At a Glance
- Tasks: Shape AI and data strategies to drive business transformation and innovation.
- Company: Join Accenture, a leader in tech-driven solutions and consulting.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Dynamic role with opportunities for creativity and innovation.
- Why this job: Make a real impact by advising clients on AI and data strategies.
- Qualifications: Experience in AI & Data projects and strong stakeholder management skills.
The predicted salary is between 63000 - 77000 £ per year.
Apply (by clicking the relevant button) after checking through all the related job information below.
hackajob is partnering directly with Accenture to hire for this role.
As a Data & AI Strategy Manager, you advise clients on how to create and capture value from AI and data.
You define enterprise, industry-specific and function-specific AIand data strategy, develop value cases and roadmaps, shape AI and data operating models and platformstrategy, embed Responsible AI, and lead tech-driven transformations.
You translate complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes.
- THE WORK
- Shape vision and create opportunities for data & AI led business reinvention.
- Define and structure an organizations data and AI strategy to build andoptimizedata assets and AI technologies for growth & competitive advantages.
- Assess maturity of an organization's AI and data foundation.
Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, datastrategyand future-ready operating model.
- Create the business case, investmentprofileand roadmap to deliver on the strategy.
- Infuse Responsible AI in vision and roadmap, develop plan forleveragingecosystem partners, and define operating model to foster a culture of innovation and experimentation.
- Identifypeople, processesand technologies to develop and operationalize AI solutions. xgikmsk
- Create strategy for AI-first products and develop commercialization opportunities.
EDUCATION
- Bachelor's degree or equivalent
- BASIC (REQUIRED) QUALIFICATION
- AI & Data experience including solutioning, designing, or delivering AI & Data projects
- High-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines or relevant industry / functional experience
- Experience in managing senior stakeholders
- Engineering problem-solver mindset ability to apply technology creatively to complex business problems
- Strong program management and verbal and written communication skills
- Driven and entrepreneurial: ability t Please click on the apply button to read the full job description
Data & AI Strategy - Manager in London employer: Hackajob
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We think this is how you could land Data & AI Strategy - Manager in London
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We think you need these skills to ace Data & AI Strategy - Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
