Data & AI Strategy Senior Manager
3 weeks ago
Location: London, Manchester, Glasgow (hybrid working arrangements, typically 2 days per week in the office).
Employment type: Permanent.
Salary: up to £100,000 dependent on experience, plus 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.
An overview of the role:
We're seeking talented individuals to join a Data & AI Strategy team of a consultancy that we're supporting, where you'll design and build strategies and operating models to transform organizations across all industries through data & AI.
All Managers and Senior Managers work as trusted advisors with senior clients, leading teams of consultants and technical specialists on large and complex projects.
We're looking for candidates with consulting experience in sectors such as Transport, Energy, Utilities, Government, Defence, Consumer Products & Retail, Healthcare, and Financial Services.
The work:
As a member of our team, you'll have the opportunity to work on a variety of projects with meaningful impact on society, businesses, and lives. You'll gain experience across different capabilities and sectors, diversifying your skillets. Additionally, you'll have the opportunity to take on leadership roles within the consultancy practice, honing your skills before taking them to clients.
Why this role?
As a Data & AI Operating Model Manager, you will play a leadership role in setting organisations up for the fourth industrial revolution, helping them to effectively leverage data and AI to drive business outcomes:
- You will lead the consultancies Data & AI operating model projects, transforming data, analytics & AI capabilities for entire organisations from developing innovative designs through to tackling highly complex and challenging implementations for organisations and teams of different sizes and maturity.
- You will work with stakeholders at all levels of the organisation to assess the maturity of existing data capabilities, identifying opportunities for re-use and corresponding gaps in capability. You will overlay these findings against the strategic objective analytics to develop blueprints for an organisations operating model.
- You will build trusted relationships with their senior clients, enabling you to provide guidance and advisory services on a wide range of data & analytics capabilities at all points of the data & analytics value chain.
- You will blend op model assessment and design with business change expertise, leading not only the design of operating models for their clients, but also the implementation into practice. This includes coaching senior clients to be excellent data leaders.
- You will spearhead the integration of ethical, responsible, and sustainable data practices into operating models, ensuring compliance with regulatory requirements and ethical standards.
- You will contribute to the development of consultancy practice by identifying new market opportunities, creating innovative offerings, and creating thought leadership content. Within our Data & AI Strategy team, you will take on a leadership role as they continue to scale and grow, playing a core role in developing people and leading on the development of their market and capability expertise.
- You will proactively identify opportunities for growth within accounts, leading on the qualification of commercial opportunities, crafting responses and designing teams that meet the needs of clients. You will work with stakeholders from across the consultancy to leverage the full scope of available services, building blended approaches that realise maximum value for their clients.
Skills:
- Organisational design experience: you can advise clients on what makes data teams effective, from data product development teams all the way through to market-leading Chief Data Offices. You understand how to design and embed an effective reporting structure, delivery & deployment methodologies, the governance processes and the skills that make up modern data teams.
- Knowledge of effective data & analytics delivery models: you have an expert knowledge of the different delivery and deployment methodologies for data teams, such as agile data product development, AI/ML Ops and Analytics Ops, adapting these methodologies to clients’ objectives and organisational structure.
- An understanding of business architecture: you understand and can articulate 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.
- Knowledge of the data value chain: you have extensive experience working across the end-to-end data lifecycle from data acquisition / creation to exploitation / consumption, though to deletion / archival. You are able to identify where processes and workflows for data ingestion, transformation and enrichment are required, working with stakeholders and directing junior colleagues to define and implement these processes and workflows as required.
- An understanding of data tooling: You will have a deep 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 what is most suitable to their specfic requirements.
- Excellent communication: You will have an excellent track record of communicating with stakeholders from across client organisations, being comfortable presenting to and debating with C-suite, end-users, and technical stakeholders.
- Strategy development and implementation: You can lead clients and colleagues to define strategic goals for data and analytical capabilities. You will use your experience and knowledge to continually assess the operating model strategies to ensure they are aligned to business objectives, and can adjust and adapt operating models in a flexible manner to meet the changing needs of clients.
- Knowledge of how to scale data capabilities: You know the importance of scaling data capabilities both up and down, and are able to guide clients on leveraging technology to enable teams to streamline and evolve with demand from within the organisation.
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