Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Job Role: Data Science Manager - Marketing & Customer Generative AI Enterprise Architect 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. The Data and AI revolution is changing everything. 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. 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. 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. 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. 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. Shape AI Strategy and the delivery of LLM based solutions. 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. 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. Mentor and develop others by sharing your unique expertise and skillsets with the wider Applied Intelligence practice. #