At a Glance
- Tasks: Advise clients on AI strategies and lead tech-driven transformations.
- Company: Join a leading consultancy shaping the future of AI and data.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work in a dynamic environment with diverse teams across major UK cities.
- Why this job: Make a real impact by driving AI-led business innovation.
- Qualifications: Experience in AI projects and strong leadership skills required.
The predicted salary is between 70100 - 100000 £ per year.
Senior Enterprise AI Value Strategist
As a senior Enterprise AI Value Strategist, you advise clients on how to create and capture value from AI and data.
You define enterprise, industry‑specific and function‑specific AI and data strategy, develop value cases and roadmaps, shape AI and data operating models and platform strategy, 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‑ and AI‑led business reinvention.
- Define and structure an organization’s data and AI strategy to build and optimise data assets and AI technologies for growth and 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, data strategy and future‑ready operating model.
- Create the business case, investment profile and roadmap to deliver on the strategy.
- Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
- Identify people, processes and technologies to develop and operationalise AI solutions.
- Create strategy for AI‑first products and develop commercialization opportunities.
- Qualification
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 leading senior‑level (C‑suite) conversations or managing senior‑level 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 to originate and shape new deals and lead go‑to‑market activities
- Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients
- Preferred Qualification
- MBA/Masters
- Locations
- London
- Birmingham
- Bristol
- Manchester
- Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
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Enterprise AI Value Strategist - Senior Manager employer: WeAreTechWomen
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Value Strategist - Senior Manager
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like WeAreTechWomen!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Enterprise AI Value Strategist - Senior Manager
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at WeAreTechWomen, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at WeAreTechWomen
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with WeAreTechWomen’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
