At a Glance
- Tasks: Lead AI-driven projects to enhance customer experiences and drive business value.
- Company: Accenture Song transforms businesses through innovative technology and creative solutions.
- Benefits: Enjoy flexible work options, world-class training, and a vibrant, inclusive culture.
- Why this job: Join a dynamic team at the forefront of AI innovation and make a real-world impact.
- Qualifications: Seeking candidates with strong data science skills and a passion for AI technologies.
- Other info: Work with global brands and develop your expertise in a supportive environment.
The predicted salary is between 28800 - 42000 £ per year.
Data Science Manager – Marketing & Customer Generative AI Enterprise Architect
Ind & Func AI Decision Science Manager | Senior Level | Full time
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. 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 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.
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 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 you’re 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 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.
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.
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.
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.
Multiple Locations | Senior Level | Full time
Learn more about the hiring process at Accenture
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Ind & Func AI Decision Science Manager employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ind & Func AI Decision Science Manager
✨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.
✨Tip Number 2
Network with professionals in the AI and data science community. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to showcase your problem-solving skills through real-world examples. Think of specific projects where you successfully implemented AI solutions or data strategies that had a measurable impact on business outcomes.
✨Tip Number 4
Research Accenture's values and recent projects related to AI and data science. Tailoring your conversation to align with their mission and demonstrating how your experience fits into their goals can set you apart from other candidates.
We think you need these skills to ace Ind & Func AI Decision Science Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Ind & Func AI Decision Science Manager position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Craft a Compelling CV: Your CV should clearly showcase your experience in data science, AI, and marketing. Use quantifiable achievements to demonstrate your impact in previous roles, and ensure it is formatted professionally for easy readability.
Write a Strong Cover Letter: In your cover letter, express your passion for AI and data-driven decision-making. Discuss how your background aligns with Accenture's mission and values, and provide specific examples of how you've successfully implemented AI solutions in past roles.
Highlight Relevant Skills: Make sure to emphasise your technical skills related to AI, data architecture, and machine learning. Mention any experience with cloud platforms like AWS, Azure, or GCP, as well as your ability to work collaboratively across teams to deliver impactful solutions.
How to prepare for a job interview at Accenture
✨Understand the Role and Responsibilities
Before the interview, make sure you thoroughly understand the job description. Familiarise yourself with the key responsibilities, especially around generative AI and data strategies, as this will help you articulate how your experience aligns with their needs.
✨Showcase Your Technical Expertise
Be prepared to discuss your technical skills in data science, AI engineering, and machine learning. Highlight specific projects where you've successfully implemented these technologies, particularly in a marketing or customer-centric context.
✨Demonstrate Collaborative Skills
Accenture values teamwork, so be ready to share examples of how you've worked collaboratively across teams. Discuss any experiences where you’ve partnered with stakeholders to deliver impactful solutions, as this will resonate well with their culture.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask your interviewers about their current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.