At a Glance
- Tasks: Lead innovative data strategies and shape AI solutions for top brands.
- Company: Join Accenture, a global leader in technology and human ingenuity.
- Benefits: Enjoy competitive pay, world-class training, and a vibrant work culture.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in data science and a passion for generative AI.
- Other info: Collaborate with global teams and grow your career in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Overview Job Role: Data Science Manager - Marketing technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. We help our clients operate at the speed of life through imagination, technology and intelligence.
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 will 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 will be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
- 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.
- 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.
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.
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect employer: WeAreTechWomen
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
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their projects, especially in Data Science and AI, so you can speak their language and show how you can contribute to their goals.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role of Data Science Manager. Highlight your skills in generative AI and data strategy to make a lasting impression.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Manager - Marketing & Customer Generative AI Enterprise Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your experience in marketing technology and generative AI, as well as any relevant projects that showcase your skills.
Showcase Your Impact: When detailing your previous roles, focus on the real-world business impact you've made. Use metrics and examples to illustrate how your contributions have driven measurable value for clients or projects.
Be Authentic: Let your personality shine through in your application. We want to see who you are beyond your qualifications, so don’t hesitate to share your passion for data science and how it aligns with our mission at StudySmarter.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our official website. This ensures it gets to the right people and shows you're serious about joining our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in marketing technology and generative AI. Be ready to discuss specific projects you've worked on, the tools you used, and how they contributed to business outcomes.
✨Showcase Your Strategic Thinking
Accenture is all about driving end-to-end business change. Prepare examples that demonstrate your ability to translate business needs into robust data strategies. Think about how you've aligned data solutions with client goals in the past.
✨Collaborate Like a Pro
This role involves working with various teams and stakeholders. Be prepared to talk about your experience in cross-functional collaboration. Highlight instances where you’ve successfully partnered with digital teams or senior architects to deliver impactful AI solutions.
✨Stay Ahead of the Curve
The tech landscape is always evolving, especially in AI. Show your passion for innovation by discussing the latest trends in generative AI and how you’ve applied them in your work. This will demonstrate your commitment to staying relevant and driving change.