Finance Data Scientist - Enablement

About the role

Your primary focus will be to guide Finance teams through their maturity journey-from file-based automation to intelligent AI and predictive models-regardless of their current technical expertise. You will empower them to effectively leverage capabilities ranging from data automation and business intelligence to advanced analytics, machine learning, and AI agent creation within a governed, compliant framework. ","responsibilities":"Partner & Strategize: Partner with Finance leaders to assess their team's current delivery practices and technical maturity across the Finance AI & Data Capabilities maturity spectrum. Guide them in establishing actionable roadmaps for iterative improvement using tools, trainings, and best practices you help to provide. Guide & Enable: Develop and deliver tailored roadmaps that outline capability improvements, training needs, and solution pathways in areas including: Data fluency (SQL, data modeling, visualization) Automation and workflow design AI agent creation and management Applied machine learning for forecasting and controls Analytical storytelling and KPI communication Governance and SOX compliance mindset Educate & Up-skill: Lead engaging workshops and consultations through programs like the Data Wizard Academy to up-skill Finance teams on practical technical delivery concepts, including: Transitioning from manual or local processes into to governed, automated workflows in Dataiku SQL and Python fundamentals for Finance analysts No-code/low-code entry points with visual recipes Prompt engineering and agentic AI design for Finance use cases Model explainability and human-in-the-loop validation Agile methodologies and responsible innovation Collaborate & Build: Work alongside engineering teams and Finance analysts to co-design and prototype accessible solutions such as: Automated workflows connecting to certified data sources in Snowflake/EDW Interactive dashboards with narrative storytelling Finance-specific AI agents for data retrieval, summarization, and task execution Predictive models for forecasting, anomaly detection, and operational efficiency SOX-ready solutions with audit trails and version control Champion Governance: Promote and ensure adherence to governance frameworks that enable innovation while maintaining compliance: AI governance frameworks with access controls and audit trails Certified data sources and reusable components Version control and documentation standards "Freedom to fail safely" culture with proper guardrails Making SOX compliance and data security standards easy to understand and follow Foster Culture: Act as a learning enthusiast, championing Finance's evolution from reactive reporting to proactive, predictive decision support. Build a "Finance Analytics Community" for peer support, knowledge sharing, and continuous improvement in data-driven decision-making.