Finance Data Scientist Enablement

Imagine what you could do here. At Apple new ideas have a way of becoming great products services and customer experiences very quickly. Bring passion and curiosity to your job and theres no telling what you could accomplish. nnThe FDT Enablement Engineer is a strategic advisor and hands-on enabler within our Catalyst Program focused on driving Finance workforce transformation. This role is pivotal in evolving Finance teams from manual data preparers to AI-enabled decision partners by bridging the gap between business strategy and technology implementation.

Your primary focus will be to guide Finance teams through their maturity journeyfrom file-based automation to intelligent AI and predictive modelsregardless 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.n

Partner u0026 Strategize: Partner with Finance leaders to assess their teams current delivery practices and technical maturity across the Finance AI u0026 Data Capabilities maturity spectrum. Guide them in establishing actionable roadmaps for iterative improvement using tools trainings and best practices you help to u0026 Enable: Develop and deliver tailored roadmaps that outline capability improvements training needs and solution pathways in areas including:nData fluency (SQL data modeling visualization)nAutomation and workflow designnAI agent creation and managementnApplied machine learning for forecasting and controlsnAnalytical storytelling and KPI communicationnGovernance and SOX compliance mindsetnnEducate u0026 Up-skill: Lead engaging workshops and consultations through programs like the Data Wizard Academy to up-skill Finance teams on practical technical delivery conceptsincluding:nTransitioning from manual or local processes into to governed automated workflows in DataikunSQL and Python fundamentals for Finance analystsnNo-code/low-code entry points with visual recipesnPrompt engineering and agentic AI design for Finance use casesnModel explainability and human-in-the-loop validationnAgile methodologies and responsible innovationnnCollaborate u0026 Build: Work alongside engineering teams and Finance analysts to co-design and prototype accessible solutions such as:nAutomated workflows connecting to certified data sources in Snowflake/EDWnInteractive dashboards with narrative storytellingnFinance-specific AI agents for data retrieval summarization and task executionnPredictive models for forecasting anomaly detection and operational efficiencynSOX-ready solutions with audit trails and version controlnnChampion Governance: Promote and ensure adherence to governance frameworks that enable innovation while maintaining compliance:nAI governance frameworks with access controls and audit trailsnCertified data sources and reusable componentsnVersion control and documentation standardsnFreedom to fail safely culture with proper guardrailsnMaking SOX compliance and data security standards easy to understand and follownnFoster Culture: Act as a learning enthusiast championing Finances 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.

Undergraduate degree in finance economics accounting or related disciplinesn5 years SQL and Python development experience including data science and applied machine learningnProven background in business analysis technical consulting product management or similar role where youve guided technology-driven Finance or business initiatives through transformationnA rare ability to act as a translator making complex technical concepts (data warehousing automation ML AI agents) accessible and relevant to Finance professionals with varying technical backgroundsnDemonstrated experience in stakeholder management with Finance leaders with the ability to influence and build trust at all organizational levelsnExperience in organizational transformation change management or digital capability-building programs particularly moving teams from manual/Excel-based processes to automated governed workflowsnUnderstanding of Finance controls compliance requirements (e.g. SOX) and the need for audit trails in analytical environments

Hands-on familiarity with enterprise data platforms like Dataiku Snowflake/EDW and data visualization tools (Tableau Power BI or similar)nExperience with no-code/low-code platforms and visual recipe builders that enable business user adoptionnUnderstanding of AI agent creation prompt engineering and LLM fine-tuning for domain-specific applicationsnDemonstrated expertise managing code promotion and environment separation applying clean code architecture principles developing ETL pipelines and leveraging Git and automated testing best practicesnStrong knowledge of data governance and PII protection practices especially in the context of LLM usage and AI-enabled workflowsnExperience building learning programs academies or communities of practicenExperience working within agile or product-based delivery environmentsnFamiliarity with Finance operations forecasting controls or FPu0026A processesnTrack record of scaling technical capabilities across large analyst populations