Specialized Analytics Lead Analyst role at Citi focused on leveraging machine learning for fraud prevention, conducting data engineering, building predictive models, and managing fraud risks.
About the role
- Senior Director managing Data Science & AI capabilities for financial well-being at Aviso. Leading a multidisciplinary team to drive AI adoption and measurable business outcomes under governance.
Responsibilities
- Lead the enterprise roadmap for data science, advanced analytics, and AI-enabled capabilities—from discovery through production scale
- Establish research, experimentation, and measurement standards (hypothesis framing, A/B tests and bandits where appropriate, evaluation, and impact measurement)
- Lead and coach multidisciplinary teams to drive discovery, prioritization, adoption, and lifecycle management
- Partner with engineering and architecture to deliver reusable, production-grade patterns on Databricks across Azure and/or AWS (pipelines, scoring/services integration, reliability, monitoring)
- Drive build / buy / partner / hybrid decisions and structure external engagements with clear outcomes and knowledge transfer
- Embed responsible AI and governance by design—privacy, security, compliance, documentation, and audit-ready delivery—plus ongoing monitoring and lifecycle management (performance, drift, stability, and guardrails).
- Lead, develop, and grow a high-performing team and culture grounded in rigor, collaboration, and measurable impact
Requirements
- Graduate degree in Business Analytics, Data Science, Computer Science, Statistics, Engineering, or a related STEM field (or equivalent combination of education and experience)
- Relevant certifications in AI/ML, cloud, data engineering, or product leadership (preferred), or equivalent advanced accredited training
- Scrum / Agile certification is an asset (CSM, PSM I/II, SAFe Agilist, or equivalent)
- 10+ years of experience in data science, analytics, and applied AI delivering measurable business outcomes
- 5+ years of experience leading and scaling data science and analytics teams
- Proven experience taking work from research/insight through to production-grade solutions with adoption and performance ownership
- Experience leading cross-functional delivery with business and functional partners, including executive stakeholder management
- Experience delivering AI solutions in regulated, high-trust environments (privacy, security, compliance, audit expectations)
- Strong grounding in experimentation and evaluation (A/B testing, bandits where appropriate, uplift measurement, guardrails) and model validation/monitoring
- Strong product-oriented mindset; ability to translate insights into AI-enabled capabilities people adopt
- Experience with or strong interest in learning GenAI / LLM solutions (e.g., RAG, copilots/agentic), including LLM evaluation and LLMOps concepts (versioning, monitoring, operational ownership)
- Expert proficiency with Python and/or R and modern ML frameworks (TensorFlow, PyTorch, scikit-learn; familiarity with Keras or mLlib is an asset)
- Strong experience with large-scale data processing and modern data platforms, including Databricks
- Experience delivering in cloud environments such as Azure and/or AWS
- Strong ability to partner with engineering/architecture on production-grade delivery (APIs/services integration, CI/CD/ML alignment, reliability, monitoring)
- Advanced data storytelling and visualization experience; strong BI tool fluency (Power BI/Tableau) and ability to coach standards
- Ability to explain complex technical concepts and analyses to non-technical audiences and influence decisions with clarity and credibility
- Comfort with ambiguity and evolving priorities; ability to lead teams while aligning across business and functional partners
- Fluent communication skills in English are required and bilingual skills in French are an asset.
Benefits
- Competitive compensation package that rewards and recognizes individual contributions
- Excellent health, dental and insurance benefits to meet the diverse needs of our employees
- Generous vacation time, fitness benefit, parental leave top-up options
- Matching contributions to our retirement program
- Commitment to the continuous improvement of our staff through learning & development and an education assistance program
- Regular social events to foster teamwork
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