Data Science Manager - Marketing & Customer

• We shape customer and marketing experiences using generative AI solutions.
• We build essential data platforms, products, and capabilities that empower clients and colleagues.
• We set and implement the strategic vision for our data ecosystem, including data science and engineering.
• We assess generative AI proposals and evaluate alignment with client needs, feasibility, stack compatibility, and build-vs-buy decisions.
• We work collaboratively with digital teams, senior architects, and stakeholders to design comprehensive AI solutions.
• We drive and implement real-world solutions into production that deliver measurable business value.
• We design reusable assets, solutions, and best practices for current and future business problems.
• We consult on complex analyses and advanced machine learning methods.
• We shape AI strategy and oversee the delivery of LLM-based solutions.
• We architect early-stage generative AI initiatives and direct proof-of-concept and prototype development.
• We act as subject matter experts on generative AI and provide guidance to cross-functional teams.
• We execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment.
• We collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications.
• We evaluate generative AI solutions across teams and identify technical risks such as debt accumulation and overlapping initiatives.
• We advocate for cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration.
• We communicate insights and provide strategic guidance to senior client leadership and internal teams.
• We mentor and develop others by sharing our expertise with the wider Applied Intelligence practice.

Technologies:

• AI
• AWS
• Architect
• Azure
• Cloud
• GCP
• Support
• LLM
• Machine Learning
• Marketing
• Network

• We need someone with sufficient fluency in at least one of the Marketing, Commerce, Service, or Sales domains to credibly advise clients and collaborate with practice leads.
• We are looking for experience translating business needs into robust data solutions, with ownership of data strategy, architecture, and engineering excellence.
• We need expertise in generative AI, LLM-based solutions, data science, and machine learning methods.
• We value experience assessing generative AI proposals, including feasibility, stack compatibility, and build-vs-buy decisions.
• We need familiarity with cloud platforms such as AWS, Azure, and GCP for scalable model deployment.
• We are looking for experience with containerization, performance monitoring, and production deployment.
• We value the ability to work across multiple industries and business functions.
• We need strong communication skills to guide senior client leadership and internal teams.
• We value experience mentoring and developing others within a wider practice.

We are Accenture Song, helping clients accelerate growth and value through customer relevance, and our Data and AI practice operates across more than 40 industries in over 120 countries. This role sits at the intersection of marketing, commerce, service, sales, and AI, with opportunities to work on cutting-edge technologies, global client engagements, and production-grade solutions that create measurable business value. We offer a competitive total rewards package including salary, annual performance bonus, equity opportunities, health and wellbeing benefits, 30 days of leave plus 3 volunteering days, family-friendly and flexible work policies, an attractive pension plan, private healthcare insurance, mental wellbeing support, an Employee Assistance Programme, career development and counselling, and generous parental leave offerings. We are based in London or Manchester and provide access to world-class training, a global network of experts, and structured career development in an innovative, collaborative environment.

last updated 39 week of 2026