Data Science Manager - Marketing & Customer Generative AI Enterprise Architect
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

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

  • Tasks: Lead innovative AI projects to enhance customer experiences and drive business impact.
  • Company: Join Accenture Song, a leader in transforming businesses through technology and creativity.
  • Benefits: Enjoy 30 days of leave, flexible work policies, and comprehensive health benefits.
  • Why this job: Be part of a vibrant team shaping the future of AI in marketing and customer engagement.
  • Qualifications: Experience in data science, machine learning, and strong communication skills are essential.
  • Other info: Collaborate with global brands and access world-class training for career growth.

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

Job Role

Data Science Manager – Marketing & Customer Generative AI Enterprise Architect

Location

London / Manchester / Edinburgh / Newcastle / Birmingham

Career Level

Manager (L7)

About Accenture Song

Accenture Song accelerates growth and value for 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 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

Our Team

The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI drives exciting changes and brings 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.

Accenture’s 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 Accenture’s broader Strategy and Consulting practice, we 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.

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 with 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 Intelligence’s 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.

Qualification 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.

Locations

  • London
  • Birmingham
  • Edinburgh
  • Manchester
  • Newcastle

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.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well‑being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com .

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Data Science Manager - Marketing & Customer Generative AI Enterprise Architect employer: WeAreTechWomen

Accenture is an exceptional employer that fosters a vibrant and inclusive work culture, offering employees the chance to work with cutting-edge technologies in a collaborative environment. With a strong focus on career development through world-class training programmes and a commitment to employee well-being, including generous leave policies and flexible work arrangements, Accenture empowers its team members to thrive both personally and professionally. Join us in London, Manchester, Edinburgh, Newcastle, or Birmingham to be part of a global network that drives meaningful change across industries.
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Contact Detail:

WeAreTechWomen Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Familiarise yourself with the latest trends in generative AI and data science. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field, making you a more attractive candidate.

✨Tip Number 2

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

✨Tip Number 3

Prepare to showcase your technical skills through practical examples. Be ready to discuss specific projects where you've successfully implemented AI solutions or data strategies, as this will highlight your hands-on experience and problem-solving abilities.

✨Tip Number 4

Understand Accenture's values and culture. Research their approach to innovation and client engagement, and be prepared to articulate how your personal values align with theirs. This can help you stand out as a candidate who fits well within their team.

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

Data Science Expertise
Machine Learning Frameworks (GANs, VAEs, LLMs)
Generative AI Knowledge
Python Programming
Data Modelling
Cloud Platforms (AWS, Azure, GCP)
MLOps and AI Lifecycle Management
AI Architecture Design
Client Communication Skills
Stakeholder Management
Technical Risk Evaluation
Responsible AI Compliance
Problem-Solving Skills
Statistical Analysis
Creative Thinking
Team Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and client communication. Use keywords from the job description to demonstrate your fit for the role.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about generative AI and how your skills align with the company's goals. Mention specific projects or experiences that showcase your expertise.

Showcase Technical Skills: Clearly outline your technical skills related to programming languages like Python and frameworks such as GANs and LLMs. Provide examples of how you've applied these skills in previous roles.

Demonstrate Client Partnership Experience: Highlight instances where you've successfully built relationships with clients and stakeholders. Use specific examples to illustrate your ability to translate business needs into actionable data solutions.

How to prepare for a job interview at WeAreTechWomen

✨Understand the Role

Make sure you have a clear understanding of the Data Science Manager position and its responsibilities. Familiarise yourself with generative AI concepts and how they apply to marketing and customer experiences, as this will be crucial in demonstrating your fit for the role.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data science, machine learning frameworks, and programming languages like Python. Highlight specific projects where you've successfully implemented AI solutions, especially those that align with the company's focus on generative AI.

✨Communicate Effectively

Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to convey ideas to non-technical stakeholders. Use examples from your past experiences to illustrate your points.

✨Demonstrate Leadership and Collaboration

As a manager, you'll need to lead teams and collaborate across functions. Prepare examples of how you've successfully led projects or initiatives, and be ready to discuss how you foster collaboration among diverse teams to achieve common goals.

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect
WeAreTechWomen
Location: London

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