Preferred Background

• Experience within management consulting firms
• Experience delivering transformations within government, financial services, telecommunications, energy, or healthcare sectors.
• Exposure to cloud data platforms (Azure, AWS, GCP), AI, and modern analytics technologies is advantageous.