Electronics E-3 Sponsorship Jobs in Texas

INTRODUCTION

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 dedication to your job and there's no telling what you could accomplish. Do you love thinking analytically? Are you passionate about using your financial knowledge to navigate complex challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders.

DESCRIPTION

Are you passionate about using your financial knowledge to navigate complex challenges? As part of this group, you’ll play an integral role in ensuring our day-to-day financial health. In this role you will support Apple’s growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. You’ll also collaborate with Apple teams across the world to develop more effective strategies and risk management. Finance is critical to upholding our global dedication to excellence, and it is directly responsible for shaping the company’s future. Join us, and you’ll have a critical role in continuing Apple’s legacy of efficiency, scalability, and success.

The Technology Champion GPA role is a technical and analytical expert who supports data and technology development needs within Hire-to-Retire. This role is at the forefront of transforming Apple’s financial operations through innovative and AI-driven solutions. It is a critical technical and analytical leader, responsible for partnering with H2R, Finance, IS&T, and FDT teams to design, develop, and deploy solutions that drive efficiency, accuracy, and actionable insights. This role is a trusted business partner; engaging across various functions to support data analysis, enhance existing products, and support product users. This role requires a passion for emerging technologies, a strong understanding of financial processes, and the ability to translate complex business needs into impactful technical solutions.

Responsibilities

• AI-Powered Process Optimization: Analyze current H2R business processes and data flows to identify opportunities for AI/ML-driven automation, predictive analytics, and intelligent decision-making.

• Data Savvy: Leverage data from diverse sources (Snowflake, EDW, external APIs, etc.) to fuel technology solutions and advanced analytics.

• Solution Development & Deployment: Develop end-to-end solutions, leveraging a modern technology stack (SQL, Python, Dataiku, cloud platforms) to create stand-alone or integrated AI models, data visualizations, and analytic applications.

• Insight Communication & Storytelling: Translate complex data insights into clear, concise, and actionable recommendations for Finance stakeholders and leadership, using compelling visualizations and data storytelling techniques.

• Data Governance & Security: Awareness of data security protocols and privacy and SOX requirements, ensuring compliance with all applicable regulations and policies.

• AI Technology Research & Evaluation: Continuously research and evaluate emerging AI technologies, data science methodologies, and data visualization tools to enhance the team's technical capabilities and drive innovation.

• Finance Data Wizard Enablement: Mentor and guide Finance data wizards, providing technical expertise, best practices, and governance models.

MINIMUM QUALIFICATIONS

• Current experience in the Global Business Solutions (GBS) organization.

• 4-8 years of strong technical, problem solving, and analytical skills.

• Experience with, or the ability to quickly learn business processes, an eagerness to learn new technologies, and strong communication and influencing skills are key differentiators.

• Proven experience in implementing and supporting data analysis and AI/ML models.

• Understanding of relational database concepts and hands-on experience with common database platforms.

• Expertise in programming languages such as Python and SQL.

• Data modeling experience using large datasets and ability to interpret the output of those large datasets.

• Demonstrated proficiency with common data visualization tools such as Tableau.

• Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

• Strong analytical and problem-solving skills, with the ability to extract, understand, and document business requirements.

PREFERRED QUALIFICATIONS

• Understanding of modern data security requirements, experience with applying data encryption and data security standards a plus.

• Corporate finance and accounting experience a major advantage.