TL;DR

Consultant/Senior Consultant - Data Management (AI): Shaping AI-driven data management strategies and enabling AI-ready data foundations for clients. Focus on guiding stakeholders, designing operating models, and embedding ethical governance for advanced analytics.

Location: Your base location will be London, Manchester, or Glasgow, but flexibility is essential. These roles may require travel and short-notice assignments away from home.

Company

%hirify_global% is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.

What you will do

Advise on data, analytics, and AI strategy, articulating the business benefits of robust governance and MDM capabilities.
Translate complexity into clarity, guiding senior stakeholders to secure buy-in for data-driven outcomes.
Design data management operating models, including roles, processes, standards, and stewardship frameworks.
Enable trusted AI and analytics by supporting the design of data governance, data quality, and master data management solutions.
Collaborate with business leaders, developers, architects, and data scientists to ensure governance and compliance are integrated into technical solutions.
Lead workstreams, coach junior colleagues, and shape best practices in data and AI foundations.

Requirements

Strong advisory and stakeholder communication skills.
Proven experience designing and implementing data management, governance, or MDM solutions (consulting or industry).
Practical experience identifying and deploying data management or governance tools like Informatica, Collibra, Alation, Ataccama, or Microsoft Purview.
Prior project experience leading or contributing to data management initiatives (e.g., data catalog implementation, data lineage mapping, master data consolidation).
Experience defining and operationalizing data stewardship roles within data governance models.

Nice to have

Experience in AI-related data preparation, data management use case identification, or Responsible AI frameworks.
Understanding of model lifecycle management, bias detection, and explainability.
Familiarity with DMBOK framework.

Culture & Benefits

Flexible working and wellbeing benefits.
Opportunity to support the delivery of bespoke AI products.
Access to Data Academy and AI upskilling programs.
Supportive community that values balance and growth.
Hybrid working arrangements are embedded in our day-to-day.

Consultant / Senior Consultant - Data Management (AI)