Data & AI Business Strategy Manager

JR United Kingdom; City Of London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading consulting firm seeks a Data & AI Business Strategy Manager in London. This role focuses on developing and implementing data strategies, designing operating models, and crafting business cases for data initiatives. The ideal candidate will have strong expertise in data consultancy, augmented insights, and proven experience in business development.

Qualifications

• Experience in data consultancy and AI strategy.
• Strong understanding of data science tools like SQL and Python.
• Ability to design operating models for AI implementations.

Responsibilities

• Formulate strategies for AI and GenAI implementation.
• Design operating models integrating Data and AI capabilities.
• Craft business cases articulating ROI of Data and AI initiatives.

Skills

Data consultancy and strategy

Strategy implementation of tech

Business Development for data and AI necessity

Value strategy

Data science tools (SQL, Python)

Augmented insights tools (Power BI)

E2E solutioning

Industry use-case accelerators

Job description

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Data & AI Business Strategy Manager, London (City of London)

Client: Accenture

Location: London (City of London), United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 6

Posted: 26.06.2025

Expiry Date: 10.08.2025

Job Description:

• Skills:
• Data consultancy and strategy
• Strategy implementation of tech
• Helping business with BD for data and AI necessity
• Value strategy
• Data science tools (SQL, Python)
• Augmented insights tools (Power BI)
• E2E solutioning - ability to turn ecosystem plays into client value, use-case mapping, IP Development
• Accelerators for industry use-cases

Data & AI Strategy Development: Formulating strategies for AI and GenAI implementation, identifying key use cases, and outlining actionable roadmaps.

Target Operating Models: Designing operating models that integrate Data and AI capabilities, ensuring alignment with organizational objectives and fostering a Data & AI-driven culture.

Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights.