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Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)
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Accenture UK & Ireland
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative AI projects and shape customer experiences with cutting-edge data solutions.
  • Company: Accenture is a global leader in consulting, helping clients thrive through technology and creativity.
  • Benefits: Enjoy a vibrant work culture, access to world-class training, and opportunities for career growth.
  • Why this job: Join a dynamic team transforming industries with AI, making a real-world impact on businesses.
  • Qualifications: Experience in data science, AI, and strong leadership skills are essential for this role.
  • Other info: Work with renowned brands and collaborate globally while driving ethical AI practices.

The predicted salary is between 43200 - 72000 £ per year.

Data Science Manager – Marketing & Customer Generative AI Enterprise Architect

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Data Science Manager – Marketing & Customer Generative AI Enterprise Architect

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Join to apply for the Data Science Manager – Marketing & Customer Generative AI Enterprise Architect role at Accenture UK & Ireland

Job Role: Data Science Manager – Marketing & Customer Generative AI Enterprise Architect
Location: London/Manchester/Edinburgh/Newcastle/Birmingham
Career Level: Manager (L7)
We Are:
Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index
As a team:
The Data and AI revolution is changing everything. Its everywhere transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.
Accentures Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accentures broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.
You\’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.
If youre looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you\’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
In our team you will:
Shape Customer and Marketing Experiences w/ Generative AI solutions:

  • Be at the forefront of the industry creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
  • Build essential data platforms, products, and capabilities that empower clients and colleagues.
  • Set and implement the strategic vision for Applied Intelligences data ecosystem, including data science and engineering.
  • Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build-vs-buy decisions.
  • Work collaboratively with digital teams, senior architects, and stakeholders to design comprehensive AI solutions within the enterprise.

    • Deliver Real-World Business Impact

  • Drive and implement real-world solutions into production that drive measurable business value for our clients.
  • Work alongside global teams to collaborate and deliver the best solutions for clients.

    • Grow Your Expertise and Career

  • Become an integral part of our Applied Intelligence team with the credibility, expertise, and insight clients depend on.
  • Develop your skills with our world-class training programmes.
  • Drive your career progression through our structured career development programs.
  • Align with our industry partners to develop your career and the solutions we deliver for our clients.

    • Collaborate with Global Brands

  • Work with famous brands and household names no worrying about how to explain what you do to your family again!
  • Design reusable assets, solutions and develop best practices for current and future business problems.
  • Consult on complex analyses and advanced machine learning methods.
  • Communicate and provide guidance to senior client leadership and teams.
  • Shape AI Strategy and the delivery of LLM based solutions.
  • Operate across multiple industries and functions.
  • Develop others by bringing your unique knowledge and skillsets to the wider practice.

    • In this role you will:
    Define and Deliver Customer-Centric Data Strategies

  • Translate business needs into robust data solutions and own the data strategy, architecture, and engineering excellence within Applied Intelligence.
  • Work closely with teams and senior architects to define strategies for AI solutions, ensuring alignment with client needs for impactful and effective implementations.
  • Shape AI strategy and oversee the delivery of LLM-based solutions that enhance customer and marketing outcomes.

    • Lead Generative AI Innovation and Prototyping

  • Architect early-stage generative AI initiatives, directing proof-of-concept (PoC) and prototype development in collaboration with teams.
  • Act as a subject matter expert on generative AI, providing guidance to cross-functional teams including digital, platform, and governance stakeholders.

    • Deploy and Scale AI Solutions

  • Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment.
  • Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment.
  • Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value.

    • Ensure Responsible and Ethical AI

  • Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment.
  • Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives.

    • Promote Innovation and Best Practices

  • Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration.
  • Design reusable assets, solutions, and develop best practices for current and future business problems.
  • Consult on complex analyses and advanced machine learning methods to solve challenging business problems.

    • Lead Across Industries and Teams

  • Operate across multiple industries and business functions to deliver AI-driven customer and marketing transformations.
  • Communicate insights and provide strategic guidance to senior client leadership and internal teams.
  • Mentor and develop others by sharing your unique expertise and skillsets with the wider Applied Intelligence practice.

    • Seniority level

    • Seniority levelMid-Senior level

    Employment type

    • Employment typeFull-time

    Job function

    • Job functionEngineering and Information Technology
    • IndustriesIT Services and IT Consulting

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    Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London) employer: Accenture UK & Ireland

    Accenture is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration across diverse teams. With access to world-class training programmes and opportunities for career advancement, employees are empowered to grow their expertise while working on cutting-edge technologies in a dynamic environment. Located in major cities like London, the company provides a unique chance to engage with renowned global brands, making a meaningful impact in the field of Data Science and AI.
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    Contact Detail:

    Accenture UK & Ireland Recruiting Team

    View Accenture UK & Ireland Profile

    StudySmarter Expert Advice 🤫

    We think this is how you could land Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)

    ✨Tip Number 1

    Familiarise yourself with the latest trends in generative AI and data science. Understanding how these technologies are being applied in marketing will give you an edge during discussions with potential employers.

    ✨Tip Number 2

    Network with professionals in the data science and AI fields. Attend industry events, webinars, or meetups to connect with people who work at Accenture or similar companies, as they can provide valuable insights and potentially refer you.

    ✨Tip Number 3

    Showcase your experience with AI solutions and data strategies through personal projects or contributions to open-source initiatives. This practical experience can demonstrate your capabilities and passion for the field.

    ✨Tip Number 4

    Prepare to discuss real-world applications of AI in marketing during interviews. Be ready to share examples of how you've used data to drive business outcomes, as this aligns closely with the role's focus on delivering measurable value.

    We think you need these skills to ace Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)

    Data Science Expertise
    Generative AI Knowledge
    AI Strategy Development
    Data Architecture Design
    Machine Learning Proficiency
    Cloud Platform Experience (AWS, Azure, GCP)
    Technical Leadership
    Project Management Skills
    Stakeholder Engagement
    Prototyping and Proof-of-Concept Development
    Ethical AI Practices
    Data Engineering Skills
    Cross-Functional Collaboration
    Communication Skills
    Mentoring and Coaching

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience in data science, marketing, and generative AI. Use keywords from the job description to demonstrate that you meet the specific requirements of the role.

    Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with Accenture's mission. Mention specific projects or experiences that showcase your expertise in AI and data strategies.

    Showcase Your Technical Skills: Detail your proficiency in relevant technologies such as AWS, Azure, GCP, and machine learning algorithms. Provide examples of how you've successfully implemented these technologies in past roles.

    Highlight Leadership Experience: Since this is a managerial position, emphasise any leadership roles you've held. Discuss how you've mentored teams, driven innovation, and delivered impactful solutions in previous positions.

    How to prepare for a job interview at Accenture UK & Ireland

    ✨Understand the Role and Company

    Before your interview, make sure you thoroughly understand the Data Science Manager role and how it fits within Accenture's broader mission. Familiarise yourself with their projects in generative AI and customer experience to demonstrate your genuine interest.

    ✨Prepare for Technical Questions

    Expect to face technical questions related to data science, AI solutions, and machine learning methodologies. Brush up on your knowledge of generative AI, cloud platforms like AWS and Azure, and be ready to discuss your past experiences with these technologies.

    ✨Showcase Your Leadership Skills

    As a managerial position, it's crucial to highlight your leadership abilities. Prepare examples of how you've led teams, mentored colleagues, or driven projects to success. Be ready to discuss how you can foster collaboration across diverse teams.

    ✨Ask Insightful Questions

    At the end of the interview, ask thoughtful questions that reflect your understanding of the industry and the company's goals. Inquire about their approach to ethical AI deployment or how they envision the future of generative AI in marketing, showing your forward-thinking mindset.

    Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)
    Accenture UK & Ireland

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    • Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (London)

      London
      Full-Time
      43200 - 72000 £ / year (est.)

      Application deadline: 2027-08-07

    • A

      Accenture UK & Ireland

      View Accenture UK & Ireland Profile
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