Manager – Data Analytics | Emirati Talent – Majid Al Futtaim

Majid Al Futtaim is investing in its Data & AI capability as part of its broader growth and innovation agenda, and this Manager – Data Analytics role, positioned under the company’s Emirati Talent programme, sits inside that effort — responsible for analytics quality, adoption and value realisation across the business, alongside driving reproducibility and continuous improvement across the analytics lifecycle.

Day to day, the role involves overseeing how analytics outputs are built, validated and actually adopted by business stakeholders across MAF’s various operating units, establishing standards for analytics quality and reproducibility, and working to make sure analytics work translates into real business value rather than reports that sit unused. Expect a mix of hands-on analytics oversight, process and governance work, and stakeholder engagement to drive adoption of data-driven decision-making across the organisation.

It suits someone with strong data analytics experience who also understands the organisational and governance side of making analytics actually stick within a large, multi-business organisation — not just building good models, but making sure they get used and trusted. As part of the Emirati Talent programme, the role also comes with structured development specifically aimed at building senior UAE national leadership within MAF’s growing Data & AI function.

For a UAE national with a data and analytics background, this role offers both substantive technical scope and a genuine, structured path into senior data and AI leadership within one of the region’s largest conglomerates.

Analytics only creates business value when it's trusted and actually used, and this Manager - Data Analytics role exists specifically to close the gap between analytics output and real business adoption across Majid Al Futtaim's various operating units. Poor analytics quality or governance undermines confidence in data-driven decision-making across an organisation, which means even technically excellent analysis can fail to change anything if stakeholders don't trust or understand it, making this role's focus on quality, reproducibility and adoption genuinely central to MAF's broader Data & AI growth ambitions. Because MAF operates across malls, retail, leisure and other diversified business lines, consistent analytics standards and governance at this level help the group make better, more comparable decisions across very different parts of the business. As part of the Emirati Talent programme, this role also supports MAF's longer-term goal of building senior UAE national leadership specifically within its Data & AI function, which matters for the company's succession planning and broader national talent development commitments. Strong execution in this role compounds: better-trusted analytics leads to better decisions, which reinforces confidence in the analytics function itself.

This Manager - Data Analytics role within Majid Al Futtaim's Emirati Talent programme offers a rare combination: substantive technical analytics responsibility alongside structured development specifically designed to build senior Emirati leadership within a growing Data & AI function. Working on analytics quality, governance and adoption across a genuinely diversified conglomerate builds a broader and more organisationally sophisticated skill set than a purely technical analytics role would, since it demands understanding not just how to build good analysis but how to make an entire organisation trust and use it. This governance-and-adoption angle on analytics is increasingly valuable as more companies struggle to translate data investment into actual business value, making this experience highly relevant to senior data leadership roles across industries, not just within MAF. The Emirati Talent programme specifically provides a genuine, structured pathway to senior leadership for UAE nationals, which is a significant career advantage on top of the role's substantive scope. For a UAE national with a strong data analytics background who wants to build toward head of data, chief data officer, or broader analytics leadership roles, this role offers both the technical depth and the organisational development support to make that a realistic, well-supported path. That combination of hands-on skill and employer credibility is exactly what hiring managers in data and AI leadership look for when considering someone for a bigger role down the line.

• UAE national, as part of Majid Al Futtaim’s Emirati Talent programme
• Strong experience in data analytics, with exposure to analytics governance, quality, or adoption challenges
• Understanding of the analytics lifecycle, from data quality through to business adoption
• Experience driving continuous improvement and reproducibility in analytics processes
• Strong stakeholder engagement skills, able to drive adoption of data-driven decision-making
• Bachelor’s degree in data science, statistics, analytics, or a related field
• Familiarity with data and AI tools and platforms relevant to enterprise analytics