Data Science and AI Engineering Lead
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Job Description
- Leadership (20%):
- Help lead and develop a high-performing Data Science and AI Engineering team
- Help drive the adoption of AI and analytics best practice across CSIO, IT (TDI), and Deutsche Bank more widely
- Foster a collaborative and innovative team environment, encouraging continuous learning and skill development on topics across AI
- Stay abreast of industry trends and emerging technologies in data warehousing, business intelligence, and cloud analytics, particularly within the Google Cloud Platform ecosystem.
- Conduct performance reviews, provide constructive feedback, and support career progression for team members as needed
- Stakeholder Management and Governance (10%):
- Help ensure the CBIBOC Data Science and AI Engineering book of work is transparently documented and managed to ensure tasks are efficiently allocated and executed, and progress is easily tracked and reported
- Ensure AI governance requirements, as mandated by bank policy, regulation, or law, are adhered to for all new solutions developed
- Provide demos of new solutions, training materials, slides, and other materials as required to support the CBIBOC communication and upskilling agenda
- Hands-on Development of AI Solutions (70%):
- Lead by example, working with other Squad members to design, develop, and implement novel AI solutions
- Partner with business stakeholders and other Squad members to understand their needs and priorities, and identify new opportunities for the development or use of AI solutions
- Ensure new AI use cases (Squad projects) are rigorously evaluated and prioritized based on expected ROI, strategic alignment, technical feasibility and risk
- Ensure all new AI solutions are thoroughly tested, validated, controlled (e.g. implementation of guardrails, access permissions, etc.), and monitored on an ongoing basis
- Ensure all new AI solutions are recorded in a centralized inventory and brought through the required approval steps prior to production implementation
- Track against agreed KPIs to demonstrate the effectiveness and value of each AI solution (e.g. costs and benefits as well as accuracy/consistency/performance)