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The 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.

Description:

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.

Preferred Qualifications:

Hands-on familiarity with enterprise data platforms like Dataiku, Snowflake/EDW, and data visualization tools (Tableau, Power BI, or similar)

Experience with no-code/low-code platforms and visual recipe builders that enable business user adoption

Understanding of AI agent creation, prompt engineering, and LLM fine-tuning for domain-specific applications

Demonstrated expertise managing code promotion and environment separation, applying clean code architecture principles, developing ETL pipelines, and leveraging Git and automated testing best practices

Strong knowledge of data governance and PII protection practices, especially in the context of LLM usage and AI-enabled workflows

Experience building learning programs, academies, or communities of practice

Experience working within agile or product-based delivery environments

Familiarity with Finance operations, forecasting, controls, or FP&A processes

Track record of scaling technical capabilities across large analyst populations

Minimum Qualifications:

5+ years SQL and Python development experience, including data science and applied machine learning

Proven background in business analysis, technical consulting, product management, or similar role where you've guided technology-driven Finance or business initiatives through transformation

A 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 backgrounds

Demonstrated experience in stakeholder management with Finance leaders, with the ability to influence and build trust at all organizational levels

Experience in organizational transformation, change management, or digital capability-building programs, particularly moving teams from manual/Excel-based processes to automated, governed workflows

Understanding of Finance controls, compliance requirements (e.g., SOX), and the need for audit trails in analytical environments

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits:

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.