Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Career Level: Manager (L7)

We Are:

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

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.

• 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.

• 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.

• 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:

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.