Senior Consultant Data & AI Strategy - Operating Model

Location:London, Manchester, Glasgow (hybrid working arrangements, typically 1-2 days per month in the office).

Employment Type:Permanent.

Salary:up to £70,000 dependent on experience, bonus and other benefits.

As a requirement, all candidates must be SC eligible and (sponsorship cannot be supplied). Some travel may be required based on business demand.

Join our client as a Data & AI Operating Model Consultant to drive business outcomes by leveraging cutting-edge technologies.

In this role, you will design effective data, analytics & AI operating models, aligning them with strategic objectives to realize business goals. Your expertise will guide clients through the entire data & analytics value chain, identifying opportunities for improvement and developing blueprints for success.

Collaborating with stakeholders across all levels, you will lead the transformation by fostering a culture of success through communication, training, and skill-building. Your focus on ethical practices and regulatory compliance will ensure trust and mitigate risks in data-driven initiatives.

Skills and Experience

• Organisational design experience: you know what makes data teams effective, from data product development teams all the way through to market-leading Chief Data Offices. You understand what makes an effective reporting structure, the governance processes that manage effective teams and the skills that make up modern data teams.
• Knowledge of effective data & analytics delivery models: you have a detailed knowledge of the different delivery and deployment methodologies for data teams, such as agile data product development, AI/MLOps and AnalyticsOps. You will be able to align these methodologies with our clients’ objectives and organisational structure, ensuring data teams can be as effective and cost efficient.
• An understanding of business architecture: you understand the importance of effective alignment of data & analytics teams with existing or to-be business architecture, designing data & analytical teams to integrate seamlessly with the rest of the organisation and any relevant third parties. You have experience in the different types of operating models, understanding the respective benefits in terms of both business integration and technical & architectural alignment.
• Knowledge of the data value chain: you will be able to define and adapt the end-to-end data lifecycle from data acquisition / creation to exploitation / consumption, though to deletion / archival. You will identify where processes and workflows for data ingestion, transformation and enrichment are required, working with stakeholders to define and implement these processes and workflows as required.
• An understanding of data tooling: You will have a good understanding of the different types and purposes of data & analytical tooling and platforms available. You will be able to identify which tools are required at which points of an organisations value chain and can advise clients on which tools and platforms are most suitable to their specific requirements.
• Excellent communication: You will have an excellent track record of communicating with stakeholders from across our client organisations, being comfortable presenting to and debating with C-suite, end-users, and technical stakeholders.
• Strategy development and implementation: You have experience collaborating with clients and colleagues to define strategic goals for data and analytical capabilities. You will continually assess the operating model strategies to ensure they are aligned to business objectives and can adjust and adapt to the changing needs of our clients.
• Understanding of scaling data analytics and AI: You will understand how data analytics operations are scaled within an organisation, from the design and build of small-scale proof of values transitioning to fully automated data analytics pipelines with advanced AI and ML use cases which serve thousands of customers