Data science manager - marketing & customer generative ai enterprise architect

Responsibilities

• 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 skills with world‑class training programmes.
• Drive career progression through structured career development programmes.
• Align with industry partners to develop your career and the solutions we deliver for our clients.
• 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.
• Architect early‑stage generative AI initiatives, directing PoC and prototype development in collaboration with teams.
• Act as a subject matter expert on generative AI, providing guidance to cross‑functional teams.
• Execute deployment strategies and provide technical guidance on containerisation, 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.
• 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 within the Applied Intelligence practice.

Qualifications

• 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.

Benefits

• Competitive basic salary and annual performance bonus.
• Opportunities to acquire equity.
• Extensive health and wellbeing benefits, including private healthcare insurance and mental wellbeing support.
• 30 days of leave each year plus three extra voluntary days for charitable work.
• Family‑friendly and flexible work policies.
• Attractive pension plan with financial wellbeing support and resources.
• Employee assistance programme, career development, and counselling.
• Generous parental leave offerings.